Ashwin Kalyan
- Artificial Intelligence top 10%
- Information Systems
- Computer Vision and Pattern Recognition
- Safety Research
- Health Informatics top 10%
- Co-authors
- Tanmay RajpurohitKarthik NarasimhanSwaroop MishraChitta BaralPeter ClarkPeter E. ClarkNeeraj VarshneyArindam Mitra
- Topics
- Topic Modeling (5 papers)Natural Language Processing Techniques (5 papers)Machine Learning and Data Classification (2 papers)
- Journals
- ACM Computing SurveysFrontiers in Big DataMonash University Research Portal (Monash University)
- Partner nations
- United StatesUnited KingdomIndia
In The Last Decade
Ashwin Kalyan
13 papers receiving 205 citations
Peers
Comparison fields: 5 of 52
- Artificial Intelligence 150
- Information Systems 27
- Computer Vision and Pattern Recognition 25
- Safety Research 24
- Health Informatics 18
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-authorship network of co-authors of Ashwin Kalyan
This figure shows the co-authorship network connecting the top 25 collaborators of Ashwin Kalyan. A scholar is included among the top collaborators of Ashwin Kalyan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ashwin Kalyan. Ashwin Kalyan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 10 | |
| 3 | 1 | |
| 4 | 13 | |
| 5 | 80 | |
| 6 | 20 | |
| 7 | 2 | |
| 8 | 11 | |
| 9 | 11 | |
| 10 | 25 | |
| 11 | 29 | |
| 12 | Learn from Your Neighbor: Learning Multi-modal Mappings from Sparse Annotations | 1 |
| 13 | Neural-Guided Deductive Search for Real-Time Program Synthesis from Examples | 8 |
About Ashwin Kalyan
Ashwin Kalyan is a scholar working on Health Informatics, Human-Computer Interaction and Artificial Intelligence, having authored 13 papers that have together received 212 indexed citations. Recurring topics across this work include Topic Modeling (5 papers), Natural Language Processing Techniques (5 papers) and Machine Learning and Data Classification (2 papers). The work is most often cited by research in Health Informatics (18 citations), Artificial Intelligence (150 citations) and Safety Research (24 citations). Ashwin Kalyan has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Tanmay Rajpurohit, Karthik Narasimhan, Swaroop Mishra, Chitta Baral, Peter Clark, Peter E. Clark, Neeraj Varshney, Arindam Mitra, Niket Tandon and Wenhao Yu. Their work appears in journals such as ACM Computing Surveys, Frontiers in Big Data and Monash University Research Portal (Monash University).
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.