Prabhat Prabhat
Impact in
- Hardware and Architecture top 10%
- Parallel Computing and Optimization Techniques
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- Advanced Neural Network Applications
Papers in
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- Stochastic Gradient Optimization Techniques 1
- Solar Radiation and Photovoltaics 1
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- Data Visualization and Analytics 1
- Co-authors
- Victor C. S. Lee (1 shared paper)Siyu He (1 shared paper)Diana Moise (1 shared paper)Tuomas Kärnä (1 shared paper)S. J. Pennycook (1 shared paper)Joan Bruna (1 shared paper)Michael F. Ringenburg (1 shared paper)Kristyn Maschhoff (1 shared paper)
- Journals
- Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE (1 paper)eScholarship (California Digital Library) (1 paper)OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (1 paper)
- Partner nations
- United StatesSwitzerlandIndia
In The Last Decade
Prabhat Prabhat
3 papers receiving 143 citations
Peers
Comparison fields: 5 of 41
- Hardware and Architecture 39
- Computer Vision and Pattern Recognition 57
- Nuclear and High Energy Physics 23
- Computational Mathematics 1
- Computer Networks and Communications 39
Countries citing papers authored by Prabhat Prabhat
This map shows the geographic impact of Prabhat Prabhat'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 Prabhat Prabhat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prabhat Prabhat more than expected).
Fields of papers citing papers by Prabhat Prabhat
This network shows the impact of papers produced by Prabhat Prabhat. 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 Prabhat Prabhat. The network helps show where Prabhat Prabhat may publish in the future.
Co-authors
The 25 scholars most cited alongside Prabhat Prabhat, 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 | 2018 | 76 | |
| 2 | 2018 | 37 | |
| 3 | 2018 | 32 | |
| 4 | 2013 | 0 | |
| 5 | 2024 | 0 |
About Prabhat Prabhat
Prabhat Prabhat is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Mechanics of Materials, Signal Processing and Computational Mechanics, having authored 5 papers that have together received 145 indexed citations. Recurring topics across this work include Stochastic Gradient Optimization Techniques (1 paper), Sparse and Compressive Sensing Techniques (1 paper), Metallurgy and Material Forming (1 paper), Neutrino Physics Research (1 paper), Solar Radiation and Photovoltaics (1 paper), Data Visualization and Analytics (1 paper), Time Series Analysis and Forecasting (1 paper) and Traffic Prediction and Management Techniques (1 paper). The work is most often cited by research in Hardware and Architecture (39 citations), Computer Vision and Pattern Recognition (57 citations), Nuclear and High Energy Physics (23 citations), Computational Mathematics (1 citation) and Computer Networks and Communications (39 citations). Prabhat Prabhat has collaborated with scholars based in United States, Switzerland and India. Frequent co-authors include Victor C. S. Lee, Siyu He, Diana Moise, Tuomas Kärnä, S. J. Pennycook, Joan Bruna, Michael F. Ringenburg, Kristyn Maschhoff, L. Gerhardt and Federico Monti. Their work appears in journals such as Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE, eScholarship (California Digital Library) and OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).
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.