Viraj Kumar
Impact in
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- Teaching and Learning Programming
- Online Learning and Analytics
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
Papers in
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- Teaching and Learning Programming 17
- Online Learning and Analytics 9
- Open Education and E-Learning 3
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- Software Engineering Research 11
- Co-authors
- Paul Denny (2 shared papers)Nasser Giacaman (1 shared paper)P. Madhusudan (2 shared papers)Mahesh Viswanathan (1 shared paper)Arun Raman (3 shared papers)William Thies (2 shared papers)Andrew Cross (2 shared papers)Edward Cutrell (2 shared papers)
- Journals
- Journal of the Society of Architectural Historians (1 paper)Current Science (1 paper)IEEE Sensors Letters (1 paper)Resonance (1 paper)Aaltodoc (Aalto University) (1 paper)
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Viraj Kumar
40 papers receiving 387 citations
Viraj Kumar's Hit Papers
Peers
Comparison fields: 5 of 58
- Computer Science Applications 201
- Health Informatics 40
- Software 60
- Information Systems 116
- Artificial Intelligence 141
Countries citing papers authored by Viraj Kumar
This map shows the geographic impact of Viraj 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 Viraj Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Viraj Kumar more than expected).
Fields of papers citing papers by Viraj Kumar
This network shows the impact of papers produced by Viraj 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 Viraj Kumar. The network helps show where Viraj Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Viraj 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Conversing with Copilot: Exploring Prompt Engineering for Solving CS1 Problems Using Natural Language Hit paper breakdown → | 2023 | 165 |
| 2 | 2022 | 26 | |
| 3 | 2007 | 26 | |
| 4 | 2015 | 25 | |
| 5 | 2023 | 17 | |
| 6 | 2020 | 16 | |
| 7 | 2014 | 11 | |
| 8 | 2022 | 9 | |
| 9 | 2021 | 6 | |
| 10 | 2023 | 6 | |
| 11 | 2015 | 6 | |
| 12 | 2017 | 6 | |
| 13 | 2014 | 6 | |
| 14 | 2014 | 6 | |
| 15 | 2019 | 6 | |
| 16 | 2014 | 5 | |
| 17 | 2023 | 5 | |
| 18 | 2020 | 5 | |
| 19 | 2018 | 4 | |
| 20 | 2019 | 4 |
About Viraj Kumar
Viraj Kumar is a scholar working on Computer Science Applications, Information Systems, Artificial Intelligence, Software and Education, having authored 45 papers that have together received 397 indexed citations. Recurring topics across this work include Teaching and Learning Programming (17 papers), Software Testing and Debugging Techniques (13 papers), Software Engineering Research (11 papers), Online Learning and Analytics (9 papers), Logic, programming, and type systems (3 papers), Open Education and E-Learning (3 papers), Topic Modeling (3 papers) and Academic integrity and plagiarism (2 papers). The work is most often cited by research in Computer Science Applications (201 citations), Health Informatics (40 citations), Software (60 citations), Information Systems (116 citations) and Artificial Intelligence (141 citations). Viraj Kumar has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Paul Denny, Nasser Giacaman, P. Madhusudan, Mahesh Viswanathan, Arun Raman, William Thies, Andrew Cross, Edward Cutrell, Brett A. Becker and Jacki O’Neill. Their work appears in journals such as Journal of the Society of Architectural Historians, Current Science, IEEE Sensors Letters, Resonance and Aaltodoc (Aalto University).
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.