John Cazes
Impact in
- Hardware and Architecture top 10%
- Parallel Computing and Optimization Techniques
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- Advanced Data Storage Technologies
- Distributed and Parallel Computing Systems
- Interconnection Networks and Systems
Papers in
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- Advanced Data Storage Technologies 6
- Distributed and Parallel Computing Systems 4
-
- Parallel Computing and Optimization Techniques 6
- Co-authors
- Joel E. Tohline (4 shared papers)Howard S. Cohl (2 shared papers)Eric I. Barnes (1 shared paper)Lars Koesterke (4 shared papers)Kent Milfeld (3 shared papers)D. A. Browne (1 shared paper)A. Rau (1 shared paper)S. Sanielevici (1 shared paper)
- Journals
- Bioinformatics (1 paper)New Astronomy (1 paper)The Astrophysical Journal (1 paper)Physical Review A (1 paper)Lecture notes in computer science (3 papers)
- Partner nations
- United StatesGermany
In The Last Decade
John Cazes
14 papers receiving 165 citations
Peers
Comparison fields: 5 of 64
- Hardware and Architecture 48
- Computer Networks and Communications 60
- Astronomy and Astrophysics 35
- Information Systems and Management 11
- Atomic and Molecular Physics, and Optics 24
Countries citing papers authored by John Cazes
This map shows the geographic impact of John Cazes'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 John Cazes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Cazes more than expected).
Fields of papers citing papers by John Cazes
This network shows the impact of papers produced by John Cazes. 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 John Cazes. The network helps show where John Cazes may publish in the future.
Co-authors
The 25 scholars most cited alongside John Cazes, 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 | 2001 | 42 | |
| 2 | 2016 | 27 | |
| 3 | 2000 | 21 | |
| 4 | 2011 | 21 | |
| 5 | 2016 | 19 | |
| 6 | 2014 | 14 | |
| 7 | 2014 | 13 | |
| 8 | 1999 | 4 | |
| 9 | 2021 | 4 | |
| 10 | 2023 | 3 | |
| 11 | 2005 | 3 | |
| 12 | 2017 | 2 | |
| 13 | 1997 | 1 | |
| 14 | 2024 | 1 |
About John Cazes
John Cazes is a scholar working on Computer Networks and Communications, Hardware and Architecture, Astronomy and Astrophysics, Information Systems and Computational Mechanics, having authored 14 papers that have together received 175 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (6 papers), Advanced Data Storage Technologies (6 papers), Distributed and Parallel Computing Systems (4 papers), Astrophysics and Star Formation Studies (3 papers), Stellar, planetary, and galactic studies (2 papers), Cloud Computing and Resource Management (1 paper), Coastal and Marine Dynamics (1 paper) and Tropical and Extratropical Cyclones Research (1 paper). The work is most often cited by research in Hardware and Architecture (48 citations), Computer Networks and Communications (60 citations), Astronomy and Astrophysics (35 citations), Information Systems and Management (11 citations) and Atomic and Molecular Physics, and Optics (24 citations). John Cazes has collaborated with scholars based in United States and Germany. Frequent co-authors include Joel E. Tohline, Howard S. Cohl, Eric I. Barnes, Lars Koesterke, Kent Milfeld, D. A. Browne, A. Rau, S. Sanielevici, Nancy Wilkins‐Diehr and Jay Boisseau. Their work appears in journals such as Bioinformatics, New Astronomy, The Astrophysical Journal, Physical Review A and Lecture notes in 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.