Sanmitra Bhattacharya
- Sociology and Political Science
- Artificial Intelligence top 10%
- Communication top 10%
- Health top 10%
- Molecular Biology
- Co-authors
- Padmini SrinivasanPhilip M. PolgreenMichael CantorChao YangJerry SulsLuca ToldoPeter A. BelingDan Olson
- Topics
- Biomedical Text Mining and Ontologies (5 papers)Topic Modeling (5 papers)Misinformation and Its Impacts (3 papers)
- Partner nations
- United StatesIndia
In The Last Decade
Sanmitra Bhattacharya
19 papers receiving 238 citations
Peers
Comparison fields: 5 of 67
- Sociology and Political Science 114
- Artificial Intelligence 92
- Communication 67
- Health 52
- Molecular Biology 47
Countries citing papers authored by Sanmitra Bhattacharya
This map shows the geographic impact of Sanmitra Bhattacharya'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 Sanmitra Bhattacharya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sanmitra Bhattacharya more than expected).
Fields of papers citing papers by Sanmitra Bhattacharya
This network shows the impact of papers produced by Sanmitra Bhattacharya. 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 Sanmitra Bhattacharya. The network helps show where Sanmitra Bhattacharya may publish in the future.
Co-authorship network of co-authors of Sanmitra Bhattacharya
This figure shows the co-authorship network connecting the top 25 collaborators of Sanmitra Bhattacharya. A scholar is included among the top collaborators of Sanmitra Bhattacharya 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 Sanmitra Bhattacharya. Sanmitra Bhattacharya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 8 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 10 | |
| 9 | 55 | |
| 10 | 20 | |
| 11 | The University of Iowa at CLEF 2014: eHealth Task 3 | 1 |
| 12 | 57 | |
| 13 | 23 | |
| 14 | Discovering Health Beliefs in Twitter. | 5 |
| 15 | Lexical and Machine Learning approaches toward Online Reputation Management | 7 |
| 16 | Question Answering for Alzheimer Disease Using Information Retrieval. | 2 |
| 17 | 17 | |
| 18 | 2 | |
| 19 | The university of iowa at TREC 2011: Microblogs, medical records and crowdsourcing | 2 |
| 20 | 32 |
About Sanmitra Bhattacharya
Sanmitra Bhattacharya is a scholar working on Artificial Intelligence, Communication and Health Information Management, having authored 20 papers that have together received 252 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (5 papers), Topic Modeling (5 papers) and Misinformation and Its Impacts (3 papers). The work is most often cited by research in Communication (67 citations), Health (52 citations) and Artificial Intelligence (92 citations). Sanmitra Bhattacharya has collaborated with scholars based in United States and India. Frequent co-authors include Padmini Srinivasan, Philip M. Polgreen, Michael Cantor, Chao Yang, Jerry Suls, Luca Toldo, Peter A. Beling, Dan Olson, Abdul Rahman and Róbert Schiller. Their work appears in journals such as Bioinformatics, 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.