Jeff Larkin
Impact in
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
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- Advanced Data Storage Technologies
- Distributed and Parallel Computing Systems
Papers in
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- Distributed and Parallel Computing Systems 5
- Advanced Data Storage Technologies 2
-
- Physics of Superconductivity and Magnetism 4
- Co-authors
- Mark R. Fahey (2 shared papers)Ramanan Sankaran (2 shared papers)Sadaf R. Alam (1 shared paper)Richard Frederick Barrett (1 shared paper)Patrick H Worley (1 shared paper)Richard Archibald (2 shared papers)Jun Zhou (1 shared paper)Josh V. Vermaas (2 shared papers)
- Journals
- The International Journal of High Performance Computing Applications (2 papers)Computer Physics Communications (1 paper)Computers & Electrical Engineering (1 paper)Computing in Science & Engineering (1 paper)IEEE International Conference on High Performance Computing, Data, and Analytics (1 paper)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Jeff Larkin
15 papers receiving 282 citations
Peers
Comparison fields: 5 of 59
- Hardware and Architecture 97
- Computer Networks and Communications 116
- Geophysics 40
- Information Systems and Management 20
- Computational Theory and Mathematics 35
Countries citing papers authored by Jeff Larkin
This map shows the geographic impact of Jeff Larkin'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 Jeff Larkin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeff Larkin more than expected).
Fields of papers citing papers by Jeff Larkin
This network shows the impact of papers produced by Jeff Larkin. 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 Jeff Larkin. The network helps show where Jeff Larkin may publish in the future.
Co-authors
The 25 scholars most cited alongside Jeff Larkin, 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 | 2013 | 60 | |
| 2 | 2007 | 49 | |
| 3 | 2012 | 30 | |
| 4 | 2021 | 26 | |
| 5 | 2008 | 22 | |
| 6 | 2020 | 22 | |
| 7 | 2015 | 17 | |
| 8 | 2016 | 16 | |
| 9 | 2022 | 16 | |
| 10 | 2009 | 12 | |
| 11 | 2008 | 11 | |
| 12 | 2020 | 7 | |
| 13 | Remote Software Toolkit Installer | 2005 | 4 |
| 14 | 2020 | 1 | |
| 15 | 2008 | 1 |
About Jeff Larkin
Jeff Larkin is a scholar working on Computer Networks and Communications, Condensed Matter Physics, Hardware and Architecture, Atmospheric Science and Molecular Biology, having authored 15 papers that have together received 294 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (5 papers), Physics of Superconductivity and Magnetism (4 papers), Parallel Computing and Optimization Techniques (4 papers), Meteorological Phenomena and Simulations (3 papers), Computational Drug Discovery Methods (2 papers), Advanced Data Storage Technologies (2 papers), Superconducting Materials and Applications (2 papers) and Genetics, Bioinformatics, and Biomedical Research (1 paper). The work is most often cited by research in Hardware and Architecture (97 citations), Computer Networks and Communications (116 citations), Geophysics (40 citations), Information Systems and Management (20 citations) and Computational Theory and Mathematics (35 citations). Jeff Larkin has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Mark R. Fahey, Ramanan Sankaran, Sadaf R. Alam, Richard Frederick Barrett, Patrick H Worley, Richard Archibald, Jun Zhou, Josh V. Vermaas, Markus Eisenbach and Y. Cui. Their work appears in journals such as The International Journal of High Performance Computing Applications, Computer Physics Communications, Computers & Electrical Engineering, Computing in Science & Engineering and IEEE International Conference on High Performance Computing, Data, and Analytics.
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.