Kalpesh Krishna
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition
- Information Systems
- Health Informatics top 10%
- Molecular Biology
- Co-authors
- Mohit IyyerSewon MinHannaneh HajishirziXinxi LyuLuke ZettlemoyerMike LewisWen-tau YihPang Wei Koh
- Topics
- Topic Modeling (15 papers)Natural Language Processing Techniques (12 papers)Multimodal Machine Learning Applications (3 papers)
- Journals
- Indian Journal of EntomologyarXiv (Cornell University)Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Partner nations
- United StatesIndiaCanada
In The Last Decade
Kalpesh Krishna
17 papers receiving 192 citations
Peers
Comparison fields: 5 of 51
- Artificial Intelligence 155
- Computer Vision and Pattern Recognition 24
- Information Systems 22
- Health Informatics 12
- Molecular Biology 11
Countries citing papers authored by Kalpesh Krishna
This map shows the geographic impact of Kalpesh Krishna'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 Kalpesh Krishna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kalpesh Krishna more than expected).
Fields of papers citing papers by Kalpesh Krishna
This network shows the impact of papers produced by Kalpesh Krishna. 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 Kalpesh Krishna. The network helps show where Kalpesh Krishna may publish in the future.
Co-authorship network of co-authors of Kalpesh Krishna
This figure shows the co-authorship network connecting the top 25 collaborators of Kalpesh Krishna. A scholar is included among the top collaborators of Kalpesh Krishna 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 Kalpesh Krishna. Kalpesh Krishna is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 6 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 80 | |
| 6 | 1 | |
| 7 | 16 | |
| 8 | 4 | |
| 9 | 10 | |
| 10 | 18 | |
| 11 | 15 | |
| 12 | 1 | |
| 13 | 8 | |
| 14 | 6 | |
| 15 | 19 | |
| 16 | Thieves of Sesame Street: Model Extraction on BERT-based APIs | 9 |
| 17 | 2 |
About Kalpesh Krishna
Kalpesh Krishna is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Plant Science, having authored 17 papers that have together received 200 indexed citations. Recurring topics across this work include Topic Modeling (15 papers), Natural Language Processing Techniques (12 papers) and Multimodal Machine Learning Applications (3 papers). The work is most often cited by research in Health Informatics (12 citations), Artificial Intelligence (155 citations) and Computer Vision and Pattern Recognition (24 citations). Kalpesh Krishna has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Mohit Iyyer, Sewon Min, Hannaneh Hajishirzi, Xinxi Lyu, Luke Zettlemoyer, Mike Lewis, Wen-tau Yih, Pang Wei Koh, John Wieting and Simeng Sun. Their work appears in journals such as Indian Journal of Entomology, arXiv (Cornell 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.