Rob Byrom
Impact in
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- Particle physics theoretical and experimental studies
- Dark Matter and Cosmic Phenomena
- Quantum Chromodynamics and Particle Interactions
- Neutrino Physics Research
- Particle Detector Development and Performance
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- Distributed and Parallel Computing Systems
- Advanced Database Systems and Queries
Papers in
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- Distributed and Parallel Computing Systems 10
- Distributed systems and fault tolerance 1
- Co-authors
- David Colling (2 shared papers)P. Kyberd (2 shared papers)P. R. Hobson (2 shared papers)Claudio Grandi (2 shared papers)S.M. Fisher (2 shared papers)JJ Nebrensky (2 shared papers)B. C. MacEvoy (2 shared papers)Steve Hicks (1 shared paper)
- Journals
- Journal of Physics G Nuclear and Particle Physics (1 paper)Journal of Grid Computing (1 paper)Lecture notes in computer science (2 papers)Scientific Programming (1 paper)CERN Document Server (European Organization for Nuclear Research) (2 papers)
- Partner nations
- United KingdomIrelandItaly
In The Last Decade
Rob Byrom
10 papers receiving 368 citations
Peers
Comparison fields: 5 of 21
- Nuclear and High Energy Physics 185
- Computer Networks and Communications 184
- Information Systems 21
- Information Systems and Management 4
- Statistical and Nonlinear Physics 4
Countries citing papers authored by Rob Byrom
This map shows the geographic impact of Rob Byrom'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 Rob Byrom with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rob Byrom more than expected).
Fields of papers citing papers by Rob Byrom
This network shows the impact of papers produced by Rob Byrom. 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 Rob Byrom. The network helps show where Rob Byrom may publish in the future.
Co-authors
The 18 scholars most cited alongside Rob Byrom, 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 | 2005 | 205 | |
| 2 | 2003 | 88 | |
| 3 | 2004 | 68 | |
| 4 | 2005 | 11 | |
| 5 | 2005 | 5 | |
| 6 | 2005 | 5 | |
| 7 | GridPP: Development of the UK computing Grid for particle physics | 2006 | 4 |
| 8 | 2005 | 3 | |
| 9 | 2006 | 2 | |
| 10 | R-GMA: a relational Grid information and monitoring system | 2002 | 1 |
About Rob Byrom
Rob Byrom is a scholar working on Computer Networks and Communications, Nuclear Energy and Engineering, Waste Management and Disposal, Infectious Diseases and Organic Chemistry, having authored 10 papers that have together received 392 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (10 papers) and Distributed systems and fault tolerance (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (185 citations), Computer Networks and Communications (184 citations), Information Systems (21 citations), Information Systems and Management (4 citations) and Statistical and Nonlinear Physics (4 citations). Rob Byrom has collaborated with scholars based in United Kingdom, Ireland and Italy. Frequent co-authors include David Colling, P. Kyberd, P. R. Hobson, Claudio Grandi, S.M. Fisher, JJ Nebrensky, B. C. MacEvoy, Steve Hicks, L. Cornwall and Laurence Field. Their work appears in journals such as Journal of Physics G Nuclear and Particle Physics, Journal of Grid Computing, Lecture notes in computer science, Scientific Programming and CERN Document Server (European Organization for Nuclear Research).
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.