Indra Neil Sarkar
- Health Informatics top 2%
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- Electronic Health Records Systems 15
- Ecological Modeling top 5%
- Species Distribution and Climate Change 8
- Genetics top 5%
- Genomics and Rare Diseases 12
- Molecular Biology top 10%
- Biomedical Text Mining and Ontologies 37
- Genomics and Phylogenetic Studies 21
- Bioinformatics and Genomic Networks 14
- Genetics, Bioinformatics, and Biomedical Research 13
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- Machine Learning in Healthcare 8
- Co-authors
- Rob DeSallePaul J. PlanetBernd SchierwaterElizabeth ChenRobert DeSalleHeike HadrysGenevieve B. MeltonMark E. Siddall
- Journals
- Journal of the American Medical Informatics Association (10 papers)Journal of Biomedical Informatics (6 papers)Bioinformatics (5 papers)
- Partner nations
- United StatesEgyptGermany
In The Last Decade
Indra Neil Sarkar
130 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 171
- Health Informatics 53
- Health Information Management 178
- Ecological Modeling 130
- Genetics 536
- Molecular Biology 1.2k
Countries citing papers authored by Indra Neil Sarkar
This map shows the geographic impact of Indra Neil Sarkar'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 Indra Neil Sarkar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Indra Neil Sarkar more than expected).
Fields of papers citing papers by Indra Neil Sarkar
This network shows the impact of papers produced by Indra Neil Sarkar. 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 Indra Neil Sarkar. The network helps show where Indra Neil Sarkar may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Indra Neil Sarkar, 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 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2022 | 2 | |
| 5 | 2022 | 4 | |
| 6 | 2022 | 1 | |
| 7 | 2021 | 8 | |
| 8 | 2021 | 41 | |
| 9 | 2020 | 21 | |
| 10 | 2019 | 3 | |
| 11 | 2018 | 6 | |
| 12 | Representation of Drug Use in Biomedical Standards, Clinical Text, and Research Measures. | 2017 | 6 |
| 13 | 2016 | 24 | |
| 14 | 2015 | 28 | |
| 15 | Methods in biomedical informatics : a pragmatic approach | 2014 | 7 |
| 16 | 2010 | 12 | |
| 17 | LigerCat: using "MeSH Clouds" from journal, article, or gene citations to facilitate the identification of relevant biomedical literature. | 2009 | 24 |
| 18 | 2009 | 4 | |
| 19 | Linking Biomedical Language Information and Knowledge Resources in the 21st Century: GO and UMLS | 2003 | 4 |
| 20 | Knowledge Aggregation from Organized Sets (KAOS) Applied to Clinical Data | 2001 | 1 |
About Indra Neil Sarkar
Indra Neil Sarkar is a scholar working on Health Information Management, Ecological Modeling, Molecular Biology, Genetics and Health Informatics, having authored 135 papers that have together received 2.7k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (37 papers), Genomics and Phylogenetic Studies (21 papers), Electronic Health Records Systems (15 papers), Bioinformatics and Genomic Networks (14 papers), Genetics, Bioinformatics, and Biomedical Research (13 papers), Genomics and Rare Diseases (12 papers), Species Distribution and Climate Change (8 papers) and Machine Learning in Healthcare (8 papers). The work is most often cited by research in Health Informatics (53 citations), Health Information Management (178 citations), Ecological Modeling (130 citations), Genetics (536 citations) and Molecular Biology (1.2k citations). Indra Neil Sarkar has collaborated with scholars based in United States, Egypt and Germany. Frequent co-authors include Rob DeSalle, Paul J. Planet, Bernd Schierwater, Elizabeth Chen, Robert DeSalle, Heike Hadrys, Genevieve B. Melton, Mark E. Siddall, William G. Tharp and David H. Figurski. Their work appears in journals such as Journal of the American Medical Informatics Association, Journal of Biomedical Informatics, Bioinformatics, Methods of Information in Medicine and BMC Bioinformatics.
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.