Sumith Kulal
Impact in
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- Software Testing and Debugging Techniques
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- Human Pose and Action Recognition
- Video Analysis and Summarization
- Generative Adversarial Networks and Image Synthesis
Papers in
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- Human Pose and Action Recognition 3
- Video Analysis and Summarization 2
- Advanced Vision and Imaging 1
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- Logic, programming, and type systems 3
- Co-authors
- Alex Aiken (3 shared papers)Jiajun Wu (3 shared papers)Jiayuan Mao (2 shared papers)Viktor Kunčak (2 shared papers)Alexei A. Efros (1 shared paper)Tim Brooks (1 shared paper)K.K. Singh (1 shared paper)Shuicheng Yan (1 shared paper)
- Journals
- ACM SIGPLAN Notices (1 paper)Formal Methods in System Design (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)Zenodo (CERN European Organization for Nuclear Research) (1 paper)Infoscience (Ecole Polytechnique Fédérale de Lausanne) (1 paper)
- Partner nations
- United StatesIndiaSwitzerland
In The Last Decade
Sumith Kulal
7 papers receiving 43 citations
Peers
Comparison fields: 5 of 18
- Software 4
- Computer Vision and Pattern Recognition 18
- Computer Graphics and Computer-Aided Design 3
- Artificial Intelligence 21
- Computational Theory and Mathematics 9
Countries citing papers authored by Sumith Kulal
This map shows the geographic impact of Sumith Kulal'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 Sumith Kulal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sumith Kulal more than expected).
Fields of papers citing papers by Sumith Kulal
This network shows the impact of papers produced by Sumith Kulal. 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 Sumith Kulal. The network helps show where Sumith Kulal may publish in the future.
Co-authors
The 15 scholars most cited alongside Sumith Kulal, 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 | 12 | |
| 2 | 2016 | 11 | |
| 3 | 2021 | 10 | |
| 4 | 2022 | 5 | |
| 5 | 2017 | 2 | |
| 6 | 2018 | 2 | |
| 7 | 2020 | 1 |
About Sumith Kulal
Sumith Kulal is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computational Theory and Mathematics, Computer Networks and Communications and Control and Systems Engineering, having authored 7 papers that have together received 43 indexed citations. Recurring topics across this work include Logic, programming, and type systems (3 papers), Formal Methods in Verification (3 papers), Human Pose and Action Recognition (3 papers), Distributed systems and fault tolerance (2 papers), Video Analysis and Summarization (2 papers), Human Motion and Animation (2 papers), Software Testing and Debugging Techniques (1 paper) and Advanced Vision and Imaging (1 paper). The work is most often cited by research in Software (4 citations), Computer Vision and Pattern Recognition (18 citations), Computer Graphics and Computer-Aided Design (3 citations), Artificial Intelligence (21 citations) and Computational Theory and Mathematics (9 citations). Sumith Kulal has collaborated with scholars based in United States, India and Switzerland. Frequent co-authors include Alex Aiken, Jiajun Wu, Jiayuan Mao, Viktor Kunčak, Alexei A. Efros, Tim Brooks, K.K. Singh, Shuicheng Yan, Jingwan Lu and Supratik Chakraborty. Their work appears in journals such as ACM SIGPLAN Notices, Formal Methods in System Design, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Zenodo (CERN European Organization for Nuclear Research) and Infoscience (Ecole Polytechnique Fédérale de Lausanne).
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.