J. Leake
Impact in
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- Parallel Computing and Optimization Techniques
Papers in
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- Advanced Data Storage Technologies 1
- Distributed and Parallel Computing Systems 1
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- Particle Detector Development and Performance 2
- Particle physics theoretical and experimental studies 2
- Co-authors
- Nereida Valero (1 shared paper)Alfonso J. Rodríguez‐Morales (1 shared paper)José Naranjo-Torres (1 shared paper)Roney Cordenonsi (1 shared paper)E. Eisenhandler (2 shared papers)A. T. Watson (1 shared paper)J. Garvey (2 shared papers)R. Staley (2 shared papers)
- Journals
- Tropical Medicine and Infectious Disease (1 paper)IEEE Transactions on Nuclear Science (1 paper)CERN Bulletin (1 paper)
- Partner nations
- United KingdomPeruSwitzerland
In The Last Decade
J. Leake
3 papers receiving 36 citations
Peers
Comparison fields: 5 of 24
- Modeling and Simulation 4
- Hardware and Architecture 5
- Public Health, Environmental and Occupational Health 20
- Computer Networks and Communications 14
- Business and International Management 1
Countries citing papers authored by J. Leake
This map shows the geographic impact of J. Leake'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 J. Leake with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Leake more than expected).
Fields of papers citing papers by J. Leake
This network shows the impact of papers produced by J. Leake. 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 J. Leake. The network helps show where J. Leake may publish in the future.
Co-authors
The 23 scholars most cited alongside J. Leake, 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 | 2022 | 23 | |
| 2 | APEL: An implementation of Grid accounting using R-GMA | 2005 | 15 |
| 3 | 1995 | 1 | |
| 4 | Bunch-crossing identification for the ATLAS first-level calorimeter trigger | 2017 | 0 |
About J. Leake
J. Leake is a scholar working on Computer Networks and Communications, Nuclear and High Energy Physics, Sociology and Political Science, Information Systems and Information Systems and Management, having authored 4 papers that have together received 39 indexed citations. Recurring topics across this work include Particle Detector Development and Performance (2 papers), Particle physics theoretical and experimental studies (2 papers), Parallel Computing and Optimization Techniques (1 paper), COVID-19 epidemiological studies (1 paper), Scientific Computing and Data Management (1 paper), Cloud Computing and Resource Management (1 paper), Advanced Data Storage Technologies (1 paper) and Distributed and Parallel Computing Systems (1 paper). The work is most often cited by research in Modeling and Simulation (4 citations), Hardware and Architecture (5 citations), Public Health, Environmental and Occupational Health (20 citations), Computer Networks and Communications (14 citations) and Business and International Management (1 citation). J. Leake has collaborated with scholars based in United Kingdom, Peru and Switzerland. Frequent co-authors include Nereida Valero, Alfonso J. Rodríguez‐Morales, José Naranjo-Torres, Roney Cordenonsi, E. Eisenhandler, A. T. Watson, J. Garvey, R. Staley, Alan Watson and D.L. Rees. Their work appears in journals such as Tropical Medicine and Infectious Disease, IEEE Transactions on Nuclear Science and CERN Bulletin.
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.