Aditya Ramesh
Impact in
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- Mobile Crowdsensing and Crowdsourcing
- Artificial Intelligence top 10%
- Privacy-Preserving Technologies in Data
- Data Stream Mining Techniques
- Domain Adaptation and Few-Shot Learning
Papers in
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- Generative Adversarial Networks and Image Synthesis 2
- Advanced Image Processing Techniques 2
- Image and Signal Denoising Methods 2
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- Anomaly Detection Techniques and Applications 1
- Co-authors
- Héctor García-Molina (1 shared paper)Aditya Parameswaran (1 shared paper)Neoklis Polyzotis (1 shared paper)Hyun Jung Park (1 shared paper)Jennifer Widom (1 shared paper)Yann LeCun (1 shared paper)Michaël Mathieu (1 shared paper)Junbo Zhao (1 shared paper)
- Journals
- Proceedings of the ACM on Human-Computer Interaction (1 paper)Biomedical Signal Processing and Control (1 paper)The VLDB Journal (1 paper)Proceedings of the VLDB Endowment (1 paper)PLoS Genetics (1 paper)
- Partner nations
- United StatesIndiaSwitzerland
In The Last Decade
Aditya Ramesh
15 papers receiving 410 citations
Peers
Comparison fields: 5 of 81
- Computer Science Applications 158
- Artificial Intelligence 210
- Health Informatics 7
- Computer Vision and Pattern Recognition 112
- Management Science and Operations Research 59
Countries citing papers authored by Aditya Ramesh
This map shows the geographic impact of Aditya Ramesh'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 Aditya Ramesh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aditya Ramesh more than expected).
Fields of papers citing papers by Aditya Ramesh
This network shows the impact of papers produced by Aditya Ramesh. 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 Aditya Ramesh. The network helps show where Aditya Ramesh may publish in the future.
Co-authors
The 25 scholars most cited alongside Aditya Ramesh, 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 | 2012 | 176 | |
| 2 | 2016 | 102 | |
| 3 | 2013 | 53 | |
| 4 | 2023 | 32 | |
| 5 | 2018 | 17 | |
| 6 | Distribution Augmentation for Generative Modeling | 2020 | 8 |
| 7 | 2023 | 8 | |
| 8 | 2020 | 7 | |
| 9 | Zero-Shot Text-to-Image Generation | 2021 | 7 |
| 10 | 2023 | 3 | |
| 11 | 2011 | 2 | |
| 12 | 2012 | 2 | |
| 13 | 2013 | 2 | |
| 14 | 2017 | 1 | |
| 15 | Performance Comparison and Evaluation of Proactive, Reactive and Hybrid Routing Protocols in MANET | 2014 | 1 |
| 16 | 2018 | 0 |
About Aditya Ramesh
Aditya Ramesh is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications, Information Systems and Cognitive Neuroscience, having authored 16 papers that have together received 421 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (2 papers), Generative Adversarial Networks and Image Synthesis (2 papers), Data Management and Algorithms (2 papers), Advanced Image Processing Techniques (2 papers), Image and Signal Denoising Methods (2 papers), EEG and Brain-Computer Interfaces (2 papers), Cooperative Communication and Network Coding (1 paper) and Anomaly Detection Techniques and Applications (1 paper). The work is most often cited by research in Computer Science Applications (158 citations), Artificial Intelligence (210 citations), Health Informatics (7 citations), Computer Vision and Pattern Recognition (112 citations) and Management Science and Operations Research (59 citations). Aditya Ramesh has collaborated with scholars based in United States, India and Switzerland. Frequent co-authors include Héctor García-Molina, Aditya Parameswaran, Neoklis Polyzotis, Hyun Jung Park, Jennifer Widom, Yann LeCun, Michaël Mathieu, Junbo Zhao, Pablo Sprechmann and Nikola Banović. Their work appears in journals such as Proceedings of the ACM on Human-Computer Interaction, Biomedical Signal Processing and Control, The VLDB Journal, Proceedings of the VLDB Endowment and PLoS Genetics.
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.