Tirthankar Dasgupta

2.6k total citations
109 papers, 1.7k citations indexed

About

Tirthankar Dasgupta is a scholar working on Artificial Intelligence, Management Science and Operations Research and Cognitive Neuroscience. According to data from OpenAlex, Tirthankar Dasgupta has authored 109 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Artificial Intelligence, 15 papers in Management Science and Operations Research and 13 papers in Cognitive Neuroscience. Recurrent topics in Tirthankar Dasgupta's work include Topic Modeling (22 papers), Natural Language Processing Techniques (18 papers) and Advanced Text Analysis Techniques (13 papers). Tirthankar Dasgupta is often cited by papers focused on Topic Modeling (22 papers), Natural Language Processing Techniques (18 papers) and Advanced Text Analysis Techniques (13 papers). Tirthankar Dasgupta collaborates with scholars based in India, United States and Netherlands. Tirthankar Dasgupta's co-authors include Qiang Huang, Anupam Basu, Arman Sabbaghi, Lipika Dey, Donald B. Rubin, Jizhe Zhang, C. F. Jeff Wu, V. Roshan Joseph, Zhong Lin Wang and Fugee Tsung and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and ACS Nano.

In The Last Decade

Tirthankar Dasgupta

97 papers receiving 1.6k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tirthankar Dasgupta India 22 370 340 328 263 217 109 1.7k
Ying Zhang China 26 412 1.1× 148 0.4× 162 0.5× 317 1.2× 45 0.2× 187 2.5k
Zhenyu Zhang China 19 163 0.4× 129 0.4× 142 0.4× 214 0.8× 18 0.1× 125 1.4k
Kai Yu Hong Kong 24 441 1.2× 509 1.5× 777 2.4× 108 0.4× 10 0.0× 119 1.7k
Weihang Zhu United States 23 54 0.1× 199 0.6× 389 1.2× 158 0.6× 20 0.1× 125 2.7k
Prashant K. Jain India 28 1.5k 4.0× 629 1.9× 1.1k 3.4× 255 1.0× 6 0.0× 145 3.8k
Chunsheng Yang China 29 110 0.3× 159 0.5× 550 1.7× 235 0.9× 9 0.0× 171 2.9k
Hideki Aoyama Japan 19 50 0.1× 331 1.0× 612 1.9× 46 0.2× 9 0.0× 147 1.5k
Pedro Ponce Mexico 22 67 0.2× 220 0.6× 175 0.5× 252 1.0× 7 0.0× 209 2.0k
Nagarajan Raghavan Singapore 29 485 1.3× 180 0.5× 564 1.7× 107 0.4× 18 0.1× 261 3.5k
Hyun-Jung Kim South Korea 31 279 0.8× 1.4k 4.3× 228 0.7× 111 0.4× 3 0.0× 168 3.3k

Countries citing papers authored by Tirthankar Dasgupta

Since Specialization
Citations

This map shows the geographic impact of Tirthankar Dasgupta'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 Tirthankar Dasgupta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tirthankar Dasgupta more than expected).

Fields of papers citing papers by Tirthankar Dasgupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tirthankar Dasgupta. 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 Tirthankar Dasgupta. The network helps show where Tirthankar Dasgupta may publish in the future.

Co-authorship network of co-authors of Tirthankar Dasgupta

This figure shows the co-authorship network connecting the top 25 collaborators of Tirthankar Dasgupta. A scholar is included among the top collaborators of Tirthankar Dasgupta based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tirthankar Dasgupta. Tirthankar Dasgupta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Dasgupta, Tirthankar, et al.. (2024). Linking Generalized Ligamentous Laxity to Musculoskeletal Injury: A Study in the Indian Population. Cureus. 16(1). e52180–e52180.
3.
Dasgupta, Tirthankar, et al.. (2023). Osteological morphometric analysis of instrumentation safe zones of C1 and C2 vertebra in North Indian population: a multicentric study. International Journal of Research in Orthopaedics. 9(6). 1148–1159. 1 indexed citations
4.
Ramos, Rodrigo Soares, et al.. (2022). Comparative Efficacy of Superheated Dry Steam Application and Insecticide Spray Against Common Bed Bugs Under Simulated Field Conditions. Journal of Economic Entomology. 116(1). 12–18. 4 indexed citations
5.
Sengul, Mert Y., Nadire Nayir, Yawei Gao, et al.. (2021). INDEEDopt: a deep learning-based ReaxFF parameterization framework. npj Computational Materials. 7(1). 28 indexed citations
6.
Dey, Lipika, et al.. (2019). Ontology Guided Purposive News Retrieval and Presentation.. International ACM SIGIR Conference on Research and Development in Information Retrieval. 45–50. 2 indexed citations
7.
Colosimo, Bianca Maria, Qiang Huang, Tirthankar Dasgupta, & Fugee Tsung. (2018). Opportunities and challenges of quality engineering for additive manufacturing. Journal of Quality Technology. 50(3). 233–252. 97 indexed citations
8.
Dasgupta, Tirthankar. (2017). Genetic variability and divergence among genotypes of sesame (Sesamum indicum L.). Bangladesh Journal of Botany. 46(3). 955–962. 2 indexed citations
9.
Dasgupta, Tirthankar & Lipika Dey. (2016). Automatic Scoring for Innovativeness of Textual Ideas.. National Conference on Artificial Intelligence. 14 indexed citations
10.
Dasgupta, Tirthankar, et al.. (2016). Effect of Syntactic Features in Bangla Sentence Comprehension. 275–284. 1 indexed citations
11.
Dasgupta, Tirthankar, et al.. (2015). A Bayesian Perspective on the Analysis of Unreplicated Factorial Experiments Using Potential Outcomes. Technometrics. 58(1). 62–73. 14 indexed citations
12.
Dasgupta, Tirthankar, et al.. (2014). Influence of Target Reader Background and Text Features on Text Readability in Bangla: A Computational Approach. International Conference on Computational Linguistics. 345–354. 2 indexed citations
13.
Dasgupta, Tirthankar, et al.. (2014). Text Readability in Hindi: A Comparative Study of Feature Performances Using Support Vectors. 223–231. 1 indexed citations
14.
Dasgupta, Tirthankar, et al.. (2012). Forward Transliteration of Dzongkha Text to Braille. 97–106. 4 indexed citations
15.
Choudhury, Monojit, et al.. (2010). Resource Creation for Training and Testing of Transliteration Systems for Indian Languages. Language Resources and Evaluation. 2902–2907. 25 indexed citations
16.
Dasgupta, Tirthankar, et al.. (2009). A speech enabled Indian language text to braille transliteration system. 201–211. 15 indexed citations
17.
Dasgupta, Tirthankar, et al.. (2008). A Multilingual Multimedia Indian Sign Language Dictionary Tool. International Joint Conference on Natural Language Processing. 57–64. 40 indexed citations
18.
Dasgupta, Tirthankar, et al.. (2008). Prototype Machine Translation System From Text-To-Indian Sign Language. International Joint Conference on Natural Language Processing. 19–26. 8 indexed citations
19.
Sanyal, Debasish, et al.. (2005). Olanzapine-induced obesity and diabetes in Indian patients: a prospective trial comparing olanzapine with typical antipsychotics.. PubMed. 103(12). 660–4. 14 indexed citations
20.
Dasgupta, Tirthankar, et al.. (1984). Multivariate analysis and selection of parents for hybridization in black gram.. 10 indexed citations

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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