Ranjay Krishna
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- Multimodal Machine Learning Applications 29
- Advanced Image and Video Retrieval Techniques 10
- Image Retrieval and Classification Techniques 8
- Human Pose and Action Recognition 6
- Video Analysis and Summarization 4
- Artificial Intelligence top 0.2%
- Domain Adaptation and Few-Shot Learning 11
- Topic Modeling 4
- Health Informatics top 2%
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- Mobile Crowdsensing and Crowdsourcing 4
- Human-Computer Interaction top 5%
- Co-authors
- Li Fei-FeiMichael S. BernsteinDavid A. ShammaLi-Jia LiKenji HataOliver GrothStephanie ChenYuke Zhu
- Journals
- Proceedings of the VLDB Endowment (3 papers)Proceedings of the ACM on Human-Computer Interaction (2 papers)Methods of Information in Medicine (1 paper)
- Partner nations
- United StatesNetherlandsIndia
In The Last Decade
Ranjay Krishna
45 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Computer Vision and Pattern Recognition 3.8k
- Artificial Intelligence 2.8k
- Health Informatics 59
- Computer Science Applications 85
- Human-Computer Interaction 68
Countries citing papers authored by Ranjay Krishna
This map shows the geographic impact of Ranjay 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 Ranjay Krishna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ranjay Krishna more than expected).
Fields of papers citing papers by Ranjay Krishna
This network shows the impact of papers produced by Ranjay 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 Ranjay Krishna. The network helps show where Ranjay Krishna may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ranjay Krishna, 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 | 2025 | 3 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 2 | |
| 5 | 2025 | 0 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 3 | |
| 8 | 2024 | 3 | |
| 9 | 2024 | 15 | |
| 10 | 2024 | 1 | |
| 11 | 2024 | 1 | |
| 12 | 2024 | 5 | |
| 13 | 2024 | 10 | |
| 14 | 2024 | 0 | |
| 15 | Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizesbreakdown → | 2023 | 108 |
| 16 | Explanations Can Reduce Overreliance on AI Systems During Decision-Makingbreakdown → | 2023 | 130 |
| 17 | 2021 | 30 | |
| 18 | HYPE: A Benchmark for Human eYe Perceptual Evaluation of Generative Models | 2019 | 10 |
| 19 | 2015 | 200 | |
| 20 | 2010 | 15 |
About Ranjay Krishna
Ranjay Krishna is a scholar working on Computer Vision and Pattern Recognition, Computer Science Applications and Artificial Intelligence, having authored 53 papers that have together received 4.7k indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (29 papers), Domain Adaptation and Few-Shot Learning (11 papers), Advanced Image and Video Retrieval Techniques (10 papers), Image Retrieval and Classification Techniques (8 papers), Human Pose and Action Recognition (6 papers), Topic Modeling (4 papers), Video Analysis and Summarization (4 papers) and Mobile Crowdsensing and Crowdsourcing (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (3.8k citations), Artificial Intelligence (2.8k citations) and Health Informatics (59 citations). Ranjay Krishna has collaborated with scholars based in United States, Netherlands and India. Frequent co-authors include Li Fei-Fei, Michael S. Bernstein, David A. Shamma, Li-Jia Li, Kenji Hata, Oliver Groth, Stephanie Chen, Yuke Zhu, Justin Johnson and Yannis Kalantidis. Their work appears in journals such as Proceedings of the VLDB Endowment, Proceedings of the ACM on Human-Computer Interaction, Methods of Information in Medicine, ACM Transactions on Computer-Human Interaction and International Journal of Computer Vision.
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.