J. Leake

848 citations
10 papers · 430 · h-index 6

Impact in

Papers in

J. Leake

9 papers receiving 403 citations

Peers

J. Leake
Comparison fields: 5 of 30
  • Nuclear and High Energy Physics 185
  • Computer Networks and Communications 186
  • Information Systems 28
  • Public Health, Environmental and Occupational Health 21
  • Virology 2
Replace Matti Heikkurinen with:
Matti Heikkurinen Germany
Antony Wilson United Kingdom
Roney Cordenonsi United Kingdom
Rob Byrom United Kingdom
Steve Hicks United Kingdom
Luigi Capozza Germany
Flavia Donno Italy
Andrew Cameron Smith Switzerland
Wenjing Wu China
Hieu Hanh Le Switzerland
J. Leake relative to Matti Heikkurinen Germany Matti Heikkurinen's profile →
Citations per field
00.5×5×10.5×
Matti Heikkurinen · 1×
Citations per year

Countries citing papers authored by J. Leake

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 22 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.

Border = papers with J. Leake Line = papers co-authored together J. Leake links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2005205
2 200388
3 200468
4 202230
5
APEL: An implementation of Grid accounting using R-GMA
200520
6 200511
7 20055
8
The level-1 calorimeter trigger system for ATLAS
19952
9 19951
10
Bunch-crossing identification for the ATLAS first-level calorimeter trigger
20170

About J. Leake

J. Leake is a scholar working on Computer Networks and Communications, Nuclear and High Energy Physics, Public Health, Environmental and Occupational Health, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 10 papers that have together received 430 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (6 papers), Particle Detector Development and Performance (3 papers), Mosquito-borne diseases and control (1 paper) 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 (186 citations), Information Systems (28 citations), Public Health, Environmental and Occupational Health (21 citations) and Virology (2 citations). J. Leake has collaborated with scholars based in United Kingdom, Ireland and Switzerland. Frequent co-authors include Alfonso Javier Rodriguez-Morales, Nereida Josefina Valero-Cedeño, José Naranjo-Torres, Roney Cordenonsi, John Edwards, R. Staley, R. E. Carney, R. Hatley, J. Garvey and Nicolas Ellis. Their work appears in journals such as Journal of Grid Computing, IEEE Transactions on Nuclear Science, Tropical Medicine and Infectious Disease, Journal of Physics G Nuclear and Particle Physics 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.

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