Raghu Raman
- Information Systems top 2%
- Education top 2%
- Artificial Intelligence top 5%
- Sociology and Political Science top 5%
- Computer Science Applications top 1%
- Co-authors
- Prema NedungadiKrishnashree AchuthanVinith Kumar NairM. SureshDebidutta PattnaikGeorg GutjahrShyam DiwakarAnand Patwardhan
- Topics
- Artificial Intelligence in Healthcare and Education (17 papers)Experimental Learning in Engineering (15 papers)Online and Blended Learning (13 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
- Partner nations
- IndiaUnited StatesAustralia
In The Last Decade
Raghu Raman
151 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 154
- Information Systems 446
- Education 412
- Artificial Intelligence 301
- Sociology and Political Science 273
- Computer Science Applications 254
Countries citing papers authored by Raghu Raman
This map shows the geographic impact of Raghu Raman'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 Raghu Raman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raghu Raman more than expected).
Fields of papers citing papers by Raghu Raman
This network shows the impact of papers produced by Raghu Raman. 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 Raghu Raman. The network helps show where Raghu Raman may publish in the future.
Co-authorship network of co-authors of Raghu Raman
This figure shows the co-authorship network connecting the top 25 collaborators of Raghu Raman. A scholar is included among the top collaborators of Raghu Raman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Raghu Raman. Raghu Raman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 52 | |
| 7 | 8 | |
| 8 | Green and sustainable AI research: an integrated thematic and topic modeling analysisbreakdown → | 45 |
| 9 | Exploring University Students’ Adoption of ChatGPT Using the Diffusion of Innovation Theory and Sentiment Analysis With Gender Dimensionbreakdown → | 44 |
| 10 | 2 | |
| 11 | 23 | |
| 12 | 17 | |
| 13 | 12 | |
| 14 | 4 | |
| 15 | 27 | |
| 16 | 1 | |
| 17 | 14 | |
| 18 | 0 | |
| 19 | 19 | |
| 20 | PROBLEMS AND CHALLENGES OF LEARNING THROUGH A SECOND LANGUAGE: THE CASE OF TEACHING OF SCIENCE AND MATHEMATICS IN ENGLISH IN THE MALAYSIAN PRIMARY SCHOOLS | 13 |
About Raghu Raman
Raghu Raman is a scholar working on Health Informatics, Computer Science Applications and Business and International Management, having authored 166 papers that have together received 2.5k indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (17 papers), Experimental Learning in Engineering (15 papers) and Online and Blended Learning (13 papers). The work is most often cited by research in Health Informatics (136 citations), Computer Science Applications (254 citations) and Business and International Management (76 citations). Raghu Raman has collaborated with scholars based in India, United States and Australia. Frequent co-authors include Prema Nedungadi, Krishnashree Achuthan, Vinith Kumar Nair, M. Suresh, Debidutta Pattnaik, Georg Gutjahr, Shyam Diwakar, Anand Patwardhan, Chandan Kumar and Sasangan Ramanathan. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.