Tanmay Basu
- Health Informatics top 10%
- General Social Sciences top 5%
- Artificial Intelligence top 10%
- Text and Document Classification Technologies 8
- Advanced Text Analysis Techniques 4
- Sentiment Analysis and Opinion Mining 3
- Advanced Clustering Algorithms Research 3
- Topic Modeling 2
- Information Systems top 10%
- Spam and Phishing Detection 5
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- Mental Health via Writing 3
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- Complex Network Analysis Techniques 2
- Co-authors
- C.A. MurthyV. G. Vinod VydiswaranTimothy C. GuettermanTammy ChangMelissa DeJonckheereKuntal GhoshAsit Kumar DasGeorgios V. Gkoutos
- Journals
- International Journal of Machine Learning and Cybernetics (2 papers)Cancer Research (1 paper)Information Sciences (1 paper)
- Partner nations
- IndiaUnited KingdomUnited States
In The Last Decade
Tanmay Basu
15 papers receiving 255 citations
Peers
Comparison fields: 5 of 95
- Health Informatics 14
- General Social Sciences 19
- Artificial Intelligence 154
- Information Systems 64
- Applied Psychology 14
Countries citing papers authored by Tanmay Basu
This map shows the geographic impact of Tanmay Basu'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 Tanmay Basu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tanmay Basu more than expected).
Fields of papers citing papers by Tanmay Basu
This network shows the impact of papers produced by Tanmay Basu. 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 Tanmay Basu. The network helps show where Tanmay Basu may publish in the future.
Co-authorship network
The 12 scholars most cited alongside Tanmay Basu, 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 | 2023 | 1 | |
| 2 | 2022 | 1 | |
| 3 | 2022 | 4 | |
| 4 | 2021 | 1 | |
| 5 | Exploring the Performance of Baseline Text Mining Frameworks for Early Prediction of Self Harm Over Social Media. | 2021 | 2 |
| 6 | 2020 | 11 | |
| 7 | 2020 | 2 | |
| 8 | 2019 | 5 | |
| 9 | 2018 | 112 | |
| 10 | Early Detection of Signs of Anorexia and Depression Over Social Media using Effective Machine Learning Frameworks. | 2018 | 26 |
| 11 | 2015 | 12 | |
| 12 | 2015 | 24 | |
| 13 | 2015 | 1 | |
| 14 | 2013 | 8 | |
| 15 | 2013 | 16 | |
| 16 | 2012 | 47 |
About Tanmay Basu
Tanmay Basu is a scholar working on Artificial Intelligence, Information Systems, Statistical and Nonlinear Physics, Computer Vision and Pattern Recognition and Social Psychology, having authored 16 papers that have together received 273 indexed citations. Recurring topics across this work include Text and Document Classification Technologies (8 papers), Spam and Phishing Detection (5 papers), Advanced Text Analysis Techniques (4 papers), Mental Health via Writing (3 papers), Sentiment Analysis and Opinion Mining (3 papers), Advanced Clustering Algorithms Research (3 papers), Topic Modeling (2 papers) and Complex Network Analysis Techniques (2 papers). The work is most often cited by research in Health Informatics (14 citations), General Social Sciences (19 citations), Artificial Intelligence (154 citations), Information Systems (64 citations) and Applied Psychology (14 citations). Tanmay Basu has collaborated with scholars based in India, United Kingdom and United States. Frequent co-authors include C.A. Murthy, V. G. Vinod Vydiswaran, Timothy C. Guetterman, Tammy Chang, Melissa DeJonckheere, Kuntal Ghosh, Asit Kumar Das, Asit Kumar Das, Georgios V. Gkoutos and Sugunakar Vuree. Their work appears in journals such as International Journal of Machine Learning and Cybernetics, Cancer Research, Information Sciences, Physica A Statistical Mechanics and its Applications and Electronic Commerce Research.
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.