Subhro Roy
- Artificial Intelligence top 2%
- Topic Modeling 20
- Natural Language Processing Techniques 17
- Speech and dialogue systems 4
- AI-based Problem Solving and Planning 3
- Reinforcement Learning in Robotics 2
- Text Readability and Simplification 2
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- Multimodal Machine Learning Applications 5
- Information Systems top 5%
- Software Engineering Research 3
- Co-authors
- Dan RothTim VieiraHannaneh HajishirziAida AminiRik Koncel-KedziorskiNate KushmanBenjamin Van DurmeCharles Chen
- Journals
- Transactions of the Association for Computational Linguistics (2 papers)Theory and applications of categories (2 papers)Algorithmica (1 paper)
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Subhro Roy
23 papers receiving 709 citations
Peers
Comparison fields: 5 of 52
- Artificial Intelligence 645
- Computer Vision and Pattern Recognition 137
- Information Systems 147
- Computational Theory and Mathematics 65
- Computer Science Applications 14
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 0 | |
| 2 | 2023 | 3 | |
| 3 | 2023 | 8 | |
| 4 | 2022 | 6 | |
| 5 | 2021 | 87 | |
| 6 | 2021 | 8 | |
| 7 | Task-Conditioned Variational Autoencoders for Learning Movement Primitives | 2019 | 4 |
| 8 | Inferring Task Goals and Constraints using Bayesian Nonparametric Inverse Reinforcement Learning | 2019 | 4 |
| 9 | 2019 | 6 | |
| 10 | Grounding Robot Plans from Natural Language Instructions with Incomplete World Knowledge | 2018 | 15 |
| 11 | 2018 | 58 | |
| 12 | 2017 | 60 | |
| 13 | 2016 | 121 | |
| 14 | 2016 | 20 | |
| 15 | 2016 | 5 | |
| 16 | 2015 | 165 | |
| 17 | Illinois CCG TAC 2015 Event Nugget, Entity Discovery and Linking, and Slot Filler Validation Systems | 2015 | 9 |
| 18 | 2015 | 85 | |
| 19 | 2014 | 30 | |
| 20 | Illinois Cognitive Computation Group UI-CCG TAC 2013 Entity Linking and Slot Filler Validation Systems | 2013 | 2 |
About Subhro Roy
Subhro Roy is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Graphics and Computer-Aided Design, having authored 25 papers that have together received 741 indexed citations. Recurring topics across this work include Topic Modeling (20 papers), Natural Language Processing Techniques (17 papers), Multimodal Machine Learning Applications (5 papers), Speech and dialogue systems (4 papers), Software Engineering Research (3 papers), AI-based Problem Solving and Planning (3 papers), Reinforcement Learning in Robotics (2 papers) and Text Readability and Simplification (2 papers). The work is most often cited by research in Artificial Intelligence (645 citations), Computer Vision and Pattern Recognition (137 citations) and Information Systems (147 citations). Subhro Roy has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Dan Roth, Tim Vieira, Hannaneh Hajishirzi, Aida Amini, Rik Koncel-Kedziorski, Nate Kushman, Benjamin Van Durme, Charles Chen, Rohan Paul and Adam Pauls. Their work appears in journals such as Transactions of the Association for Computational Linguistics, Theory and applications of categories, Algorithmica, The International Journal of Robotics Research and Results in Materials.
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.