Jayesh Krishna
Impact in
- Atmospheric Science top 10%
- Meteorological Phenomena and Simulations
- Tropical and Extratropical Cyclones Research
- Atmospheric chemistry and aerosols
- Global and Planetary Change top 10%
- Climate variability and models
- Atmospheric aerosols and clouds
- Atmospheric and Environmental Gas Dynamics
Papers in
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- Parallel Computing and Optimization Techniques 3
-
- Distributed and Parallel Computing Systems 3
- Advanced Data Storage Technologies 3
- Co-authors
- Pavan Balaji (2 shared papers)William Gropp (1 shared paper)Ewing Lusk (1 shared paper)Rajeev Thakur (2 shared papers)David Goodell (1 shared paper)Darius Buntinas (1 shared paper)Dmitry Ganyushin (1 shared paper)Kara Peterson (1 shared paper)
- Journals
- Journal of Advances in Modeling Earth Systems (2 papers)Lecture notes in computer science (2 papers)Advances in computational intelligence and robotics book series (1 paper)Procedia Computer Science (1 paper)
- Partner nations
- United StatesIndia
In The Last Decade
Jayesh Krishna
5 papers receiving 253 citations
Peers
Comparison fields: 5 of 41
- Atmospheric Science 153
- Global and Planetary Change 174
- Hardware and Architecture 38
- Computer Networks and Communications 45
- Oceanography 11
Countries citing papers authored by Jayesh Krishna
This map shows the geographic impact of Jayesh Krishna'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 Jayesh Krishna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jayesh Krishna more than expected).
Fields of papers citing papers by Jayesh Krishna
This network shows the impact of papers produced by Jayesh Krishna. 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 Jayesh Krishna. The network helps show where Jayesh Krishna may publish in the future.
Co-authors
The 18 scholars most cited alongside Jayesh Krishna, 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 | 2022 | 127 | |
| 2 | 2021 | 82 | |
| 3 | 2010 | 42 | |
| 4 | 2013 | 4 | |
| 5 | 2010 | 2 | |
| 6 | 2025 | 0 | |
| 7 | 2024 | 0 |
About Jayesh Krishna
Jayesh Krishna is a scholar working on Hardware and Architecture, Computer Networks and Communications, Atmospheric Science, Global and Planetary Change and Oceanography, having authored 7 papers that have together received 257 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (3 papers), Advanced Data Storage Technologies (3 papers), Parallel Computing and Optimization Techniques (3 papers), Meteorological Phenomena and Simulations (2 papers), Climate variability and models (2 papers), Tropical and Extratropical Cyclones Research (1 paper), Quantum Computing Algorithms and Architecture (1 paper) and Blockchain Technology Applications and Security (1 paper). The work is most often cited by research in Atmospheric Science (153 citations), Global and Planetary Change (174 citations), Hardware and Architecture (38 citations), Computer Networks and Communications (45 citations) and Oceanography (11 citations). Jayesh Krishna has collaborated with scholars based in United States and India. Frequent co-authors include Pavan Balaji, William Gropp, Ewing Lusk, Rajeev Thakur, David Goodell, Darius Buntinas, Dmitry Ganyushin, Kara Peterson, Mary Haley and Dennis Shea. Their work appears in journals such as Journal of Advances in Modeling Earth Systems, Lecture notes in computer science, Advances in computational intelligence and robotics book series and Procedia Computer Science.
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.