Tanima Chatterjee
Impact in
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- Topological and Geometric Data Analysis
- Complexity and Algorithms in Graphs
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- Data Visualization and Analytics
- Digital Image Processing Techniques
Papers in
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- Privacy-Preserving Technologies in Data 1
- Cryptography and Data Security 1
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- Complexity and Algorithms in Graphs 1
- Co-authors
- Bhaskar DasGupta (4 shared papers)Réka Albert (2 shared papers)Ismael G. Yero (1 shared paper)Samir Kumar Bandyopadhyay (1 shared paper)Anastasios Sidiropoulos (1 shared paper)
- Journals
- Current Science (1 paper)Journal of Combinatorial Optimization (1 paper)Theoretical Computer Science (1 paper)Scientific Reports (1 paper)Springer optimization and its applications (1 paper)
- Partner nations
- United StatesIndiaSpain
In The Last Decade
Tanima Chatterjee
5 papers receiving 21 citations
Peers
Comparison fields: 5 of 20
- Computational Theory and Mathematics 10
- Computer Vision and Pattern Recognition 5
- Statistical and Nonlinear Physics 3
- Cognitive Neuroscience 4
- Cell Biology 2
Countries citing papers authored by Tanima Chatterjee
This map shows the geographic impact of Tanima Chatterjee'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 Tanima Chatterjee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tanima Chatterjee more than expected).
Fields of papers citing papers by Tanima Chatterjee
This network shows the impact of papers produced by Tanima Chatterjee. 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 Tanima Chatterjee. The network helps show where Tanima Chatterjee may publish in the future.
Co-authors
The 5 scholars most cited alongside Tanima Chatterjee, 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 | 2021 | 10 | |
| 2 | 2018 | 5 | |
| 3 | 2018 | 3 | |
| 4 | 2020 | 2 | |
| 5 | 2020 | 1 |
About Tanima Chatterjee
Tanima Chatterjee is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Political Science and International Relations, Social Psychology and Mathematical Physics, having authored 5 papers that have together received 21 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (1 paper), Complexity and Algorithms in Graphs (1 paper), Game Theory and Voting Systems (1 paper), Cryptography and Data Security (1 paper), Electoral Systems and Political Participation (1 paper), Mental Health Research Topics (1 paper), Deception detection and forensic psychology (1 paper) and Functional Brain Connectivity Studies (1 paper). The work is most often cited by research in Computational Theory and Mathematics (10 citations), Computer Vision and Pattern Recognition (5 citations), Statistical and Nonlinear Physics (3 citations), Cognitive Neuroscience (4 citations) and Cell Biology (2 citations). Tanima Chatterjee has collaborated with scholars based in United States, India and Spain. Frequent co-authors include Bhaskar DasGupta, Réka Albert, Ismael G. Yero, Samir Kumar Bandyopadhyay and Anastasios Sidiropoulos. Their work appears in journals such as Current Science, Journal of Combinatorial Optimization, Theoretical Computer Science, Scientific Reports and Springer optimization and its applications.
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.