Ashwin Kalyan
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
- Artificial Intelligence top 10%
- Topic Modeling
- Natural Language Processing Techniques
- AI in Service Interactions
- Explainable Artificial Intelligence (XAI)
Papers in
-
- Natural Language Processing Techniques 5
- Topic Modeling 5
- Machine Learning and Data Classification 2
- Sentiment Analysis and Opinion Mining 1
- Co-authors
- Tanmay Rajpurohit (8 shared papers)Karthik Narasimhan (6 shared papers)Chitta Baral (2 shared papers)Peter Clark (2 shared papers)Swaroop Mishra (2 shared papers)Arindam Mitra (1 shared paper)Neeraj Varshney (1 shared paper)Peter E. Clark (2 shared papers)
- Journals
- Frontiers in Big Data (1 paper)ACM Computing Surveys (1 paper)International Conference on Learning Representations (1 paper)Monash University Research Portal (Monash University) (1 paper)Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (1 paper)
- Partner nations
- United StatesUnited KingdomIndia
In The Last Decade
Ashwin Kalyan
13 papers receiving 205 citations
Peers
Comparison fields: 5 of 52
- Health Informatics 18
- Artificial Intelligence 150
- Safety Research 24
- Human-Computer Interaction 13
- Theoretical Computer Science 2
Countries citing papers authored by Ashwin Kalyan
This map shows the geographic impact of Ashwin Kalyan'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 Ashwin Kalyan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ashwin Kalyan more than expected).
Fields of papers citing papers by Ashwin Kalyan
This network shows the impact of papers produced by Ashwin Kalyan. 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 Ashwin Kalyan. The network helps show where Ashwin Kalyan may publish in the future.
Co-authors
The 25 scholars most cited alongside Ashwin Kalyan, 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 | 80 | |
| 2 | 2022 | 29 | |
| 3 | 2022 | 25 | |
| 4 | 2023 | 20 | |
| 5 | 2023 | 13 | |
| 6 | 2023 | 11 | |
| 7 | 2023 | 11 | |
| 8 | 2025 | 10 | |
| 9 | Neural-Guided Deductive Search for Real-Time Program Synthesis from Examples | 2018 | 8 |
| 10 | 2023 | 2 | |
| 11 | 2025 | 1 | |
| 12 | Learn from Your Neighbor: Learning Multi-modal Mappings from Sparse Annotations | 2018 | 1 |
| 13 | 2024 | 1 |
About Ashwin Kalyan
Ashwin Kalyan is a scholar working on Artificial Intelligence, Information Systems, Human-Computer Interaction, Social Psychology and Computer Vision and Pattern Recognition, having authored 13 papers that have together received 212 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (5 papers), Topic Modeling (5 papers), Machine Learning and Data Classification (2 papers), Mental Health via Writing (1 paper), Multimodal Machine Learning Applications (1 paper), Persona Design and Applications (1 paper), Ethics and Social Impacts of AI (1 paper) and Sentiment Analysis and Opinion Mining (1 paper). The work is most often cited by research in Health Informatics (18 citations), Artificial Intelligence (150 citations), Safety Research (24 citations), Human-Computer Interaction (13 citations) and Theoretical Computer Science (2 citations). Ashwin Kalyan has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Tanmay Rajpurohit, Karthik Narasimhan, Chitta Baral, Peter Clark, Swaroop Mishra, Arindam Mitra, Neeraj Varshney, Peter E. Clark, Amit Sheth and Ekin Akyürek. Their work appears in journals such as Frontiers in Big Data, ACM Computing Surveys, International Conference on Learning Representations, Monash University Research Portal (Monash University) and Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).
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.