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 6
- Topic Modeling 6
- Machine Learning and Data Classification 2
- Multi-Agent Systems and Negotiation 1
- Evolutionary Algorithms and Applications 1
- Co-authors
- Tanmay Rajpurohit (8 shared papers)Karthik Narasimhan (6 shared papers)Ameet Deshpande (6 shared papers)Swaroop Ranjan Mishra (3 shared papers)Chitta R. Baral (2 shared papers)Peter A. Clark (2 shared papers)Peter E. Clark (3 shared papers)Arindam Mitra (1 shared paper)
- Journals
- ACM Computing Surveys (1 paper)Frontiers in Big Data (1 paper)Monash University Research Portal (Monash University) (1 paper)International Conference on Machine Learning (1 paper)International Conference on Learning Representations (1 paper)
- Partner nations
- United StatesGermanyIndia
In The Last Decade
Ashwin Kalyan
16 papers receiving 304 citations
Peers
Comparison fields: 5 of 56
- Health Informatics 19
- Artificial Intelligence 184
- Safety Research 25
- Human-Computer Interaction 14
- Computer Science Applications 10
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 | 105 | |
| 2 | 2022 | 35 | |
| 3 | 2022 | 29 | |
| 4 | 2023 | 26 | |
| 5 | 2025 | 21 | |
| 6 | 2023 | 17 | |
| 7 | 2023 | 17 | |
| 8 | 2023 | 16 | |
| 9 | 2022 | 16 | |
| 10 | Neural-Guided Deductive Search for Real-Time Program Synthesis from Examples | 2018 | 11 |
| 11 | 2024 | 10 | |
| 12 | 2023 | 3 | |
| 13 | 2025 | 2 | |
| 14 | ADAPTIVE GENERATION OF PROGRAMMING PUZZLES | 2019 | 1 |
| 15 | Learn from Your Neighbor: Learning Multi-modal Mappings from Sparse Annotations | 2018 | 1 |
| 16 | 2021 | 1 |
About Ashwin Kalyan
Ashwin Kalyan is a scholar working on Artificial Intelligence, Human-Computer Interaction, Health Informatics, Information Systems and Hardware and Architecture, having authored 16 papers that have together received 311 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (6 papers), Topic Modeling (6 papers), Machine Learning and Data Classification (2 papers), Mental Health via Writing (1 paper), Software Engineering Research (1 paper), Ethics and Social Impacts of AI (1 paper), Multi-Agent Systems and Negotiation (1 paper) and Evolutionary Algorithms and Applications (1 paper). The work is most often cited by research in Health Informatics (19 citations), Artificial Intelligence (184 citations), Safety Research (25 citations), Human-Computer Interaction (14 citations) and Computer Science Applications (10 citations). Ashwin Kalyan has collaborated with scholars based in United States, Germany and India. Frequent co-authors include Tanmay Rajpurohit, Karthik Narasimhan, Ameet Deshpande, Swaroop Ranjan Mishra, Chitta R. Baral, Peter A. Clark, Peter E. Clark, Arindam Mitra, Neeraj Varshney and Oyvind Tafjord. Their work appears in journals such as ACM Computing Surveys, Frontiers in Big Data, Monash University Research Portal (Monash University), International Conference on Machine Learning and International Conference on Learning Representations.
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.