Devika Sangwan
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
- Computer Science Applications top 10%
- Online Learning and Analytics
Papers in
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- Engineering Education and Curriculum Development 3
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- Technology Assessment and Management 2
- Co-authors
- Vinay Chamola (2 shared papers)Siva Sai (1 shared paper)Christoph A. Herrmann (1 shared paper)Vikas Hassija (1 shared paper)Mritunjay Shall Peelam (1 shared paper)Mufti Mahmud (1 shared paper)Anushka Singh (1 shared paper)Victor Hugo C. de Albuquerque (1 shared paper)
- Journals
- IEEE Access (1 paper)Defence Studies (1 paper)Quarterly Review of Film and Video (1 paper)Computer Applications in Engineering Education (1 paper)Procedia Manufacturing (1 paper)
- Partner nations
- IndiaGermanyUnited Kingdom
In The Last Decade
Devika Sangwan
7 papers receiving 178 citations
Devika Sangwan's Hit Papers
Peers
Comparison fields: 5 of 48
- Health Informatics 17
- Computer Science Applications 37
- Safety Research 15
- Artificial Intelligence 52
- Information Systems 32
Countries citing papers authored by Devika Sangwan
This map shows the geographic impact of Devika Sangwan'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 Devika Sangwan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Devika Sangwan more than expected).
Fields of papers citing papers by Devika Sangwan
This network shows the impact of papers produced by Devika Sangwan. 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 Devika Sangwan. The network helps show where Devika Sangwan may publish in the future.
Co-authors
The 11 scholars most cited alongside Devika Sangwan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | A Comprehensive Review on Generative AI for Education Hit paper breakdown → | 2024 | 158 |
| 2 | 2020 | 18 | |
| 3 | 2025 | 14 | |
| 4 | 2022 | 2 | |
| 5 | 2021 | 2 | |
| 6 | 2022 | 1 | |
| 7 | 2022 | 1 | |
| 8 | 2025 | 0 | |
| 9 | 2026 | 0 | |
| 10 | 2022 | 0 |
About Devika Sangwan
Devika Sangwan is a scholar working on Media Technology, Safety, Risk, Reliability and Quality, Education, Biomedical Engineering and Computer Science Applications, having authored 10 papers that have together received 196 indexed citations. Recurring topics across this work include Biomedical and Engineering Education (4 papers), Engineering Education and Curriculum Development (3 papers), Technology Assessment and Management (2 papers), Digital Transformation in Industry (1 paper), Online Learning and Analytics (1 paper), Indigenous and Place-Based Education (1 paper), Education and Learning Interventions (1 paper) and Sustainability in Higher Education (1 paper). The work is most often cited by research in Health Informatics (17 citations), Computer Science Applications (37 citations), Safety Research (15 citations), Artificial Intelligence (52 citations) and Information Systems (32 citations). Devika Sangwan has collaborated with scholars based in India, Germany and United Kingdom. Frequent co-authors include Vinay Chamola, Siva Sai, Christoph A. Herrmann, Vikas Hassija, Mritunjay Shall Peelam, Mufti Mahmud, Anushka Singh, Victor Hugo C. de Albuquerque, David Joseph Brown and Kuldip Singh Sangwan. Their work appears in journals such as IEEE Access, Defence Studies, Quarterly Review of Film and Video, Computer Applications in Engineering Education and Procedia Manufacturing.
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.