Scott Klasky
Impact in
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- Scientific Computing and Data Management
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
Papers in
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- Parallel Computing and Optimization Techniques 16
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- Scientific Computing and Data Management 15
- Co-authors
- Matthew WolfKarsten SchwanHasan AbbasiGreg EisenhauerAuroop R. GangulyAnthony StefanidisShashi ShekharRanga Raju Vatsavai
- Journals
- Physics of Plasmas (3 papers)SIAM Journal on Scientific Computing (1 paper)IEEE Transactions on Big Data (1 paper)ACM SIGMETRICS Performance Evaluation Review (1 paper)The International Journal of High Performance Computing Applications (1 paper)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Scott Klasky
49 papers receiving 629 citations
Peers
Comparison fields: 5 of 78
- Information Systems and Management 164
- Hardware and Architecture 135
- Computer Networks and Communications 380
- Nuclear and High Energy Physics 101
- Information Systems 128
Countries citing papers authored by Scott Klasky
This map shows the geographic impact of Scott Klasky'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 Scott Klasky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Scott Klasky more than expected).
Fields of papers citing papers by Scott Klasky
This network shows the impact of papers produced by Scott Klasky. 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 Scott Klasky. The network helps show where Scott Klasky may publish in the future.
Co-authors
The 25 scholars most cited alongside Scott Klasky, 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 | 2025 | 1 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 0 | |
| 6 | 2021 | 16 | |
| 7 | 2020 | 13 | |
| 8 | 2019 | 9 | |
| 9 | 2017 | 34 | |
| 10 | 2016 | 1 | |
| 11 | 2015 | 4 | |
| 12 | 2013 | 16 | |
| 13 | 2011 | 4 | |
| 14 | 2011 | 13 | |
| 15 | 2011 | 5 | |
| 16 | Terascale direct numerical simulations of turbulent combustion using S3D. | 2008 | 2 |
| 17 | 2006 | 6 | |
| 18 | 2005 | 9 | |
| 19 | 2003 | 40 | |
| 20 | 1991 | 7 |
About Scott Klasky
Scott Klasky is a scholar working on Hardware and Architecture, Information Systems and Management, Computer Networks and Communications, Nuclear and High Energy Physics and Astronomy and Astrophysics, having authored 52 papers that have together received 648 indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (34 papers), Distributed and Parallel Computing Systems (26 papers), Parallel Computing and Optimization Techniques (16 papers), Scientific Computing and Data Management (15 papers), Magnetic confinement fusion research (9 papers), Ionosphere and magnetosphere dynamics (5 papers), Laser-Plasma Interactions and Diagnostics (4 papers) and Particle accelerators and beam dynamics (3 papers). The work is most often cited by research in Information Systems and Management (164 citations), Hardware and Architecture (135 citations), Computer Networks and Communications (380 citations), Nuclear and High Energy Physics (101 citations) and Information Systems (128 citations). Scott Klasky has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Matthew Wolf, Karsten Schwan, Hasan Abbasi, Greg Eisenhauer, Auroop R. Ganguly, Anthony Stefanidis, Shashi Shekhar, Ranga Raju Vatsavai, Manish Parashar and Zhihong Lin. Their work appears in journals such as Physics of Plasmas, SIAM Journal on Scientific Computing, IEEE Transactions on Big Data, ACM SIGMETRICS Performance Evaluation Review and The International Journal of High Performance Computing Applications.
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.