E-learning bibliometric analysis from 2015 to 2020
Abstract This study aims to comprehensively examine the e-learning research field by conducting a bibliometric analysis of 12,272 publications between 2015 and 2020 from the WoS database. The study aims to highlight collaborations between authors, universities, and countries in the field, to identif...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Djeki, Essohanam [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2022 |
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| Schlagwörter: |
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| Anmerkung: |
© Beijing Normal University 2021 |
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| Übergeordnetes Werk: |
Enthalten in: Journal of computers in education - Berlin : Springer, 2014, 9(2022), 4 vom: 30. Jan., Seite 727-754 |
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| Übergeordnetes Werk: |
volume:9 ; year:2022 ; number:4 ; day:30 ; month:01 ; pages:727-754 |
| Links: |
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| DOI / URN: |
10.1007/s40692-021-00218-4 |
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| Katalog-ID: |
SPR048372994 |
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| 520 | |a Abstract This study aims to comprehensively examine the e-learning research field by conducting a bibliometric analysis of 12,272 publications between 2015 and 2020 from the WoS database. The study aims to highlight collaborations between authors, universities, and countries in the field, to identify the most influential authors, universities, countries, and reference papers; to know the research topics on which researchers have been working in recent years, and to examine African contribution in the field. The findings showed that the USA, Spain, England, and China are the most productive countries on e-learning. A. Tarhini is the most influential author, and e-Learning researchers host Universities are mainly from the UK, USA, and China. Computers in Human Behavior, Computers & Education, and International Journal of Emerging Technologies in Learning are the most represented journals; Islamic Azad University, Universidade Nova de Lisboa, and King Abdulaziz University are the most influential universities. The analysis shows that the collaboration between authors, universities, and countries working on e-learning is low, and COVID-19 has a significant impact on e-learning. African contribution and research on e-learning and its security are feeble. | ||
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10.1007/s40692-021-00218-4 doi (DE-627)SPR048372994 (SPR)s40692-021-00218-4-e DE-627 ger DE-627 rakwb eng Djeki, Essohanam verfasserin (orcid)0000-0001-7301-3919 aut E-learning bibliometric analysis from 2015 to 2020 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Beijing Normal University 2021 Abstract This study aims to comprehensively examine the e-learning research field by conducting a bibliometric analysis of 12,272 publications between 2015 and 2020 from the WoS database. The study aims to highlight collaborations between authors, universities, and countries in the field, to identify the most influential authors, universities, countries, and reference papers; to know the research topics on which researchers have been working in recent years, and to examine African contribution in the field. The findings showed that the USA, Spain, England, and China are the most productive countries on e-learning. A. Tarhini is the most influential author, and e-Learning researchers host Universities are mainly from the UK, USA, and China. Computers in Human Behavior, Computers & Education, and International Journal of Emerging Technologies in Learning are the most represented journals; Islamic Azad University, Universidade Nova de Lisboa, and King Abdulaziz University are the most influential universities. The analysis shows that the collaboration between authors, universities, and countries working on e-learning is low, and COVID-19 has a significant impact on e-learning. African contribution and research on e-learning and its security are feeble. Bibliometric analysis (dpeaa)DE-He213 Meta-analysis (dpeaa)DE-He213 E-learning (dpeaa)DE-He213 E-learning meta-analysis (dpeaa)DE-He213 E-learning analysis (dpeaa)DE-He213 Dégila, Jules (orcid)0000-0003-4688-9178 aut Bondiombouy, Carlyna (orcid)0000-0003-1546-9488 aut Alhassan, Muhtar Hanif (orcid)0000-0001-5710-1521 aut Enthalten in Journal of computers in education Berlin : Springer, 2014 9(2022), 4 vom: 30. Jan., Seite 727-754 (DE-627)795566786 (DE-600)2783273-9 2197-9995 nnns volume:9 year:2022 number:4 day:30 month:01 pages:727-754 https://dx.doi.org/10.1007/s40692-021-00218-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 9 2022 4 30 01 727-754 |
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10.1007/s40692-021-00218-4 doi (DE-627)SPR048372994 (SPR)s40692-021-00218-4-e DE-627 ger DE-627 rakwb eng Djeki, Essohanam verfasserin (orcid)0000-0001-7301-3919 aut E-learning bibliometric analysis from 2015 to 2020 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Beijing Normal University 2021 Abstract This study aims to comprehensively examine the e-learning research field by conducting a bibliometric analysis of 12,272 publications between 2015 and 2020 from the WoS database. The study aims to highlight collaborations between authors, universities, and countries in the field, to identify the most influential authors, universities, countries, and reference papers; to know the research topics on which researchers have been working in recent years, and to examine African contribution in the field. The findings showed that the USA, Spain, England, and China are the most productive countries on e-learning. A. Tarhini is the most influential author, and e-Learning researchers host Universities are mainly from the UK, USA, and China. Computers in Human Behavior, Computers & Education, and International Journal of Emerging Technologies in Learning are the most represented journals; Islamic Azad University, Universidade Nova de Lisboa, and King Abdulaziz University are the most influential universities. The analysis shows that the collaboration between authors, universities, and countries working on e-learning is low, and COVID-19 has a significant impact on e-learning. African contribution and research on e-learning and its security are feeble. Bibliometric analysis (dpeaa)DE-He213 Meta-analysis (dpeaa)DE-He213 E-learning (dpeaa)DE-He213 E-learning meta-analysis (dpeaa)DE-He213 E-learning analysis (dpeaa)DE-He213 Dégila, Jules (orcid)0000-0003-4688-9178 aut Bondiombouy, Carlyna (orcid)0000-0003-1546-9488 aut Alhassan, Muhtar Hanif (orcid)0000-0001-5710-1521 aut Enthalten in Journal of computers in education Berlin : Springer, 2014 9(2022), 4 vom: 30. Jan., Seite 727-754 (DE-627)795566786 (DE-600)2783273-9 2197-9995 nnns volume:9 year:2022 number:4 day:30 month:01 pages:727-754 https://dx.doi.org/10.1007/s40692-021-00218-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 9 2022 4 30 01 727-754 |
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10.1007/s40692-021-00218-4 doi (DE-627)SPR048372994 (SPR)s40692-021-00218-4-e DE-627 ger DE-627 rakwb eng Djeki, Essohanam verfasserin (orcid)0000-0001-7301-3919 aut E-learning bibliometric analysis from 2015 to 2020 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Beijing Normal University 2021 Abstract This study aims to comprehensively examine the e-learning research field by conducting a bibliometric analysis of 12,272 publications between 2015 and 2020 from the WoS database. The study aims to highlight collaborations between authors, universities, and countries in the field, to identify the most influential authors, universities, countries, and reference papers; to know the research topics on which researchers have been working in recent years, and to examine African contribution in the field. The findings showed that the USA, Spain, England, and China are the most productive countries on e-learning. A. Tarhini is the most influential author, and e-Learning researchers host Universities are mainly from the UK, USA, and China. Computers in Human Behavior, Computers & Education, and International Journal of Emerging Technologies in Learning are the most represented journals; Islamic Azad University, Universidade Nova de Lisboa, and King Abdulaziz University are the most influential universities. The analysis shows that the collaboration between authors, universities, and countries working on e-learning is low, and COVID-19 has a significant impact on e-learning. African contribution and research on e-learning and its security are feeble. Bibliometric analysis (dpeaa)DE-He213 Meta-analysis (dpeaa)DE-He213 E-learning (dpeaa)DE-He213 E-learning meta-analysis (dpeaa)DE-He213 E-learning analysis (dpeaa)DE-He213 Dégila, Jules (orcid)0000-0003-4688-9178 aut Bondiombouy, Carlyna (orcid)0000-0003-1546-9488 aut Alhassan, Muhtar Hanif (orcid)0000-0001-5710-1521 aut Enthalten in Journal of computers in education Berlin : Springer, 2014 9(2022), 4 vom: 30. Jan., Seite 727-754 (DE-627)795566786 (DE-600)2783273-9 2197-9995 nnns volume:9 year:2022 number:4 day:30 month:01 pages:727-754 https://dx.doi.org/10.1007/s40692-021-00218-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 9 2022 4 30 01 727-754 |
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10.1007/s40692-021-00218-4 doi (DE-627)SPR048372994 (SPR)s40692-021-00218-4-e DE-627 ger DE-627 rakwb eng Djeki, Essohanam verfasserin (orcid)0000-0001-7301-3919 aut E-learning bibliometric analysis from 2015 to 2020 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Beijing Normal University 2021 Abstract This study aims to comprehensively examine the e-learning research field by conducting a bibliometric analysis of 12,272 publications between 2015 and 2020 from the WoS database. The study aims to highlight collaborations between authors, universities, and countries in the field, to identify the most influential authors, universities, countries, and reference papers; to know the research topics on which researchers have been working in recent years, and to examine African contribution in the field. The findings showed that the USA, Spain, England, and China are the most productive countries on e-learning. A. Tarhini is the most influential author, and e-Learning researchers host Universities are mainly from the UK, USA, and China. Computers in Human Behavior, Computers & Education, and International Journal of Emerging Technologies in Learning are the most represented journals; Islamic Azad University, Universidade Nova de Lisboa, and King Abdulaziz University are the most influential universities. The analysis shows that the collaboration between authors, universities, and countries working on e-learning is low, and COVID-19 has a significant impact on e-learning. African contribution and research on e-learning and its security are feeble. Bibliometric analysis (dpeaa)DE-He213 Meta-analysis (dpeaa)DE-He213 E-learning (dpeaa)DE-He213 E-learning meta-analysis (dpeaa)DE-He213 E-learning analysis (dpeaa)DE-He213 Dégila, Jules (orcid)0000-0003-4688-9178 aut Bondiombouy, Carlyna (orcid)0000-0003-1546-9488 aut Alhassan, Muhtar Hanif (orcid)0000-0001-5710-1521 aut Enthalten in Journal of computers in education Berlin : Springer, 2014 9(2022), 4 vom: 30. Jan., Seite 727-754 (DE-627)795566786 (DE-600)2783273-9 2197-9995 nnns volume:9 year:2022 number:4 day:30 month:01 pages:727-754 https://dx.doi.org/10.1007/s40692-021-00218-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 9 2022 4 30 01 727-754 |
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10.1007/s40692-021-00218-4 doi (DE-627)SPR048372994 (SPR)s40692-021-00218-4-e DE-627 ger DE-627 rakwb eng Djeki, Essohanam verfasserin (orcid)0000-0001-7301-3919 aut E-learning bibliometric analysis from 2015 to 2020 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Beijing Normal University 2021 Abstract This study aims to comprehensively examine the e-learning research field by conducting a bibliometric analysis of 12,272 publications between 2015 and 2020 from the WoS database. The study aims to highlight collaborations between authors, universities, and countries in the field, to identify the most influential authors, universities, countries, and reference papers; to know the research topics on which researchers have been working in recent years, and to examine African contribution in the field. The findings showed that the USA, Spain, England, and China are the most productive countries on e-learning. A. Tarhini is the most influential author, and e-Learning researchers host Universities are mainly from the UK, USA, and China. Computers in Human Behavior, Computers & Education, and International Journal of Emerging Technologies in Learning are the most represented journals; Islamic Azad University, Universidade Nova de Lisboa, and King Abdulaziz University are the most influential universities. The analysis shows that the collaboration between authors, universities, and countries working on e-learning is low, and COVID-19 has a significant impact on e-learning. African contribution and research on e-learning and its security are feeble. Bibliometric analysis (dpeaa)DE-He213 Meta-analysis (dpeaa)DE-He213 E-learning (dpeaa)DE-He213 E-learning meta-analysis (dpeaa)DE-He213 E-learning analysis (dpeaa)DE-He213 Dégila, Jules (orcid)0000-0003-4688-9178 aut Bondiombouy, Carlyna (orcid)0000-0003-1546-9488 aut Alhassan, Muhtar Hanif (orcid)0000-0001-5710-1521 aut Enthalten in Journal of computers in education Berlin : Springer, 2014 9(2022), 4 vom: 30. Jan., Seite 727-754 (DE-627)795566786 (DE-600)2783273-9 2197-9995 nnns volume:9 year:2022 number:4 day:30 month:01 pages:727-754 https://dx.doi.org/10.1007/s40692-021-00218-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 9 2022 4 30 01 727-754 |
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The study aims to highlight collaborations between authors, universities, and countries in the field, to identify the most influential authors, universities, countries, and reference papers; to know the research topics on which researchers have been working in recent years, and to examine African contribution in the field. The findings showed that the USA, Spain, England, and China are the most productive countries on e-learning. A. Tarhini is the most influential author, and e-Learning researchers host Universities are mainly from the UK, USA, and China. Computers in Human Behavior, Computers & Education, and International Journal of Emerging Technologies in Learning are the most represented journals; Islamic Azad University, Universidade Nova de Lisboa, and King Abdulaziz University are the most influential universities. 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Djeki, Essohanam |
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E-learning bibliometric analysis from 2015 to 2020 Bibliometric analysis (dpeaa)DE-He213 Meta-analysis (dpeaa)DE-He213 E-learning (dpeaa)DE-He213 E-learning meta-analysis (dpeaa)DE-He213 E-learning analysis (dpeaa)DE-He213 |
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E-learning bibliometric analysis from 2015 to 2020 |
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e-learning bibliometric analysis from 2015 to 2020 |
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E-learning bibliometric analysis from 2015 to 2020 |
| abstract |
Abstract This study aims to comprehensively examine the e-learning research field by conducting a bibliometric analysis of 12,272 publications between 2015 and 2020 from the WoS database. The study aims to highlight collaborations between authors, universities, and countries in the field, to identify the most influential authors, universities, countries, and reference papers; to know the research topics on which researchers have been working in recent years, and to examine African contribution in the field. The findings showed that the USA, Spain, England, and China are the most productive countries on e-learning. A. Tarhini is the most influential author, and e-Learning researchers host Universities are mainly from the UK, USA, and China. Computers in Human Behavior, Computers & Education, and International Journal of Emerging Technologies in Learning are the most represented journals; Islamic Azad University, Universidade Nova de Lisboa, and King Abdulaziz University are the most influential universities. The analysis shows that the collaboration between authors, universities, and countries working on e-learning is low, and COVID-19 has a significant impact on e-learning. African contribution and research on e-learning and its security are feeble. © Beijing Normal University 2021 |
| abstractGer |
Abstract This study aims to comprehensively examine the e-learning research field by conducting a bibliometric analysis of 12,272 publications between 2015 and 2020 from the WoS database. The study aims to highlight collaborations between authors, universities, and countries in the field, to identify the most influential authors, universities, countries, and reference papers; to know the research topics on which researchers have been working in recent years, and to examine African contribution in the field. The findings showed that the USA, Spain, England, and China are the most productive countries on e-learning. A. Tarhini is the most influential author, and e-Learning researchers host Universities are mainly from the UK, USA, and China. Computers in Human Behavior, Computers & Education, and International Journal of Emerging Technologies in Learning are the most represented journals; Islamic Azad University, Universidade Nova de Lisboa, and King Abdulaziz University are the most influential universities. The analysis shows that the collaboration between authors, universities, and countries working on e-learning is low, and COVID-19 has a significant impact on e-learning. African contribution and research on e-learning and its security are feeble. © Beijing Normal University 2021 |
| abstract_unstemmed |
Abstract This study aims to comprehensively examine the e-learning research field by conducting a bibliometric analysis of 12,272 publications between 2015 and 2020 from the WoS database. The study aims to highlight collaborations between authors, universities, and countries in the field, to identify the most influential authors, universities, countries, and reference papers; to know the research topics on which researchers have been working in recent years, and to examine African contribution in the field. The findings showed that the USA, Spain, England, and China are the most productive countries on e-learning. A. Tarhini is the most influential author, and e-Learning researchers host Universities are mainly from the UK, USA, and China. Computers in Human Behavior, Computers & Education, and International Journal of Emerging Technologies in Learning are the most represented journals; Islamic Azad University, Universidade Nova de Lisboa, and King Abdulaziz University are the most influential universities. The analysis shows that the collaboration between authors, universities, and countries working on e-learning is low, and COVID-19 has a significant impact on e-learning. African contribution and research on e-learning and its security are feeble. © Beijing Normal University 2021 |
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| title_short |
E-learning bibliometric analysis from 2015 to 2020 |
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https://dx.doi.org/10.1007/s40692-021-00218-4 |
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true |
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Dégila, Jules Bondiombouy, Carlyna Alhassan, Muhtar Hanif |
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Dégila, Jules Bondiombouy, Carlyna Alhassan, Muhtar Hanif |
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| doi_str |
10.1007/s40692-021-00218-4 |
| up_date |
2024-07-03T18:47:14.162Z |
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| score |
7.398386 |