Jyotishman Pathak
- Artificial Intelligence top 0.5%
- Molecular Biology top 5%
- Health Information Management top 0.05%
- Social Psychology top 2%
- Public Health, Environmental and Occupational Health top 2%
- Co-authors
- Christopher G. ChuteLuke V. RasmussenJoshua C. DennyJennifer A. PachecoAmit ShethVasant HonavarZhenxing XuYiye Zhang
- Topics
- Biomedical Text Mining and Ontologies (77 papers)Semantic Web and Ontologies (41 papers)Machine Learning in Healthcare (32 papers)
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
Jyotishman Pathak
223 papers receiving 5.4k citations
Hit Papers
Peers
Comparison fields: 5 of 173
- Artificial Intelligence 1.8k
- Molecular Biology 1.3k
- Health Information Management 905
- Social Psychology 669
- Public Health, Environmental and Occupational Health 625
Countries citing papers authored by Jyotishman Pathak
This map shows the geographic impact of Jyotishman Pathak'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 Jyotishman Pathak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jyotishman Pathak more than expected).
Fields of papers citing papers by Jyotishman Pathak
This network shows the impact of papers produced by Jyotishman Pathak. 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 Jyotishman Pathak. The network helps show where Jyotishman Pathak may publish in the future.
Co-authorship network of co-authors of Jyotishman Pathak
This figure shows the co-authorship network connecting the top 25 collaborators of Jyotishman Pathak. A scholar is included among the top collaborators of Jyotishman Pathak 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 Jyotishman Pathak. Jyotishman Pathak 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 | 12 | |
| 4 | 12 | |
| 5 | 6 | |
| 6 | 10 | |
| 7 | 10 | |
| 8 | 1 | |
| 9 | 10 | |
| 10 | 10 | |
| 11 | 5 | |
| 12 | 14 | |
| 13 | 20 | |
| 14 | 2 | |
| 15 | 34 | |
| 16 | 22 | |
| 17 | Improving risk prediction for depression via Elastic Net regression - Results from Korea National Health Insurance Services Data. | 11 |
| 18 | Evaluation of Existing Phenotype Authoring Tools for Clinical Research. | 1 |
| 19 | PhenotypePortal: An Open-Source Library and Platform for Authoring, Executing and Visualization of Electronic Health Records Driven Phenotyping Algorithms. | 1 |
| 20 | Using Electronic Health Records to Identify Heart Failure Cohorts with Differentiation for Preserved and Reduced Ejection Fraction. | 1 |
About Jyotishman Pathak
Jyotishman Pathak is a scholar working on Health Information Management, Health Informatics and Artificial Intelligence, having authored 232 papers that have together received 5.6k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (77 papers), Semantic Web and Ontologies (41 papers) and Machine Learning in Healthcare (32 papers). The work is most often cited by research in Health Information Management (905 citations), Health Informatics (214 citations) and Applied Psychology (369 citations). Jyotishman Pathak has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Christopher G. Chute, Luke V. Rasmussen, Joshua C. Denny, Jennifer A. Pacheco, Amit Sheth, Vasant Honavar, Zhenxing Xu, Yiye Zhang, Maryam Panahiazar and Krishnaprasad Thirunarayan. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.
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.