Partha Pakray
Impact in
- Artificial Intelligence top 2%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Text and Document Classification Technologies
- Sentiment Analysis and Opinion Mining
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- Multimodal Machine Learning Applications
- Handwritten Text Recognition Techniques
Papers in
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- Natural Language Processing Techniques 107
- Topic Modeling 105
- Advanced Text Analysis Techniques 24
- Text and Document Classification Technologies 18
- Semantic Web and Ontologies 12
- Speech and dialogue systems 8
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- Multimodal Machine Learning Applications 30
- Co-authors
- Alexander Gelbukh (55 shared papers)Sivaji Bandyopadhyay (69 shared papers)Ranjita Das (15 shared papers)Arnab Kumar Maji (8 shared papers)David Pinto (6 shared papers)Santanu Pal (10 shared papers)Dipankar Das (12 shared papers)Soujanya Poria (4 shared papers)
In The Last Decade
Partha Pakray
153 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 94
- Artificial Intelligence 940
- Computer Vision and Pattern Recognition 249
- Computer Science Applications 44
- Theoretical Computer Science 9
- Health Informatics 8
Countries citing papers authored by Partha Pakray
This map shows the geographic impact of Partha Pakray'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 Partha Pakray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Partha Pakray more than expected).
Fields of papers citing papers by Partha Pakray
This network shows the impact of papers produced by Partha Pakray. 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 Partha Pakray. The network helps show where Partha Pakray may publish in the future.
Co-authors
The 25 scholars most cited alongside Partha Pakray, 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 163 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 55 | |
| 2 | 2018 | 47 | |
| 3 | 2024 | 30 | |
| 4 | 2021 | 30 | |
| 5 | 2018 | 28 | |
| 6 | 2019 | 21 | |
| 7 | 2011 | 21 | |
| 8 | 2015 | 21 | |
| 9 | 2021 | 21 | |
| 10 | A hybrid question answering system based on information retrieval and answer validation | 2011 | 21 |
| 11 | 2022 | 20 | |
| 12 | 2023 | 20 | |
| 13 | 2014 | 20 | |
| 14 | 2019 | 19 | |
| 15 | 2019 | 18 | |
| 16 | 2011 | 18 | |
| 17 | 2023 | 17 | |
| 18 | Question Answering System for QA4MRE@CLEF 2012 | 2012 | 17 |
| 19 | 2020 | 17 | |
| 20 | 2021 | 16 |
About Partha Pakray
Partha Pakray is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computational Theory and Mathematics, Information Systems and Molecular Biology, having authored 163 papers that have together received 1.2k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (107 papers), Topic Modeling (105 papers), Multimodal Machine Learning Applications (30 papers), Advanced Text Analysis Techniques (24 papers), Mathematics, Computing, and Information Processing (18 papers), Text and Document Classification Technologies (18 papers), Semantic Web and Ontologies (12 papers) and Speech and dialogue systems (8 papers). The work is most often cited by research in Artificial Intelligence (940 citations), Computer Vision and Pattern Recognition (249 citations), Computer Science Applications (44 citations), Theoretical Computer Science (9 citations) and Health Informatics (8 citations). Partha Pakray has collaborated with scholars based in India, Mexico and France. Frequent co-authors include Alexander Gelbukh, Sivaji Bandyopadhyay, Ranjita Das, Arnab Kumar Maji, David Pinto, Santanu Pal, Dipankar Das, Soujanya Poria, Somnath Banerjee and Sudip Kumar Naskar. Their work appears in journals such as Journal of Intelligent & Fuzzy Systems, Sadhana, Theory and applications of categories, Multimedia Tools and Applications and Neural Computing and 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.