Subhro Roy
Impact in
- Artificial Intelligence top 2%
- Topic Modeling
- Natural Language Processing Techniques
- Intelligent Tutoring Systems and Adaptive Learning
- Advanced Graph Neural Networks
- Text Readability and Simplification
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- Multimodal Machine Learning Applications
Papers in
-
- Topic Modeling 21
- Natural Language Processing Techniques 19
- Speech and dialogue systems 5
- AI-based Problem Solving and Planning 3
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- Multimodal Machine Learning Applications 6
- Co-authors
- Dan Roth (8 shared papers)Tim Vieira (1 shared paper)Aida Amini (1 shared paper)Nate Kushman (1 shared paper)Rik Koncel-Kedziorski (1 shared paper)Hannaneh Hajishirzi (1 shared paper)Rohan Singh Paul (6 shared papers)Daehyung Park (7 shared papers)
- Journals
- Theory and applications of categories (2 papers)Transactions of the Association for Computational Linguistics (2 papers)The International Journal of Robotics Research (1 paper)Algorithmica (1 paper)Lecture notes in computer science (2 papers)
- Partner nations
- United StatesBangladeshIndia
In The Last Decade
Subhro Roy
26 papers receiving 860 citations
Peers
Comparison fields: 5 of 55
- Artificial Intelligence 770
- Computer Vision and Pattern Recognition 174
- Information Systems 171
- Computational Theory and Mathematics 74
- Computer Science Applications 18
Countries citing papers authored by Subhro Roy
This map shows the geographic impact of Subhro Roy'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 Subhro Roy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Subhro Roy more than expected).
Fields of papers citing papers by Subhro Roy
This network shows the impact of papers produced by Subhro Roy. 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 Subhro Roy. The network helps show where Subhro Roy may publish in the future.
Co-authors
The 25 scholars most cited alongside Subhro Roy, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 191 | |
| 2 | 2016 | 153 | |
| 3 | 2021 | 103 | |
| 4 | 2015 | 101 | |
| 5 | 2017 | 68 | |
| 6 | 2018 | 65 | |
| 7 | 2020 | 32 | |
| 8 | 2014 | 31 | |
| 9 | 2016 | 22 | |
| 10 | Grounding Robot Plans from Natural Language Instructions with Incomplete World Knowledge | 2018 | 22 |
| 11 | 2018 | 19 | |
| 12 | 2016 | 12 | |
| 13 | Illinois CCG TAC 2015 Event Nugget, Entity Discovery and Linking, and Slot Filler Validation Systems | 2015 | 10 |
| 14 | 2023 | 10 | |
| 15 | 2021 | 9 | |
| 16 | 2022 | 8 | |
| 17 | 2022 | 6 | |
| 18 | 2016 | 6 | |
| 19 | 2020 | 6 | |
| 20 | 2019 | 6 |
About Subhro Roy
Subhro Roy is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Computational Theory and Mathematics and Industrial and Manufacturing Engineering, having authored 31 papers that have together received 897 indexed citations. Recurring topics across this work include Topic Modeling (21 papers), Natural Language Processing Techniques (19 papers), Multimodal Machine Learning Applications (6 papers), Speech and dialogue systems (5 papers), AI-based Problem Solving and Planning (3 papers), Software Engineering Research (3 papers), Optimization and Packing Problems (2 papers) and Biomedical Text Mining and Ontologies (2 papers). The work is most often cited by research in Artificial Intelligence (770 citations), Computer Vision and Pattern Recognition (174 citations), Information Systems (171 citations), Computational Theory and Mathematics (74 citations) and Computer Science Applications (18 citations). Subhro Roy has collaborated with scholars based in United States, Bangladesh and India. Frequent co-authors include Dan Roth, Tim Vieira, Aida Amini, Nate Kushman, Rik Koncel-Kedziorski, Hannaneh Hajishirzi, Rohan Singh Paul, Daehyung Park, Benjamin Van Durme and Charles Chen. Their work appears in journals such as Theory and applications of categories, Transactions of the Association for Computational Linguistics, The International Journal of Robotics Research, Algorithmica and Lecture notes in computer science.
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.