Simon Coakley
- Molecular Biology
- Management Science and Operations Research top 10%
- Computer Networks and Communications
- Artificial Intelligence
- Computational Theory and Mathematics
- Co-authors
- Paul RichmondDaniela M. RomanoDawn WalkerMike HolcombeR. H. SmallwoodPhil McMinnChris GreenoughMarian Gheorghe
- Topics
- Distributed and Parallel Computing Systems (3 papers)Peer-to-Peer Network Technologies (2 papers)Simulation Techniques and Applications (2 papers)
- Journals
- PLoS Computational BiologyJournal of The Royal Society InterfaceBriefings in Bioinformatics
- Partner nations
- United Kingdom
In The Last Decade
Simon Coakley
12 papers receiving 305 citations
Peers
Comparison fields: 5 of 94
- Molecular Biology 85
- Management Science and Operations Research 63
- Computer Networks and Communications 58
- Artificial Intelligence 38
- Computational Theory and Mathematics 31
Countries citing papers authored by Simon Coakley
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
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-authorship network of co-authors of Simon Coakley
This figure shows the co-authorship network connecting the top 25 collaborators of Simon Coakley. A scholar is included among the top collaborators of Simon Coakley based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Simon Coakley. Simon Coakley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | Large-scale Modelling of Economic Systems | 4 |
| 3 | 18 | |
| 4 | 53 | |
| 5 | 6 | |
| 6 | 106 | |
| 7 | 31 | |
| 8 | 16 | |
| 9 | A High Performance Agent Based Modelling Framework on Graphics Card Hardware with CUDA (Extended Abstract) | 2 |
| 10 | 13 | |
| 11 | 51 | |
| 12 | Modelling Specifications for EURACE | 1 |
| 13 | FROM MOLECULES TO INSECT COMMUNITIES - HOW FORMAL AGENT BASED COMPUTATIONAL MODELLING IS UNCOVERING NEW BIOLOGICAL FACTS | 10 |
About Simon Coakley
Simon Coakley is a scholar working on Computer Graphics and Computer-Aided Design, Computer Networks and Communications and Molecular Medicine, having authored 13 papers that have together received 322 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (3 papers), Peer-to-Peer Network Technologies (2 papers) and Simulation Techniques and Applications (2 papers). The work is most often cited by research in Modeling and Simulation (31 citations), Management Science and Operations Research (63 citations) and Transportation (27 citations). Simon Coakley has collaborated with scholars based in United Kingdom. Frequent co-authors include Paul Richmond, Daniela M. Romano, Dawn Walker, Mike Holcombe, R. H. Smallwood, Phil McMinn, Chris Greenough, Marian Gheorghe, Sheila MacNeil and Tao Sun. Their work appears in journals such as PLoS Computational Biology, Journal of The Royal Society Interface and Briefings in Bioinformatics.
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.