Sudipta Kar

1.2k total citations
20 papers, 362 citations indexed

About

Sudipta Kar is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Sudipta Kar has authored 20 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Molecular Biology. Recurrent topics in Sudipta Kar's work include Topic Modeling (10 papers), Natural Language Processing Techniques (9 papers) and Sentiment Analysis and Opinion Mining (5 papers). Sudipta Kar is often cited by papers focused on Topic Modeling (10 papers), Natural Language Processing Techniques (9 papers) and Sentiment Analysis and Opinion Mining (5 papers). Sudipta Kar collaborates with scholars based in United States, Bangladesh and Spain. Sudipta Kar's co-authors include Besnik Fetahu, Oleg Rokhlenko, Shervin Malmasi, Thamar Solorio, Anjie Fang, Zhiyu Chen, Paolo Rosso, Md. Saiful Islam, Parth Patwa and Björn Gambäck and has published in prestigious journals such as ACM Computing Surveys, Language Resources and Evaluation and Journal of Human Reproductive Sciences.

In The Last Decade

Sudipta Kar

18 papers receiving 325 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sudipta Kar United States 10 329 41 39 28 28 20 362
Chong Teng China 8 294 0.9× 44 1.1× 48 1.2× 21 0.8× 30 1.1× 35 335
Ryohei Sasano Japan 11 282 0.9× 42 1.0× 11 0.3× 11 0.4× 48 1.7× 50 320
Peng-Hsuan Li Taiwan 4 289 0.9× 32 0.8× 55 1.4× 41 1.5× 23 0.8× 7 312
Junqi Dai China 6 497 1.5× 52 1.3× 43 1.1× 15 0.5× 40 1.4× 10 525
Nicky Ringland Australia 3 245 0.7× 43 1.0× 41 1.1× 22 0.8× 24 0.9× 4 282
Rahul Bhagat United States 9 380 1.2× 55 1.3× 21 0.5× 27 1.0× 35 1.3× 14 412
Bobo Li China 11 282 0.9× 20 0.5× 26 0.7× 14 0.5× 30 1.1× 37 346
Kilian Evang Netherlands 11 311 0.9× 21 0.5× 11 0.3× 14 0.5× 34 1.2× 25 338
Kashif Rasul Germany 3 158 0.5× 27 0.7× 12 0.3× 15 0.5× 12 0.4× 3 183
Yassine Benajiba United States 9 328 1.0× 31 0.8× 19 0.5× 8 0.3× 27 1.0× 31 351

Countries citing papers authored by Sudipta Kar

Since Specialization
Citations

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

Fields of papers citing papers by Sudipta Kar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sudipta Kar

This figure shows the co-authorship network connecting the top 25 collaborators of Sudipta Kar. A scholar is included among the top collaborators of Sudipta Kar 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 Sudipta Kar. Sudipta Kar 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.
Kar, Sudipta, et al.. (2025). Chain-of-Instructions: Compositional Instruction Tuning on Large Language Models. Proceedings of the AAAI Conference on Artificial Intelligence. 39(22). 24005–24013.
2.
Fetahu, Besnik, Sudipta Kar, Zhiyu Chen, Oleg Rokhlenko, & Shervin Malmasi. (2023). SemEval-2023 Task 2: Fine-grained Multilingual Named Entity Recognition (MultiCoNER 2). 2247–2265. 34 indexed citations
3.
Fetahu, Besnik, Zhiyu Chen, Sudipta Kar, Oleg Rokhlenko, & Shervin Malmasi. (2023). MultiCoNER v2: a Large Multilingual dataset for Fine-grained and Noisy Named Entity Recognition. 2027–2051. 32 indexed citations
4.
Richardson, Christopher, et al.. (2023). Learning to Retrieve Engaging Follow-Up Queries. 2009–2016. 2 indexed citations
5.
Malmasi, Shervin, Anjie Fang, Besnik Fetahu, Sudipta Kar, & Oleg Rokhlenko. (2022). SemEval-2022 Task 11: Multilingual Complex Named Entity Recognition (MultiCoNER). 1412–1437. 87 indexed citations
6.
Rosso, Paolo, et al.. (2022). Survey on Aspect Category Detection. ACM Computing Surveys. 55(7). 1–37. 17 indexed citations
7.
Kar, Sudipta, Giuseppe Castellucci, Simone Filice, Shervin Malmasi, & Oleg Rokhlenko. (2022). Preventing Catastrophic Forgetting in Continual Learning of New Natural Language Tasks. Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. 3137–3145. 2 indexed citations
8.
Kar, Sudipta, et al.. (2021). SentNoB: A Dataset for Analysing Sentiment on Noisy Bangla Texts. 3265–3271. 33 indexed citations
9.
Islam, Md. Saiful, et al.. (2020). BanFakeNews: A Dataset for Detecting Fake News in Bangla. Language Resources and Evaluation. 2862–2871. 3 indexed citations
10.
Kar, Sudipta, et al.. (2020). Age Suitability Rating: Predicting the MPAA Rating Based on Movie Dialogues. Language Resources and Evaluation. 1327–1335. 5 indexed citations
11.
Patwa, Parth, Gustavo Aguilar, Sudipta Kar, et al.. (2020). SemEval-2020 Task 9: Overview of Sentiment Analysis of Code-Mixed Tweets. 774–790. 69 indexed citations
12.
Kar, Sudipta, Suraj Maharjan, Adrián Pastor López-Monroy, & Thamar Solorio. (2018). MPST: A Corpus of Movie Plot Synopses with Tags. arXiv (Cornell University). 4 indexed citations
13.
Kar, Sudipta, Suraj Maharjan, & Thamar Solorio. (2018). Folksonomication: Predicting Tags for Movies from Plot Synopses Using Emotion Flow Encoded Neural Network. International Conference on Computational Linguistics. 2879–2891. 3 indexed citations
14.
Kar, Sudipta, et al.. (2018). RiTUAL-UH at TRAC 2018 Shared Task: Aggression Identification. arXiv (Cornell University). 12–18. 13 indexed citations
15.
Kar, Sudipta, Suraj Maharjan, & Thamar Solorio. (2017). RiTUAL-UH at SemEval-2017 Task 5: Sentiment Analysis on Financial Data Using Neural Networks. 877–882. 13 indexed citations
16.
Franco-Salvador, Marc, Sudipta Kar, Thamar Solorio, & Paolo Rosso. (2016). UH-PRHLT at SemEval-2016 Task 3: Combining Lexical and Semantic-based Features for Community Question Answering. 814–821. 31 indexed citations
17.
Kar, Sudipta, et al.. (2015). A COMPARATIVE EVALUATION OF DENTAL CARIES STATUS AMONG VISUALLY IMPAIRED AND NORMAL CHILDREN OF MALDA, WEST BENGAL EVALUATED WITH CARIES ASSESSMENT SPECTRUM AND TREATMENT-A NEW CARIES ASSESSMENT SYSTEM. 1 indexed citations
18.
Kar, Sudipta, et al.. (2014). Prevalence of dental attrition in in vitro fertilization children of West Bengal. Journal of Human Reproductive Sciences. 7(1). 34–34. 1 indexed citations
19.
Kar, Sudipta, et al.. (2014). Comparative evaluation of growth parameters of IVF children of West Bengal. International Journal of Health & Allied Sciences. 3(2). 129–129.
20.
Singh, A. K., et al.. (2013). Storage media for avulsed tooth - A review. 3(3). 741. 12 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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