Madhvan Bajaj
- Artificial Intelligence
- Computer Networks and Communications
- Health Information Management top 5%
- Radiology, Nuclear Medicine and Imaging
- Information Systems
- Co-authors
- Priyanshu RawatVikrant SharmaSatvik VatsRahul ChauhanTeekam SinghBharat Bhushan SagarChandradeep BhattPrerna Prerna
- Topics
- Artificial Intelligence in Healthcare (5 papers)AI in cancer detection (5 papers)COVID-19 diagnosis using AI (4 papers)
- Journals
- Journal of Information and Optimization Sciences
- Partner nations
- IndiaUnited KingdomUnited States
In The Last Decade
Madhvan Bajaj
18 papers receiving 177 citations
Peers
Comparison fields: 5 of 43
- Artificial Intelligence 66
- Computer Networks and Communications 38
- Health Information Management 30
- Radiology, Nuclear Medicine and Imaging 26
- Information Systems 25
Countries citing papers authored by Madhvan Bajaj
This map shows the geographic impact of Madhvan Bajaj'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 Madhvan Bajaj with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Madhvan Bajaj more than expected).
Fields of papers citing papers by Madhvan Bajaj
This network shows the impact of papers produced by Madhvan Bajaj. 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 Madhvan Bajaj. The network helps show where Madhvan Bajaj may publish in the future.
Co-authorship network of co-authors of Madhvan Bajaj
This figure shows the co-authorship network connecting the top 25 collaborators of Madhvan Bajaj. A scholar is included among the top collaborators of Madhvan Bajaj 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 Madhvan Bajaj. Madhvan Bajaj is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 18 | |
| 2 | 5 | |
| 3 | 7 | |
| 4 | 1 | |
| 5 | 11 | |
| 6 | 13 | |
| 7 | 21 | |
| 8 | 21 | |
| 9 | 17 | |
| 10 | 0 | |
| 11 | 15 | |
| 12 | 1 | |
| 13 | 3 | |
| 14 | 8 | |
| 15 | 4 | |
| 16 | 19 | |
| 17 | 1 | |
| 18 | 14 | |
| 19 | 7 |
About Madhvan Bajaj
Madhvan Bajaj is a scholar working on Health Information Management, Music and Radiology, Nuclear Medicine and Imaging, having authored 19 papers that have together received 186 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (5 papers), AI in cancer detection (5 papers) and COVID-19 diagnosis using AI (4 papers). The work is most often cited by research in Health Information Management (30 citations), Artificial Intelligence (66 citations) and Computer Networks and Communications (38 citations). Madhvan Bajaj has collaborated with scholars based in India, United Kingdom and United States. Frequent co-authors include Priyanshu Rawat, Vikrant Sharma, Satvik Vats, Rahul Chauhan, Teekam Singh, Bharat Bhushan Sagar, Chandradeep Bhatt, Prerna Prerna, Rakesh Kumar and Saket Srivastava. Their work appears in journals such as Journal of Information and Optimization Sciences.
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.