Rupesh Durgesh
Impact in
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- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Video Surveillance and Tracking Methods
- Multimodal Machine Learning Applications
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- Autonomous Vehicle Technology and Safety
Papers in
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- Gamma-ray bursts and supernovae 3
- Galaxies: Formation, Evolution, Phenomena 1
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- Astronomy and Astrophysical Research 2
- Co-authors
- Thomas Unterthiner (1 shared paper)Andreas Mayr (1 shared paper)Bernhard Nessler (1 shared paper)Sepp Hochreiter (1 shared paper)Martin Heusel (1 shared paper)Markus Hofmarcher (1 shared paper)Jose A. Arjona-Medina (1 shared paper)Michael Widrich (1 shared paper)
- Journals
- Astronomy and Astrophysics (2 papers)Monthly Notices of the Royal Astronomical Society (2 papers)
- Partner nations
- United KingdomPortugalUnited States
In The Last Decade
Rupesh Durgesh
5 papers receiving 169 citations
Peers
Comparison fields: 5 of 45
- Computer Vision and Pattern Recognition 136
- Automotive Engineering 22
- Artificial Intelligence 53
- Environmental Engineering 16
- Industrial and Manufacturing Engineering 9
Countries citing papers authored by Rupesh Durgesh
This map shows the geographic impact of Rupesh Durgesh'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 Rupesh Durgesh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rupesh Durgesh more than expected).
Fields of papers citing papers by Rupesh Durgesh
This network shows the impact of papers produced by Rupesh Durgesh. 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 Rupesh Durgesh. The network helps show where Rupesh Durgesh may publish in the future.
Co-authors
The 22 scholars most cited alongside Rupesh Durgesh, 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 | Speeding up Semantic Segmentation for Autonomous Driving | 2016 | 165 |
| 2 | 2023 | 6 | |
| 3 | 2024 | 2 | |
| 4 | 2025 | 1 | |
| 5 | 2024 | 1 |
About Rupesh Durgesh
Rupesh Durgesh is a scholar working on Astronomy and Astrophysics, Instrumentation, Nuclear and High Energy Physics, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 5 papers that have together received 175 indexed citations. Recurring topics across this work include Gamma-ray bursts and supernovae (3 papers), Astronomy and Astrophysical Research (2 papers), Astrophysics and Cosmic Phenomena (2 papers), Particle Detector Development and Performance (1 paper), Galaxies: Formation, Evolution, Phenomena (1 paper), Advanced Vision and Imaging (1 paper), Advanced Image Processing Techniques (1 paper) and Domain Adaptation and Few-Shot Learning (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (136 citations), Automotive Engineering (22 citations), Artificial Intelligence (53 citations), Environmental Engineering (16 citations) and Industrial and Manufacturing Engineering (9 citations). Rupesh Durgesh has collaborated with scholars based in United Kingdom, Portugal and United States. Frequent co-authors include Thomas Unterthiner, Andreas Mayr, Bernhard Nessler, Sepp Hochreiter, Martin Heusel, Markus Hofmarcher, Jose A. Arjona-Medina, Michael Widrich, Rafael S. de Souza and A. Krone-Martins. Their work appears in journals such as Astronomy and Astrophysics and Monthly Notices of the Royal Astronomical Society.
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.