Tanmay Basu

444 citations
16 papers · 273 · h-index 8

Impact in

Papers in

    • Text and Document Classification Technologies 8
    • Advanced Text Analysis Techniques 4
    • Sentiment Analysis and Opinion Mining 3
    • Advanced Clustering Algorithms Research 3
    • Natural Language Processing Techniques 2
    • Spam and Phishing Detection 5

Tanmay Basu

15 papers receiving 255 citations

Peers

Tanmay Basu
Comparison fields: 5 of 95
  • Health Informatics 14
  • General Social Sciences 19
  • Artificial Intelligence 154
  • Information Systems 64
  • Applied Psychology 14
Replace Juan Antonio Lossio-Ventura with:
Juan Antonio Lossio-Ventura United States
Seng-Beng Ho Singapore
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Akib Mohi Ud Din Khanday India
Abhilasha Ravichander United States
Yada Pruksachatkun United States
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Citations per field
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Citations per year

Countries citing papers authored by Tanmay Basu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Tanmay Basu Line = papers co-authored together Tanmay Basu links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2018112
2 201247
3
Early Detection of Signs of Anorexia and Depression Over Social Media using Effective Machine Learning Frameworks.
201826
4 201524
5 201316
6 201512
7 202011
8 20138
9 20195
10 20224
11
Exploring the Performance of Baseline Text Mining Frameworks for Early Prediction of Self Harm Over Social Media.
20212
12 20202
13 20211
14 20231
15 20221
16 20151

About Tanmay Basu

Tanmay Basu is a scholar working on Artificial Intelligence, Information Systems, Social Psychology, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics, 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), Complex Network Analysis Techniques (2 papers) and Natural Language Processing 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, Timothy C. Guetterman, Melissa DeJonckheere, V. G. Vinod Vydiswaran, Tammy Chang, Kuntal Ghosh, Asit Kumar Das, Georgios V. Gkoutos, Asit Kumar Das and Naidu Subbarao. Their work appears in journals such as International Journal of Machine Learning and Cybernetics, Information Sciences, Physica A Statistical Mechanics and its Applications, Electronic Commerce Research and Journal of Medical Internet 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.

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