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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- Natural Language Processing Techniques 7
- Topic Modeling 6
- Sentiment Analysis and Opinion Mining 2
- Text Readability and Simplification 2
- Co-authors
- Niloy Ganguly (10 shared papers)Abir De (4 shared papers)Gourhari Jana (1 shared paper)Pratim Kumar Chattaraj (1 shared paper)Manuel Gomez-Rodriguez (1 shared paper)Soumen Chakrabarti (3 shared papers)Pawan Goyal (2 shared papers)Satadeep Bhattacharjee (2 shared papers)
- Journals
- npj Computational Materials (1 paper)ACM Transactions on Asian and Low-Resource Language Information Processing (1 paper)arXiv (Cornell University) (1 paper)IEEE Conference Proceedings (1 paper)Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (1 paper)
- Partner nations
- IndiaGermanySouth Korea
In The Last Decade
Bidisha Samanta
13 papers receiving 171 citations
Peers
Comparison fields: 5 of 56
- Computational Theory and Mathematics 65
- Statistical and Nonlinear Physics 27
- Artificial Intelligence 63
- Health Informatics 2
- Materials Chemistry 72
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 22 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 | 85 | |
| 2 | 2017 | 17 | |
| 3 | 2022 | 17 | |
| 4 | 2023 | 11 | |
| 5 | 2019 | 10 | |
| 6 | 2017 | 8 | |
| 7 | 2022 | 8 | |
| 8 | 2018 | 7 | |
| 9 | 2017 | 6 | |
| 10 | 2023 | 5 | |
| 11 | 2022 | 4 | |
| 12 | 2021 | 3 | |
| 13 | 2023 | 2 |
About Bidisha Samanta
Bidisha Samanta is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics, Transportation and Materials Chemistry, having authored 13 papers that have together received 183 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (7 papers), Topic Modeling (6 papers), Complex Network Analysis Techniques (3 papers), Machine Learning in Materials Science (3 papers), Human Mobility and Location-Based Analysis (3 papers), Opinion Dynamics and Social Influence (3 papers), Sentiment Analysis and Opinion Mining (2 papers) and Text Readability and Simplification (2 papers). The work is most often cited by research in Computational Theory and Mathematics (65 citations), Statistical and Nonlinear Physics (27 citations), Artificial Intelligence (63 citations), Health Informatics (2 citations) and Materials Chemistry (72 citations). Bidisha Samanta has collaborated with scholars based in India, Germany and South Korea. Frequent co-authors include Niloy Ganguly, Abir De, Gourhari Jana, Pratim Kumar Chattaraj, Manuel Gomez-Rodriguez, Soumen Chakrabarti, Pawan Goyal, Satadeep Bhattacharjee, Abhijnan Chakraborty and Seung‐Cheol Lee. Their work appears in journals such as npj Computational Materials, ACM Transactions on Asian and Low-Resource Language Information Processing, arXiv (Cornell University), IEEE Conference Proceedings and Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).
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.