Sudip Kumar Naskar
Impact in
- Artificial Intelligence top 1%
- Natural Language Processing Techniques
- Topic Modeling
- Text Readability and Simplification
- Text and Document Classification Technologies
- Semantic Web and Ontologies
- Speech and dialogue systems
- Algorithms and Data Compression
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- Multimodal Machine Learning Applications
Papers in
-
- Natural Language Processing Techniques 105
- Topic Modeling 99
- Text Readability and Simplification 17
- Speech and dialogue systems 14
- Advanced Text Analysis Techniques 14
- Text and Document Classification Technologies 11
- Co-authors
- Sivaji Bandyopadhyay (35 shared papers)Andy Way (20 shared papers)Asif Ekbal (12 shared papers)Santanu Pal (23 shared papers)Somnath Banerjee (16 shared papers)Josef van Genabith (18 shared papers)Rejwanul Haque (12 shared papers)Paolo Rosso (10 shared papers)
In The Last Decade
Sudip Kumar Naskar
145 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 99
- Artificial Intelligence 1.1k
- Computer Vision and Pattern Recognition 161
- Language and Linguistics 66
- Information Systems 124
- Signal Processing 55
Countries citing papers authored by Sudip Kumar Naskar
This map shows the geographic impact of Sudip Kumar Naskar'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 Sudip Kumar Naskar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sudip Kumar Naskar more than expected).
Fields of papers citing papers by Sudip Kumar Naskar
This network shows the impact of papers produced by Sudip Kumar Naskar. 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 Sudip Kumar Naskar. The network helps show where Sudip Kumar Naskar may publish in the future.
Co-authors
The 25 scholars most cited alongside Sudip Kumar Naskar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 166 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 52 | |
| 2 | 2007 | 45 | |
| 3 | Overview of FIRE-2015 Shared Task on Mixed Script Information Retrieval. | 2015 | 34 |
| 4 | Use of Machine Translation in India: Current Status | 2005 | 34 |
| 5 | Combining multi-domain statistical machine translation models using automatic classifiers | 2010 | 28 |
| 6 | MATREX: The DCU MT System for WMT 2010 | 2010 | 28 |
| 7 | 2016 | 27 | |
| 8 | 2006 | 26 | |
| 9 | Handling Named Entities and Compound Verbs in Phrase-Based Statistical Machine Translation | 2010 | 25 |
| 10 | 2023 | 24 | |
| 11 | 2003 | 24 | |
| 12 | Perception vs. reality: measuring machine translation post-editing productivity | 2014 | 23 |
| 13 | Domain Adaptation in SMT of User-Generated Forum Content Guided by OOV Word Reduction: Normalization and/or Supplementary Data? | 2012 | 21 |
| 14 | 2019 | 21 | |
| 15 | 2009 | 20 | |
| 16 | 2015 | 20 | |
| 17 | 2014 | 20 | |
| 18 | 2018 | 20 | |
| 19 | A Phrasal EBMT System for Translating English to Bengali | 2005 | 20 |
| 20 | 2018 | 19 |
About Sudip Kumar Naskar
Sudip Kumar Naskar is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Molecular Biology, Information Systems and Management Science and Operations Research, having authored 166 papers that have together received 1.3k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (105 papers), Topic Modeling (99 papers), Text Readability and Simplification (17 papers), Biomedical Text Mining and Ontologies (16 papers), Speech and dialogue systems (14 papers), Advanced Text Analysis Techniques (14 papers), Text and Document Classification Technologies (11 papers) and Advanced Sensor and Energy Harvesting Materials (10 papers). The work is most often cited by research in Artificial Intelligence (1.1k citations), Computer Vision and Pattern Recognition (161 citations), Language and Linguistics (66 citations), Information Systems (124 citations) and Signal Processing (55 citations). Sudip Kumar Naskar has collaborated with scholars based in India, Ireland and Germany. Frequent co-authors include Sivaji Bandyopadhyay, Andy Way, Asif Ekbal, Santanu Pal, Somnath Banerjee, Josef van Genabith, Rejwanul Haque, Paolo Rosso, Dipankar Mandal and Mihaela Vela. Their work appears in journals such as Journal of Intelligent & Fuzzy Systems, Small, Materials Horizons, Advanced Materials and Sadhana.
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.