Deepak Kumar
Impact in
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- Teaching and Learning Programming
- Artificial Intelligence top 5%
- Educational Robotics and Engineering
- Reinforcement Learning in Robotics
- Evolutionary Algorithms and Applications
Papers in
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- Teaching and Learning Programming 15
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- History of Science and Natural History 8
- Co-authors
- Lisa Meeden (13 shared papers)Douglas Blank (19 shared papers)Holly A. Yanco (5 shared papers)Pradeep Kumar Choudhury (3 shared papers)Keith J. O’Hara (4 shared papers)Tucker R. Balch (4 shared papers)Jay W. Summet (3 shared papers)Ira J. Greenberg (4 shared papers)
- Journals
- Science Technology and Society (2 papers)International Journal of Educational Development (2 papers)Journal of School Choice (1 paper)Osiris (1 paper)IEEE Pervasive Computing (1 paper)
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Deepak Kumar
76 papers receiving 901 citations
Peers
Comparison fields: 5 of 57
- Computer Science Applications 263
- Artificial Intelligence 214
- History and Philosophy of Science 19
- Safety Research 21
- Education 62
Countries citing papers authored by Deepak Kumar
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
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.
All Works
Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 107 | |
| 2 | 2009 | 67 | |
| 3 | 2003 | 61 | |
| 4 | 2008 | 56 | |
| 5 | 2009 | 54 | |
| 6 | 2005 | 46 | |
| 7 | 2003 | 41 | |
| 8 | 2006 | 37 | |
| 9 | 2012 | 36 | |
| 10 | 2016 | 36 | |
| 11 | 2014 | 34 | |
| 12 | 2020 | 32 | |
| 13 | 2003 | 30 | |
| 14 | 2006 | 29 | |
| 15 | 2021 | 28 | |
| 16 | 2008 | 25 | |
| 17 | 1998 | 24 | |
| 18 | 2009 | 24 | |
| 19 | Engaging Computing Students with AI and Robotics. | 2008 | 15 |
| 20 | Medical Encounters in British India | 2013 | 15 |
About Deepak Kumar
Deepak Kumar is a scholar working on Computer Science Applications, History and Philosophy of Science, Artificial Intelligence, Safety Research and History, having authored 88 papers that have together received 1.0k indexed citations. Recurring topics across this work include Teaching and Learning Programming (15 papers), Educational Robotics and Engineering (10 papers), History of Science and Natural History (8 papers), History of Medicine and Tropical Health (3 papers), Information Systems Education and Curriculum Development (2 papers), School Choice and Performance (2 papers), Artificial Intelligence in Education (2 papers) and South Asian Studies and Diaspora (2 papers). The work is most often cited by research in Computer Science Applications (263 citations), Artificial Intelligence (214 citations), History and Philosophy of Science (19 citations), Safety Research (21 citations) and Education (62 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, Keith J. O’Hara, Tucker R. Balch, Jay W. Summet, Ira J. Greenberg, Lijun Ni and James B. Marshall. Their work appears in journals such as Science Technology and Society, International Journal of Educational Development, Journal of School Choice, Osiris and IEEE Pervasive Computing.
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.