Jon Timmis
Impact in
- Biomedical Engineering top 0.5%
- Artificial Immune Systems Applications
- Artificial Intelligence top 0.5%
- Metaheuristic Optimization Algorithms Research
- Anomaly Detection Techniques and Applications
- Evolutionary Algorithms and Applications
Papers in
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- Artificial Immune Systems Applications 86
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- Gene Regulatory Network Analysis 38
- Machine Learning in Bioinformatics 15
- Co-authors
- Leandro Nunes de Castro (5 shared papers)Alex A. Freitas (13 shared papers)Mackenzie R. Neal (3 shared papers)Thomas Stibor (7 shared papers)John Hunt (3 shared papers)Paul S. Andrews (25 shared papers)Andy M. Tyrrell (48 shared papers)Andrew Watkins (2 shared papers)
- Journals
- Frontiers in Immunology (6 papers)PLoS Computational Biology (5 papers)Biosystems (4 papers)CPT Pharmacometrics & Systems Pharmacology (3 papers)PLoS ONE (3 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Jon Timmis
216 papers receiving 6.0k citations
Jon Timmis's Hit Papers
Peers
Comparison fields: 5 of 179
- Biomedical Engineering 3.3k
- Artificial Intelligence 1.8k
- Immunology 1.1k
- Software 134
- Computational Theory and Mathematics 554
Countries citing papers authored by Jon Timmis
This map shows the geographic impact of Jon Timmis'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 Jon Timmis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jon Timmis more than expected).
Fields of papers citing papers by Jon Timmis
This network shows the impact of papers produced by Jon Timmis. 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 Jon Timmis. The network helps show where Jon Timmis may publish in the future.
Co-authors
The 25 scholars most cited alongside Jon Timmis, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 221 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Artificial Immune Systems: A New Computational Intelligence Approach Hit paper breakdown → | 2002 | 905 |
| 2 | 2003 | 441 | |
| 3 | Artificial Immune Systems: A New Computational Intelligence Paradigm | 2002 | 335 |
| 4 | 2003 | 316 | |
| 5 | 2004 | 242 | |
| 6 | 2000 | 228 | |
| 7 | 2013 | 204 | |
| 8 | 2008 | 193 | |
| 9 | 2001 | 191 | |
| 10 | 2007 | 138 | |
| 11 | 2005 | 121 | |
| 12 | 2006 | 87 | |
| 13 | 2007 | 87 | |
| 14 | Artificial Immune Systems: A New Computational Approach | 2002 | 80 |
| 15 | 2013 | 75 | |
| 16 | 2012 | 74 | |
| 17 | 2011 | 73 | |
| 18 | 2007 | 69 | |
| 19 | 2003 | 57 | |
| 20 | 2008 | 56 |
About Jon Timmis
Jon Timmis is a scholar working on Biomedical Engineering, Molecular Biology, Artificial Intelligence, Immunology and Genetics, having authored 221 papers that have together received 6.4k indexed citations. Recurring topics across this work include Artificial Immune Systems Applications (86 papers), Gene Regulatory Network Analysis (38 papers), Modular Robots and Swarm Intelligence (26 papers), T-cell and B-cell Immunology (24 papers), Evolutionary Algorithms and Applications (17 papers), Machine Learning in Bioinformatics (15 papers), Diabetes and associated disorders (14 papers) and Immune Cell Function and Interaction (14 papers). The work is most often cited by research in Biomedical Engineering (3.3k citations), Artificial Intelligence (1.8k citations), Immunology (1.1k citations), Software (134 citations) and Computational Theory and Mathematics (554 citations). Jon Timmis has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Leandro Nunes de Castro, Alex A. Freitas, Mackenzie R. Neal, Thomas Stibor, John Hunt, Paul S. Andrews, Andy M. Tyrrell, Andrew Watkins, Lois Boggess and Edward Clark. Their work appears in journals such as Frontiers in Immunology, PLoS Computational Biology, Biosystems, CPT Pharmacometrics & Systems Pharmacology and PLoS ONE.
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.