Deepak Kumar

76 papers receiving 878 citations

Peers

Deepak Kumar
Comparison fields: 5 of 105
  • Computer Science Applications 496
  • Architecture 24
  • Developmental and Educational Psychology 174
  • Media Technology 123
  • Software 43
Replace Fabiane Barreto Vavassori Benitti with:
Fabiane Barreto Vavassori Benitti Brazil
Muhsin Menekşe United States
Robbie Berg United States
Michael Eisenberg United States
Ursula Wolz United States
Michael Goldweber United States
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Ruth Anderson United States
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Citations per field
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Citations per year

Countries citing papers authored by Deepak Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Deepak Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 90 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998109
2 200967
3 200364
4 200856
5 200955
6 200344
7 200540
8 201637
9 201434
10 201233
11 200631
12 200329
13 199828
14 202026
15 202125
16 200825
17 200924
18
Medical Encounters in British India
201317
19 200616
20
Engaging Computing Students with AI and Robotics.
200814

About Deepak Kumar

Deepak Kumar is a scholar working on Computer Science Applications, Education, Sociology and Political Science, Information Systems and Artificial Intelligence, having authored 90 papers that have together received 1.0k indexed citations. Recurring topics across this work include Teaching and Learning Programming (28 papers), Poverty, Education, and Child Welfare (8 papers), Educational Games and Gamification (6 papers), Robotics and Automated Systems (6 papers), Experimental Learning in Engineering (5 papers), Modular Robots and Swarm Intelligence (5 papers), Indian History and Philosophy (5 papers) and School Choice and Performance (5 papers). The work is most often cited by research in Computer Science Applications (496 citations), Architecture (24 citations), Developmental and Educational Psychology (174 citations), Media Technology (123 citations) and Software (43 citations). Deepak Kumar has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Lisa Meeden, Douglas Blank, Holly A. Yanco, Pradeep Kumar Choudhury, Tucker Balch, Keith J. O’Hara, Jay Summet, Ira Greenberg, Lijun Ni and James B. Marshall. Their work appears in journals such as Science Technology and Society, International Journal of Educational Development, IEEE Pervasive Computing, Journal of School Choice and Sikh Formations.

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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