Rohit Kumar

788 citations
32 papers · 600 · h-index 14

Impact in

Papers in

Rohit Kumar

30 papers receiving 561 citations

Peers

Rohit Kumar
Comparison fields: 5 of 78
  • Developmental and Educational Psychology 196
  • Computer Science Applications 65
  • Experimental and Cognitive Psychology 116
  • Artificial Intelligence 255
  • General Decision Sciences 13
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Javier Lerch United States
Azzah Al‐Maskari United Kingdom
Muh-Cherng Wu Taiwan
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David A. Bradbard United States
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Citations per field
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Citations per year

Countries citing papers authored by Rohit Kumar

Since Specialization
Citations

This map shows the geographic impact of Rohit 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 Rohit Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rohit Kumar more than expected).

Fields of papers citing papers by Rohit Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rohit 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 Rohit Kumar. The network helps show where Rohit Kumar may publish in the future.

Co-authors

The 25 scholars most cited alongside Rohit 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 Rohit Kumar Line = papers co-authored together Rohit Kumar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Tutorial Dialogue as Adaptive Collaborative Learning Support
2007110
2
Ensemble of SVM trees for multimodal emotion recognition
201277
3 202058
4 201853
5 201245
6 201036
7
New challenges in CSCL: towards adaptive script support
200830
8 200723
9 201923
10
Conversational Strategies that Support Idea Generation Productivity in Groups.
201119
11 201319
12 200817
13 201316
14 201814
15 201511
16 202310
17 20096
18 20066
19 20095
20 20204

About Rohit Kumar

Rohit Kumar is a scholar working on Developmental and Educational Psychology, Artificial Intelligence, Communication, Experimental and Cognitive Psychology and Marketing, having authored 32 papers that have together received 600 indexed citations. Recurring topics across this work include Innovative Teaching and Learning Methods (13 papers), Knowledge Management and Sharing (4 papers), Speech and dialogue systems (4 papers), Environmental Education and Sustainability (3 papers), Environmental Sustainability in Business (3 papers), Intelligent Tutoring Systems and Adaptive Learning (3 papers), Emotion and Mood Recognition (3 papers) and Technology Adoption and User Behaviour (3 papers). The work is most often cited by research in Developmental and Educational Psychology (196 citations), Computer Science Applications (65 citations), Experimental and Cognitive Psychology (116 citations), Artificial Intelligence (255 citations) and General Decision Sciences (13 citations). Rohit Kumar has collaborated with scholars based in United States, India and United Arab Emirates. Frequent co-authors include Carolyn Penstein Rosé, Rajdeep Kumar Raut, Niladri Das, Mahesh Joshi, Yi‐Chia Wang, Sankaranarayanan Ananthakrishnan, Shirin Saleem, Rohit Prasad, Viktor Rozgić and Allen L. Robinson. Their work appears in journals such as Social Responsibility Journal, Lecture notes in computer science, International Journal of Business Information Systems, Journal of Global Responsibility and Asian Journal of Business and Accounting.

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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