Ian Stokes-Rees

2.6k citations
15 papers · 241 · h-index 6

Impact in

Papers in

Ian Stokes-Rees

15 papers receiving 218 citations

Peers

Ian Stokes-Rees
Comparison fields: 5 of 65
  • Information Systems and Management 54
  • Computer Networks and Communications 163
  • Information Systems 108
  • Hardware and Architecture 29
  • Nuclear and High Energy Physics 11
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Citations per year

Countries citing papers authored by Ian Stokes-Rees

Since Specialization
Citations

This map shows the geographic impact of Ian Stokes-Rees'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 Ian Stokes-Rees with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ian Stokes-Rees more than expected).

Fields of papers citing papers by Ian Stokes-Rees

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ian Stokes-Rees. 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 Ian Stokes-Rees. The network helps show where Ian Stokes-Rees may publish in the future.

Co-authors

The 25 scholars most cited alongside Ian Stokes-Rees, 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 Ian Stokes-Rees Line = papers co-authored together Ian Stokes-Rees links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2009102
2 200548
3 201040
4 201216
5
DIRAC, the LHCb Data Production and Distributed Analysis system
20067
6 20105
7 20095
8 20124
9 20044
10 20043
11
Breaking data science open: how open data science is eating the world
20172
12 20122
13 20061
14 20101
15
Multi-cluster parallel job submission: Experiences with Monte Carlo simulations for computational finance on Grid5000
20071

About Ian Stokes-Rees

Ian Stokes-Rees is a scholar working on Computer Networks and Communications, Information Systems and Management, Molecular Biology, Finance and Hardware and Architecture, having authored 15 papers that have together received 241 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (12 papers), Advanced Data Storage Technologies (8 papers), Scientific Computing and Data Management (5 papers), Stochastic processes and financial applications (2 papers), Enzyme Structure and Function (2 papers), Parallel Computing and Optimization Techniques (2 papers), Cloud Computing and Resource Management (1 paper) and Superconducting Materials and Applications (1 paper). The work is most often cited by research in Information Systems and Management (54 citations), Computer Networks and Communications (163 citations), Information Systems (108 citations), Hardware and Architecture (29 citations) and Nuclear and High Energy Physics (11 citations). Ian Stokes-Rees has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Piotr Sliz, A. Tsaregorodtsev, V. Garonne, Jens Grabowski, Julian Gallop, Stephan Schulz, Tatiana Kováčiková, Daniel J. O’Donovan, Yunsun Nam and Stephen C. Blacklow. Their work appears in journals such as Journal of Grid Computing, Proceedings of the National Academy of Sciences, Journal of Synchrotron Radiation, Mathematics and Computers in Simulation and Concurrency and Computation Practice and Experience.

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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