Simon Coakley

600 citations
13 papers · 323 · h-index 9

Impact in

Papers in

Simon Coakley

12 papers receiving 306 citations

Peers

Simon Coakley
Comparison fields: 5 of 88
  • Modeling and Simulation 30
  • Management Science and Operations Research 63
  • Transportation 27
  • Information Systems and Management 23
  • Computer Networks and Communications 58
Replace Pam Sydelko with:
Pam Sydelko United States
Carmine Spagnuolo Italy
Gengxin Sun China
Federica Ciocchetta United Kingdom
Mathieu Sinn Ireland
Steve McKeever United Kingdom
Zhongxiao Li Saudi Arabia
Abhinav Tiwari United States
Malay Bhattacharyya India
Fiete Haack Germany
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Citations per field
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Citations per year

Countries citing papers authored by Simon Coakley

Since Specialization
Citations

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

Fields of papers citing papers by Simon Coakley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Simon Coakley. 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 Simon Coakley. The network helps show where Simon Coakley may publish in the future.

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2010108
2 201253
3 200751
4 200931
5 201317
6 200916
7 200813
8 201411
9
FROM MOLECULES TO INSECT COMMUNITIES - HOW FORMAL AGENT BASED COMPUTATIONAL MODELLING IS UNCOVERING NEW BIOLOGICAL FACTS
200610
10 20126
11
Large-scale Modelling of Economic Systems
20134
12
A High Performance Agent Based Modelling Framework on Graphics Card Hardware with CUDA (Extended Abstract)
20092
13
Modelling Specifications for EURACE
20071

About Simon Coakley

Simon Coakley is a scholar working on Computer Networks and Communications, Molecular Biology, Information Systems, Artificial Intelligence and Computational Theory and Mathematics, having authored 13 papers that have together received 323 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (3 papers), Peer-to-Peer Network Technologies (2 papers), Mobile Agent-Based Network Management (2 papers), Simulation Techniques and Applications (2 papers), Gene Regulatory Network Analysis (2 papers), Cellular Automata and Applications (2 papers), Antibiotic Resistance in Bacteria (1 paper) and Computer Graphics and Visualization Techniques (1 paper). The work is most often cited by research in Modeling and Simulation (30 citations), Management Science and Operations Research (63 citations), Transportation (27 citations), Information Systems and Management (23 citations) and Computer Networks and Communications (58 citations). Simon Coakley has collaborated with scholars based in United Kingdom and Czechia. Frequent co-authors include Daniela M. Romano, Paul Richmond, Mike Holcombe, Dawn Walker, R. H. Smallwood, Phil McMinn, Chris Greenough, Marian Gheorghe, Tao Sun and Sheila MacNeil. Their work appears in journals such as Briefings in Bioinformatics, PLoS Computational Biology, Journal of The Royal Society Interface, Biosystems and Complex Systems.

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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