Aditya Deshpande
- Computer Vision and Pattern Recognition top 5%
- Electrical and Electronic Engineering
- Renewable Energy, Sustainability and the Environment
- Artificial Intelligence
- Media Technology top 10%
- Co-authors
- David ForsythJason RockJiajun LuMin Jin ChongP. J. NarayananCaizhi ZhangYuxi SongMing‐Yong Han
- Topics
- Advanced Image and Video Retrieval Techniques (5 papers)Advanced Vision and Imaging (3 papers)Generative Adversarial Networks and Image Synthesis (2 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputer Graphics and Computer-Aided DesignMedia Technology
- Journals
- International Journal of Heat and Mass TransferJournal of Materials Processing TechnologyEngineering Fracture Mechanics
- Partner nations
- IndiaUnited KingdomUnited States
In The Last Decade
Aditya Deshpande
16 papers receiving 390 citations
Peers
Comparison fields: 5 of 52
- Computer Vision and Pattern Recognition 249
- Electrical and Electronic Engineering 74
- Renewable Energy, Sustainability and the Environment 55
- Artificial Intelligence 46
- Media Technology 39
Countries citing papers authored by Aditya Deshpande
This map shows the geographic impact of Aditya Deshpande'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 Deshpande with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aditya Deshpande more than expected).
Fields of papers citing papers by Aditya Deshpande
This network shows the impact of papers produced by Aditya Deshpande. 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 Deshpande. The network helps show where Aditya Deshpande may publish in the future.
Co-authorship network of co-authors of Aditya Deshpande
This figure shows the co-authorship network connecting the top 25 collaborators of Aditya Deshpande. A scholar is included among the top collaborators of Aditya Deshpande based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Aditya Deshpande. Aditya Deshpande is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 16 | |
| 3 | 62 | |
| 4 | 112 | |
| 5 | 127 | |
| 6 | 4 | |
| 7 | 19 | |
| 8 | 4 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 7 | |
| 12 | 17 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 12 | |
| 16 | 5 | |
| 17 | 4 | |
| 18 | 20 |
About Aditya Deshpande
Aditya Deshpande is a scholar working on Hardware and Architecture, Computer Vision and Pattern Recognition and Geology, having authored 18 papers that have together received 414 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (5 papers), Advanced Vision and Imaging (3 papers) and Generative Adversarial Networks and Image Synthesis (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (249 citations), Computer Graphics and Computer-Aided Design (25 citations) and Media Technology (39 citations). Aditya Deshpande has collaborated with scholars based in India, United Kingdom and United States. Frequent co-authors include David Forsyth, Jason Rock, Jiajun Lu, Min Jin Chong, P. J. Narayanan, Caizhi Zhang, Yuxi Song, Ming‐Yong Han, B.N. Singh and Ishan Misra. Their work appears in journals such as International Journal of Heat and Mass Transfer, Journal of Materials Processing Technology and Engineering Fracture Mechanics.
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.