Aditya Ramesh
- Artificial Intelligence top 10%
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- Generative Adversarial Networks and Image Synthesis 2
- Image and Signal Denoising Methods 1
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- Advanced Database Systems and Queries 2
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- EEG and Brain-Computer Interfaces 2
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- Data Management and Algorithms 2
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- ECG Monitoring and Analysis 1
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- Genetic Associations and Epidemiology 1
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- Software Engineering Research 1
- Co-authors
- Jennifer WidomAditya ParameswaranNeoklis PolyzotisHéctor García-MolinaHyun Jung ParkPablo SprechmannYann LeCunJunbo Zhao
- Cited by
- Computer Science ApplicationsArtificial IntelligenceComputer Vision and Pattern Recognition
- Journals
- Proceedings of the ACM on Human-Computer Interaction (1 paper)PLoS Genetics (1 paper)Biomedical Signal Processing and Control (1 paper)
- Partner nations
- United StatesIndiaSwitzerland
In The Last Decade
Aditya Ramesh
14 papers receiving 376 citations
Peers
Comparison fields: 5 of 80
- Computer Science Applications 146
- Artificial Intelligence 195
- Computer Vision and Pattern Recognition 101
- Management Science and Operations Research 56
- Health Informatics 6
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-authorship network
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 | 2023 | 2 | |
| 2 | 2023 | 27 | |
| 3 | 2023 | 8 | |
| 4 | Zero-Shot Text-to-Image Generation | 2021 | 6 |
| 5 | Distribution Augmentation for Generative Modeling | 2020 | 8 |
| 6 | 2020 | 5 | |
| 7 | 2018 | 15 | |
| 8 | 2016 | 95 | |
| 9 | Performance Comparison and Evaluation of Proactive, Reactive and Hybrid Routing Protocols in MANET | 2014 | 1 |
| 10 | 2013 | 2 | |
| 11 | 2013 | 50 | |
| 12 | 2012 | 2 | |
| 13 | 2012 | 164 | |
| 14 | 2011 | 2 |
About Aditya Ramesh
Aditya Ramesh is a scholar working on General Decision Sciences, Computer Graphics and Computer-Aided Design, Signal Processing, Computer Science Applications and Gastroenterology, having authored 14 papers that have together received 387 indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (2 papers), Advanced Database Systems and Queries (2 papers), EEG and Brain-Computer Interfaces (2 papers), Data Management and Algorithms (2 papers), ECG Monitoring and Analysis (1 paper), Image and Signal Denoising Methods (1 paper), Genetic Associations and Epidemiology (1 paper) and Software Engineering Research (1 paper). The work is most often cited by research in Computer Science Applications (146 citations), Artificial Intelligence (195 citations), Computer Vision and Pattern Recognition (101 citations), Management Science and Operations Research (56 citations) and Health Informatics (6 citations). Aditya Ramesh has collaborated with scholars based in United States, India and Switzerland. Frequent co-authors include Jennifer Widom, Aditya Parameswaran, Neoklis Polyzotis, Héctor García-Molina, Hyun Jung Park, Pablo Sprechmann, Yann LeCun, Junbo Zhao, Michaël Mathieu and Atul J. Butte. Their work appears in journals such as Proceedings of the ACM on Human-Computer Interaction, PLoS Genetics, Biomedical Signal Processing and Control, The VLDB Journal and Proceedings of the VLDB Endowment.
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.