Vive Kumar

72 papers receiving 664 citations

Peers

Vive Kumar
Comparison fields: 5 of 89
  • Computer Science Applications 271
  • Health Informatics 23
  • Developmental and Educational Psychology 185
  • Information Systems 155
  • Artificial Intelligence 219
Replace Cristian Cechinel with:
Cristian Cechinel Brazil
Rafael Ferreira Mello Brazil
Brendan Flanagan Japan
Christos Pierrakeas Greece
Renzhe Yu United States
Linda Galligan Australia
Abdülkadir Karadeniz Türkiye
Ioana Jivet Germany
Elijah Mayfield United States
Antonio García‐Cabot Spain
Vive Kumar relative to Cristian Cechinel Brazil Cristian Cechinel's profile →
Citations per field
00.5×2.8×
Cristian Cechinel · 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 80 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 **
200678
2 202070
3 202053
4 201449
5 200734
6 202129
7 202126
8 200526
9 200520
10 201618
11 200118
12 201316
13 201814
14 201414
15
Effectiveness of a Learner-Directed Model for e-Learning.
201613
16 201713
17 201412
18 202210
19 201610
20 201110

About Vive Kumar

Vive Kumar is a scholar working on Computer Science Applications, Developmental and Educational Psychology, Artificial Intelligence, Health Informatics and Information Systems and Management, having authored 80 papers that have together received 718 indexed citations. Recurring topics across this work include Online Learning and Analytics (27 papers), Innovative Teaching and Learning Methods (18 papers), Intelligent Tutoring Systems and Adaptive Learning (16 papers), Online and Blended Learning (8 papers), Cloud Computing and Resource Management (5 papers), Topic Modeling (5 papers), IoT and Edge/Fog Computing (4 papers) and Teaching and Learning Programming (4 papers). The work is most often cited by research in Computer Science Applications (271 citations), Health Informatics (23 citations), Developmental and Educational Psychology (185 citations), Information Systems (155 citations) and Artificial Intelligence (219 citations). Vive Kumar has collaborated with scholars based in Canada, India and United States. Frequent co-authors include David Boulanger, Kinshuk Kinshuk, Kannan Govindarajan, Philip H. Winne, Allyson F. Hadwin, John C. Nesbit, Thamarai Selvi Somasundaram, Susanne P. Lajoie, Nancy E. Perry and Roger Azevedo. Their work appears in journals such as International Journal of Artificial Intelligence in Education, Smart Learning Environments, The Lancet Regional Health - Americas, IEEE Access and BMC Public Health.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026