Sachit Menon
Impact in
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- Multimodal Machine Learning Applications
- Human Pose and Action Recognition
- Advanced Image and Video Retrieval Techniques
- Advanced Image Processing Techniques
- Video Analysis and Summarization
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- Topic Modeling
- Domain Adaptation and Few-Shot Learning
- Natural Language Processing Techniques
Papers in
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- Multimodal Machine Learning Applications 3
- Advanced Vision and Imaging 2
- Video Analysis and Summarization 1
- Advanced Image and Video Retrieval Techniques 1
- Advanced Neural Network Applications 1
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- Domain Adaptation and Few-Shot Learning 3
- Explainable Artificial Intelligence (XAI) 1
- Co-authors
- Carl Vondrick (4 shared papers)Dídac Surís (1 shared paper)Chengzhi Mao (2 shared papers)Xin Wang (1 shared paper)Cynthia Rudin (1 shared paper)Nikhil Ravi (1 shared paper)Junfeng Yang (1 shared paper)Shijia Hu (1 shared paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Sachit Menon
5 papers receiving 127 citations
Peers
Comparison fields: 5 of 33
- Computer Vision and Pattern Recognition 89
- Artificial Intelligence 69
- Health Informatics 2
- Media Technology 6
- Computer Graphics and Computer-Aided Design 2
Countries citing papers authored by Sachit Menon
This map shows the geographic impact of Sachit Menon'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 Sachit Menon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sachit Menon more than expected).
Fields of papers citing papers by Sachit Menon
This network shows the impact of papers produced by Sachit Menon. 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 Sachit Menon. The network helps show where Sachit Menon may publish in the future.
Co-authors
The 15 scholars most cited alongside Sachit Menon, 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 | 96 | |
| 2 | 2023 | 17 | |
| 3 | 2018 | 13 | |
| 4 | 2023 | 2 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 0 | |
| 7 | 2024 | 0 |
About Sachit Menon
Sachit Menon is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Literature and Literary Theory, Computational Mechanics and Media Technology, having authored 7 papers that have together received 129 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (3 papers), Multimodal Machine Learning Applications (3 papers), Advanced Vision and Imaging (2 papers), Video Analysis and Summarization (1 paper), Advanced Image and Video Retrieval Techniques (1 paper), Image Processing Techniques and Applications (1 paper), Advanced Neural Network Applications (1 paper) and Explainable Artificial Intelligence (XAI) (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (89 citations), Artificial Intelligence (69 citations), Health Informatics (2 citations), Media Technology (6 citations) and Computer Graphics and Computer-Aided Design (2 citations). Sachit Menon has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Carl Vondrick, Dídac Surís, Chengzhi Mao, Xin Wang, Cynthia Rudin, Nikhil Ravi, Junfeng Yang, Shijia Hu, Carl Vondrick and Ruoshi Liu. Their work appears in journals such as 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.