Shaikat Mondal
- Health Informatics top 0.2%
- Artificial Intelligence top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Public Health, Environmental and Occupational Health
- General Health Professions
- Co-authors
- Himel MondalIndrashis PodderJana UhlinovaTuhin Kanti BiswasSubhasri BiswasPartha DebnathKoushik SahaTotan Ghosh
- Topics
- Artificial Intelligence in Healthcare and Education (22 papers)Innovations in Medical Education (11 papers)scientometrics and bibliometrics research (10 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Diabetes Science and TechnologyAndrologia
- Partner nations
- IndiaUnited StatesNepal
In The Last Decade
Shaikat Mondal
108 papers receiving 723 citations
Peers
Comparison fields: 5 of 148
- Health Informatics 288
- Artificial Intelligence 143
- Radiology, Nuclear Medicine and Imaging 126
- Public Health, Environmental and Occupational Health 91
- General Health Professions 83
Countries citing papers authored by Shaikat Mondal
This map shows the geographic impact of Shaikat Mondal'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 Shaikat Mondal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaikat Mondal more than expected).
Fields of papers citing papers by Shaikat Mondal
This network shows the impact of papers produced by Shaikat Mondal. 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 Shaikat Mondal. The network helps show where Shaikat Mondal may publish in the future.
Co-authorship network of co-authors of Shaikat Mondal
This figure shows the co-authorship network connecting the top 25 collaborators of Shaikat Mondal. A scholar is included among the top collaborators of Shaikat Mondal 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 Shaikat Mondal. Shaikat Mondal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 7 | |
| 5 | 2 | |
| 6 | 24 | |
| 7 | 20 | |
| 8 | 2 | |
| 9 | 6 | |
| 10 | 2 | |
| 11 | 1 | |
| 12 | 2 | |
| 13 | 1 | |
| 14 | 5 | |
| 15 | 7 | |
| 16 | 0 | |
| 17 | 2 | |
| 18 | 1 | |
| 19 | 0 | |
| 20 | 2 |
About Shaikat Mondal
Shaikat Mondal is a scholar working on Health Informatics, History and Philosophy of Science and Statistics, Probability and Uncertainty, having authored 133 papers that have together received 757 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (22 papers), Innovations in Medical Education (11 papers) and scientometrics and bibliometrics research (10 papers). The work is most often cited by research in Health Informatics (288 citations), Family Practice (37 citations) and Computer Science Applications (38 citations). Shaikat Mondal has collaborated with scholars based in India, United States and Nepal. Frequent co-authors include Himel Mondal, Indrashis Podder, Jana Uhlinova, Tuhin Kanti Biswas, Subhasri Biswas, Partha Debnath, Koushik Saha, Totan Ghosh, Rajib Dutta and Subhajit Saha. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Diabetes Science and Technology and Andrologia.
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.