Ramkumar Rajendran
Impact in
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- Online Learning and Analytics
- E-Learning and Knowledge Management
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- Innovative Teaching and Learning Methods
- Educational Games and Gamification
Papers in
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- Online Learning and Analytics 18
- Teaching and Learning Programming 5
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- Intelligent Tutoring Systems and Adaptive Learning 13
- Co-authors
- Gautam Biswas (7 shared papers)Sahana Murthy (6 shared papers)Sridhar Iyer (3 shared papers)Roger Azevedo (2 shared papers)Michelle Taub (2 shared papers)Elizabeth B. Cloude (1 shared paper)Ashish Garg (3 shared papers)Jaclyn Ocumpaugh (2 shared papers)
- Journals
- IEEE Transactions on Learning Technologies (3 papers)Smart Learning Environments (3 papers)Computers and Education Artificial Intelligence (2 papers)Education and Information Technologies (1 paper)Scientific Data (1 paper)
- Partner nations
- IndiaUnited StatesAustralia
In The Last Decade
Ramkumar Rajendran
32 papers receiving 318 citations
Peers
Comparison fields: 5 of 53
- Computer Science Applications 150
- Developmental and Educational Psychology 141
- Health Informatics 6
- Human-Computer Interaction 24
- Artificial Intelligence 131
Countries citing papers authored by Ramkumar Rajendran
This map shows the geographic impact of Ramkumar Rajendran'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 Ramkumar Rajendran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ramkumar Rajendran more than expected).
Fields of papers citing papers by Ramkumar Rajendran
This network shows the impact of papers produced by Ramkumar Rajendran. 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 Ramkumar Rajendran. The network helps show where Ramkumar Rajendran may publish in the future.
Co-authors
The 25 scholars most cited alongside Ramkumar Rajendran, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 83 | |
| 2 | 2018 | 47 | |
| 3 | 2018 | 30 | |
| 4 | 2018 | 17 | |
| 5 | 2013 | 17 | |
| 6 | 2018 | 16 | |
| 7 | 2020 | 16 | |
| 8 | 2019 | 16 | |
| 9 | 2023 | 14 | |
| 10 | Predicting Learning by Analyzing Eye-Gaze Data of Reading Behavior. | 2018 | 9 |
| 11 | 2024 | 8 | |
| 12 | 2024 | 6 | |
| 13 | Studying the Interactions between Components of Self Regulated Learning in Open Ended Learning Environments. | 2018 | 5 |
| 14 | 2025 | 5 | |
| 15 | 2018 | 5 | |
| 16 | 2022 | 4 | |
| 17 | 2013 | 4 | |
| 18 | 2023 | 3 | |
| 19 | 2024 | 3 | |
| 20 | 2020 | 3 |
About Ramkumar Rajendran
Ramkumar Rajendran is a scholar working on Computer Science Applications, Artificial Intelligence, Developmental and Educational Psychology, Experimental and Cognitive Psychology and Human-Computer Interaction, having authored 44 papers that have together received 332 indexed citations. Recurring topics across this work include Online Learning and Analytics (18 papers), Innovative Teaching and Learning Methods (15 papers), Intelligent Tutoring Systems and Adaptive Learning (13 papers), Teaching and Learning Programming (5 papers), Virtual Reality Applications and Impacts (4 papers), Visual and Cognitive Learning Processes (4 papers), Network Security and Intrusion Detection (2 papers) and Educational and Psychological Assessments (2 papers). The work is most often cited by research in Computer Science Applications (150 citations), Developmental and Educational Psychology (141 citations), Health Informatics (6 citations), Human-Computer Interaction (24 citations) and Artificial Intelligence (131 citations). Ramkumar Rajendran has collaborated with scholars based in India, United States and Australia. Frequent co-authors include Gautam Biswas, Sahana Murthy, Sridhar Iyer, Roger Azevedo, Michelle Taub, Elizabeth B. Cloude, Ashish Garg, Jaclyn Ocumpaugh, Ryan S. Baker and T. S. Ashwin. Their work appears in journals such as IEEE Transactions on Learning Technologies, Smart Learning Environments, Computers and Education Artificial Intelligence, Education and Information Technologies and Scientific Data.
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.