Bidisha Samanta
Impact in
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- Computational Drug Discovery Methods
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- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
Papers in
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- Topic Modeling 11
- Natural Language Processing Techniques 10
- Text Readability and Simplification 3
- Speech Recognition and Synthesis 3
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- Human Mobility and Location-Based Analysis 3
- Co-authors
- Niloy Ganguly (14 shared papers)Abir De (5 shared papers)Pratim Kumar Chattaraj (2 shared papers)Manuel Gomez-Rodriguez (2 shared papers)Gourhari Jana (2 shared papers)Soumen Chakrabarti (5 shared papers)Pawan Goyal (2 shared papers)Satadeep Bhattacharjee (2 shared papers)
- Journals
- npj Computational Materials (1 paper)Journal of Machine Learning Research (1 paper)ACM Transactions on Asian and Low-Resource Language Information Processing (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- IndiaGermanyUnited Kingdom
In The Last Decade
Bidisha Samanta
16 papers receiving 218 citations
Peers
Comparison fields: 5 of 54
- Computational Theory and Mathematics 80
- Statistical and Nonlinear Physics 33
- Artificial Intelligence 85
- Materials Chemistry 87
- Health Informatics 2
Countries citing papers authored by Bidisha Samanta
This map shows the geographic impact of Bidisha Samanta'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 Bidisha Samanta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bidisha Samanta more than expected).
Fields of papers citing papers by Bidisha Samanta
This network shows the impact of papers produced by Bidisha Samanta. 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 Bidisha Samanta. The network helps show where Bidisha Samanta may publish in the future.
Co-authors
The 20 scholars most cited alongside Bidisha Samanta, 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 | 2019 | 94 | |
| 2 | 2017 | 18 | |
| 3 | 2022 | 18 | |
| 4 | 2023 | 13 | |
| 5 | 2019 | 12 | |
| 6 | 2019 | 11 | |
| 7 | 2022 | 10 | |
| 8 | 2023 | 9 | |
| 9 | 2017 | 8 | |
| 10 | 2018 | 8 | |
| 11 | 2021 | 6 | |
| 12 | 2022 | 5 | |
| 13 | 2023 | 4 | |
| 14 | 2019 | 3 | |
| 15 | 2021 | 3 | |
| 16 | 2023 | 3 | |
| 17 | 2024 | 0 |
About Bidisha Samanta
Bidisha Samanta is a scholar working on Artificial Intelligence, Transportation, Statistical and Nonlinear Physics, Computer Vision and Pattern Recognition and Materials Chemistry, having authored 17 papers that have together received 225 indexed citations. Recurring topics across this work include Topic Modeling (11 papers), Natural Language Processing Techniques (10 papers), Machine Learning in Materials Science (4 papers), Opinion Dynamics and Social Influence (3 papers), Text Readability and Simplification (3 papers), Complex Network Analysis Techniques (3 papers), Speech Recognition and Synthesis (3 papers) and Human Mobility and Location-Based Analysis (3 papers). The work is most often cited by research in Computational Theory and Mathematics (80 citations), Statistical and Nonlinear Physics (33 citations), Artificial Intelligence (85 citations), Materials Chemistry (87 citations) and Health Informatics (2 citations). Bidisha Samanta has collaborated with scholars based in India, Germany and United Kingdom. Frequent co-authors include Niloy Ganguly, Abir De, Pratim Kumar Chattaraj, Manuel Gomez-Rodriguez, Gourhari Jana, Soumen Chakrabarti, Pawan Goyal, Satadeep Bhattacharjee, Abhijnan Chakraborty and Animesh Mukherjee. Their work appears in journals such as npj Computational Materials, Journal of Machine Learning Research, ACM Transactions on Asian and Low-Resource Language Information Processing, Proceedings of the AAAI Conference on Artificial Intelligence and arXiv (Cornell University).
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.