Ananth Agarwal
Impact in
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- Natural Language Processing Techniques
- Topic Modeling
- Adversarial Robustness in Machine Learning
- Multi-Agent Systems and Negotiation
Papers in
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- Multimodal Machine Learning Applications 1
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- Freezing and Crystallization Processes 1
- Co-authors
- Chelsea Finn (1 shared paper)Eric Mitchell (1 shared paper)Christopher D. Manning (1 shared paper)Will J. Armstrong (1 shared paper)Joseph J. Noh (1 shared paper)Patrick Liu (1 shared paper)T. C. Manjunath (1 shared paper)
- Journals
- International Journal of Engineering Technology and Management Sciences (1 paper)
- Partner nations
- United States
In The Last Decade
Ananth Agarwal
1 paper receiving 13 citations
Peers
Comparison fields: 5 of 6
- Artificial Intelligence 10
- Law 1
- Developmental and Educational Psychology 1
- Cognitive Neuroscience 1
- Computer Vision and Pattern Recognition 1
Countries citing papers authored by Ananth Agarwal
This map shows the geographic impact of Ananth Agarwal'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 Ananth Agarwal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ananth Agarwal more than expected).
Fields of papers citing papers by Ananth Agarwal
This network shows the impact of papers produced by Ananth Agarwal. 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 Ananth Agarwal. The network helps show where Ananth Agarwal may publish in the future.
Co-authors
The 7 scholars most cited alongside Ananth Agarwal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
About Ananth Agarwal
Ananth Agarwal is a scholar working on Computer Vision and Pattern Recognition, Mechanics of Materials, Artificial Intelligence, Infectious Diseases and Organic Chemistry, having authored 2 papers that have together received 13 indexed citations. Recurring topics across this work include Freezing and Crystallization Processes (1 paper), Topic Modeling (1 paper), Natural Language Processing Techniques (1 paper) and Multimodal Machine Learning Applications (1 paper). The work is most often cited by research in Artificial Intelligence (10 citations), Law (1 citation), Developmental and Educational Psychology (1 citation), Cognitive Neuroscience (1 citation) and Computer Vision and Pattern Recognition (1 citation). Ananth Agarwal has collaborated with scholars based in United States. Frequent co-authors include Chelsea Finn, Eric Mitchell, Christopher D. Manning, Will J. Armstrong, Joseph J. Noh, Patrick Liu and T. C. Manjunath. Their work appears in journals such as International Journal of Engineering Technology and Management Sciences.
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.