Vive Kumar

1.5k citations
117 papers · 1.1k · h-index 17

Impact in

Papers in

Vive Kumar

106 papers receiving 997 citations

Peers

Vive Kumar
Comparison fields: 5 of 90
  • Computer Science Applications 428
  • Developmental and Educational Psychology 310
  • Health Informatics 26
  • Information Systems 278
  • Artificial Intelligence 352
Replace Rafael Ferreira Mello with:
Rafael Ferreira Mello Brazil
Wolfgang Greller Austria
Davide Taibi Italy
Diego Zapata‐Rivera United States
Chengjiu Yin Japan
Antonio García‐Cabot Spain
Christos Pierrakeas Greece
Cristian Cechinel Brazil
Jane Yin-Kim Yau Germany
Anna Mavroudi Norway
Vive Kumar relative to Rafael Ferreira Mello Brazil Rafael Ferreira Mello's profile →
Citations per field
00.5×20×40×60×89×
Rafael Ferreira Mello · 1×
Citations per year

Countries citing papers authored by Vive Kumar

Since Specialization
Citations

This map shows the geographic impact of Vive Kumar's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Vive Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vive Kumar more than expected).

Fields of papers citing papers by Vive Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vive Kumar. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Vive Kumar. The network helps show where Vive Kumar may publish in the future.

Co-authors

The 25 scholars most cited alongside Vive Kumar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Vive Kumar Line = papers co-authored together Vive Kumar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 117 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Supporting Self-Regulated Learning with gStudy Software: The Learning Kit Project **
200689
2 202084
3 199880
4 202060
5 201455
6 200736
7 199734
8 202130
9 202129
10 201427
11 200527
12 200523
13 201621
14 201420
15 201419
16 201319
17 200117
18 201315
19
Effectiveness of a Learner-Directed Model for e-Learning.
201614
20 201714

About Vive Kumar

Vive Kumar is a scholar working on Computer Science Applications, Artificial Intelligence, Developmental and Educational Psychology, Information Systems and Education, having authored 117 papers that have together received 1.1k indexed citations. Recurring topics across this work include Online Learning and Analytics (43 papers), Innovative Teaching and Learning Methods (28 papers), Intelligent Tutoring Systems and Adaptive Learning (24 papers), Online and Blended Learning (14 papers), Topic Modeling (10 papers), Cloud Computing and Resource Management (7 papers), E-Learning and Knowledge Management (7 papers) and Open Education and E-Learning (6 papers). The work is most often cited by research in Computer Science Applications (428 citations), Developmental and Educational Psychology (310 citations), Health Informatics (26 citations), Information Systems (278 citations) and Artificial Intelligence (352 citations). Vive Kumar has collaborated with scholars based in Canada, India and United States. Frequent co-authors include David Boulanger, Kinshuk Kinshuk, Kannan Govindarajan, Allyson F. Hadwin, John C. Nesbit, Thamarai Selvi Somasundaram, Jim Greer, Philip H. Winne, Jason A. Collins and Susanne P. Lajoie. Their work appears in journals such as Lecture notes in educational technology, Annales Geophysicae, The Lancet Regional Health - Americas, Smart Learning Environments and IEEE Access.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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