Sudeshna Sarkar

2.6k total citations
125 papers, 1.5k citations indexed

About

Sudeshna Sarkar is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Sudeshna Sarkar has authored 125 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 88 papers in Artificial Intelligence, 22 papers in Information Systems and 15 papers in Computer Vision and Pattern Recognition. Recurrent topics in Sudeshna Sarkar's work include Topic Modeling (45 papers), Natural Language Processing Techniques (43 papers) and Text and Document Classification Technologies (14 papers). Sudeshna Sarkar is often cited by papers focused on Topic Modeling (45 papers), Natural Language Processing Techniques (43 papers) and Text and Document Classification Technologies (14 papers). Sudeshna Sarkar collaborates with scholars based in India, United States and Australia. Sudeshna Sarkar's co-authors include Pabitra Mitra, Sujan Kumar Saha, Anupam Basu, P.P. Chakrabarti, Sandipan Dandapat, S. Ghose, Monojit Choudhury, Sumit Goswami, Animesh Mukherjee and Abhijit Mukherjee and has published in prestigious journals such as Physical review. B, Condensed matter, Geophysical Research Letters and Expert Systems with Applications.

In The Last Decade

Sudeshna Sarkar

109 papers receiving 1.4k citations

Peers

Sudeshna Sarkar
Paul E. Utgoff United States
Aryya Gangopadhyay United States
Jonathan Lawry United Kingdom
Jun Feng China
Sudeshna Sarkar
Citations per year, relative to Sudeshna Sarkar Sudeshna Sarkar (= 1×) peers Yangming Zhou

Countries citing papers authored by Sudeshna Sarkar

Since Specialization
Citations

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

Fields of papers citing papers by Sudeshna Sarkar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sudeshna Sarkar

This figure shows the co-authorship network connecting the top 25 collaborators of Sudeshna Sarkar. A scholar is included among the top collaborators of Sudeshna Sarkar 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 Sudeshna Sarkar. Sudeshna Sarkar 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.
Paik, Jiaul H., et al.. (2025). Balanced seed selection for K-means clustering with determinantal point process. Pattern Recognition. 164. 111548–111548. 3 indexed citations
2.
Sarkar, Sudeshna, et al.. (2024). Enhancing Low-Resource NMT with a Multilingual Encoder and Knowledge Distillation: A Case Study. 64–73. 2 indexed citations
4.
Mukhopadhyay, Jayanta, et al.. (2023). Finding hierarchy of clusters. Pattern Recognition Letters. 178. 7–13. 4 indexed citations
5.
Winter, Stephan, et al.. (2021). Ad-hoc platoon formation and dissolution strategies for multi-lane highways. Journal of Intelligent Transportation Systems. 27(2). 161–173. 11 indexed citations
6.
Majumder, Prasenjit, et al.. (2020). Overview of the FIRE 2020 EDNIL Track: Event Detection from News in Indian Languages.. 806–816. 3 indexed citations
7.
Sarkar, Sudeshna, et al.. (2017). An Event Extraction System via Neural Networks.. 136–139. 2 indexed citations
8.
Das, Ayan Kumar, et al.. (2016). A study of attention-based neural machine translation model on Indian languages. International Conference on Computational Linguistics. 163–172. 3 indexed citations
9.
Bhattacharya, Paheli, Pawan Goyal, & Sudeshna Sarkar. (2016). Query Translation for Cross-Language Information Retrieval using Multilingual Word Clusters. International Conference on Computational Linguistics. 152–162. 6 indexed citations
10.
Desarkar, Maunendra Sankar & Sudeshna Sarkar. (2012). Rating prediction using preference relations based matrix factorization.. 7 indexed citations
11.
Sarkar, Sudeshna, et al.. (2012). Translations of Ambiguous Hindi Pronouns to Possible Bengali Pronouns. International Conference on Computational Linguistics. 125–134.
12.
Datta, Nabanita S., et al.. (2012). Repairing Bengali Verb Chunks for Improved Bengali to Hindi Machine Translation. International Conference on Computational Linguistics. 65–74.
13.
Bhowmick, Plaban Kumar, Sudeshna Sarkar, & Anupam Basu. (2010). Ontology Based User Modeling for Personalized Information Access.. 7. 1–22. 9 indexed citations
14.
Bhowmick, Plaban Kumar, et al.. (2010). A Framework for Manual Ontology Engineering for Management of Learning Material Repository.. 7. 30–51. 5 indexed citations
15.
Saha, Sujan Kumar, Sudeshna Sarkar, & Pabitra Mitra. (2008). A Hybrid Feature Set based Maximum Entropy Hindi Named Entity Recognition. International Joint Conference on Natural Language Processing. 343–349. 44 indexed citations
16.
Saha, Sujan Kumar, Sudeshna Sarkar, & Pabitra Mitra. (2008). Gazetteer Preparation for Named Entity Recognition in Indian Languages. International Joint Conference on Natural Language Processing. 9–16. 15 indexed citations
17.
Saha, Sujan Kumar, et al.. (2008). A Hybrid Named Entity Recognition System for South and South East Asian Languages. International Joint Conference on Natural Language Processing. 17–24. 25 indexed citations
18.
Dandapat, Sandipan, et al.. (2007). Bengali and Hindi to English Cross-language Text Retrieval under Limited Resources. CLEF (Working Notes). 7 indexed citations
19.
Sarkar, Sudeshna, et al.. (2005). Automatic Annotation of Documents with Metadata for use with Tutoring System.. Indian International Conference on Artificial Intelligence. 3576–3592. 2 indexed citations
20.
Dandapat, Sandipan, Sudeshna Sarkar, & Anupam Basu. (2004). A Hybrid Model for Part-of-Speech Tagging and its Application to Bengali. 169–172. 30 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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