Evan Harvey
Impact in
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
- Embedded Systems Design Techniques
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- Distributed and Parallel Computing Systems
- Advanced Data Storage Technologies
Papers in
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- Advanced Data Storage Technologies 2
- Distributed and Parallel Computing Systems 1
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- Parallel Computing and Optimization Techniques 2
- Co-authors
- Jonathan Madsen (1 shared paper)Rahulkumar Gayatri (1 shared paper)Amy Powell (1 shared paper)Dan Sunderland (1 shared paper)Daniel Ibanez (1 shared paper)Nathan Ellingwood (1 shared paper)Vinh Dang (1 shared paper)Jan Ciesko (1 shared paper)
- Journals
- IEEE Transactions on Parallel and Distributed Systems (1 paper)OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (1 paper)
- Partner nations
- United StatesSwitzerland
In The Last Decade
Evan Harvey
1 paper receiving 232 citations
Evan Harvey's Hit Papers
Peers
Comparison fields: 5 of 54
- Hardware and Architecture 101
- Computer Networks and Communications 92
- Computational Mathematics 2
- Nuclear and High Energy Physics 27
- Computer Graphics and Computer-Aided Design 7
Countries citing papers authored by Evan Harvey
This map shows the geographic impact of Evan Harvey'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 Evan Harvey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Evan Harvey more than expected).
Fields of papers citing papers by Evan Harvey
This network shows the impact of papers produced by Evan Harvey. 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 Evan Harvey. The network helps show where Evan Harvey may publish in the future.
Co-authors
The 19 scholars most cited alongside Evan Harvey, 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 | Kokkos 3: Programming Model Extensions for the Exascale Era Hit paper breakdown → | 2021 | 240 |
| 2 | 2022 | 0 |
About Evan Harvey
Evan Harvey is a scholar working on Computer Networks and Communications, Hardware and Architecture, Computational Theory and Mathematics, Infectious Diseases and Organic Chemistry, having authored 2 papers that have together received 240 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (2 papers), Advanced Data Storage Technologies (2 papers), Distributed and Parallel Computing Systems (1 paper) and Numerical Methods and Algorithms (1 paper). The work is most often cited by research in Hardware and Architecture (101 citations), Computer Networks and Communications (92 citations), Computational Mathematics (2 citations), Nuclear and High Energy Physics (27 citations) and Computer Graphics and Computer-Aided Design (7 citations). Evan Harvey has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Jonathan Madsen, Rahulkumar Gayatri, Amy Powell, Dan Sunderland, Daniel Ibanez, Nathan Ellingwood, Vinh Dang, Jan Ciesko, Nevin Liber and Christian Robert Trott. Their work appears in journals such as IEEE Transactions on Parallel and Distributed Systems 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.