Sudeshna Sarkar
- Artificial Intelligence top 1%
- Information Systems top 2%
- Computer Vision and Pattern Recognition top 10%
- Computer Networks and Communications top 10%
- Global and Planetary Change top 10%
- Co-authors
- Pabitra MitraSujan Kumar SahaAnupam BasuP.P. ChakrabartiSandipan DandapatS. GhoseMonojit ChoudhurySumit Goswami
- Topics
- Topic Modeling (45 papers)Natural Language Processing Techniques (43 papers)Text and Document Classification Technologies (14 papers)
- Journals
- Physical review. B, Condensed matterGeophysical Research LettersExpert Systems with Applications
- Partner nations
- IndiaUnited StatesAustralia
In The Last Decade
Sudeshna Sarkar
109 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 114
- Artificial Intelligence 966
- Information Systems 298
- Computer Vision and Pattern Recognition 143
- Computer Networks and Communications 133
- Global and Planetary Change 119
Countries citing papers authored by Sudeshna Sarkar
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 11 | |
| 6 | Overview of the FIRE 2020 EDNIL Track: Event Detection from News in Indian Languages. | 3 |
| 7 | An Event Extraction System via Neural Networks. | 2 |
| 8 | A study of attention-based neural machine translation model on Indian languages | 3 |
| 9 | Query Translation for Cross-Language Information Retrieval using Multilingual Word Clusters | 6 |
| 10 | Rating prediction using preference relations based matrix factorization. | 7 |
| 11 | Translations of Ambiguous Hindi Pronouns to Possible Bengali Pronouns | 0 |
| 12 | Repairing Bengali Verb Chunks for Improved Bengali to Hindi Machine Translation | 0 |
| 13 | Ontology Based User Modeling for Personalized Information Access. | 9 |
| 14 | A Framework for Manual Ontology Engineering for Management of Learning Material Repository. | 5 |
| 15 | A Hybrid Feature Set based Maximum Entropy Hindi Named Entity Recognition | 44 |
| 16 | Gazetteer Preparation for Named Entity Recognition in Indian Languages | 15 |
| 17 | A Hybrid Named Entity Recognition System for South and South East Asian Languages | 25 |
| 18 | Bengali and Hindi to English Cross-language Text Retrieval under Limited Resources | 7 |
| 19 | Automatic Annotation of Documents with Metadata for use with Tutoring System. | 2 |
| 20 | A Hybrid Model for Part-of-Speech Tagging and its Application to Bengali | 30 |
About Sudeshna Sarkar
Sudeshna Sarkar is a scholar working on Artificial Intelligence, Computer Science Applications and Information Systems, having authored 125 papers that have together received 1.5k indexed citations. Recurring topics across this work include Topic Modeling (45 papers), Natural Language Processing Techniques (43 papers) and Text and Document Classification Technologies (14 papers). The work is most often cited by research in Artificial Intelligence (966 citations), Software (66 citations) and Information Systems (298 citations). Sudeshna Sarkar has collaborated with scholars based in India, United States and Australia. Frequent 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. Their work appears in journals such as Physical review. B, Condensed matter, Geophysical Research Letters and Expert Systems with Applications.
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.