David Bryson
Impact in
-
- Evolution and Genetic Dynamics
- Artificial Intelligence top 10%
- Evolutionary Algorithms and Applications
- Metaheuristic Optimization Algorithms Research
Papers in
- Genetics 9
- Evolution and Genetic Dynamics 9
-
- Evolutionary Algorithms and Applications 10
- Co-authors
- Charles Ofria (11 shared papers)Richard E. Lenski (2 shared papers)Luis Zaman (2 shared papers)Justin R. Meyer (2 shared papers)Robert T. Pennock (3 shared papers)Aaron P. Wagner (4 shared papers)Claus O. Wilke (1 shared paper)Brian W. Goldman (1 shared paper)
- Journals
- PLoS ONE (3 papers)PLoS Biology (1 paper)Artificial Life (1 paper)Genetic and Evolutionary Computation Conference (GECCO) (1 paper)Data Archiving and Networked Services (DANS) (1 paper)
- Partner nations
- United StatesFranceCanada
In The Last Decade
David Bryson
13 papers receiving 295 citations
Peers
Comparison fields: 5 of 71
- Genetics 104
- Artificial Intelligence 94
- History and Philosophy of Science 21
- Safety Research 20
- Developmental Biology 3
Countries citing papers authored by David Bryson
This map shows the geographic impact of David Bryson'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 David Bryson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Bryson more than expected).
Fields of papers citing papers by David Bryson
This network shows the impact of papers produced by David Bryson. 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 David Bryson. The network helps show where David Bryson may publish in the future.
Co-authors
The 11 scholars most cited alongside David Bryson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 120 | |
| 2 | 2014 | 80 | |
| 3 | 2014 | 27 | |
| 4 | 2009 | 22 | |
| 5 | Early Evolution of Memory Usage in Digital Organisms | 2011 | 18 |
| 6 | Artificial Life 13 | 2012 | 11 |
| 7 | 2013 | 10 | |
| 8 | 2013 | 9 | |
| 9 | 2014 | 8 | |
| 10 | 2012 | 3 | |
| 11 | 2012 | 2 | |
| 12 | The evolutionary potential of populations on complex fitness landscapes | 2012 | 1 |
| 13 | 2014 | 1 | |
| 14 | 2014 | 0 | |
| 15 | 2014 | 0 |
About David Bryson
David Bryson is a scholar working on Genetics, Artificial Intelligence, Ecology, Evolution, Behavior and Systematics, History and Philosophy of Science and Computational Theory and Mathematics, having authored 15 papers that have together received 312 indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (10 papers), Evolution and Genetic Dynamics (9 papers), Evolutionary Game Theory and Cooperation (4 papers), Animal Behavior and Reproduction (3 papers), Philosophy and History of Science (2 papers), Cellular Automata and Applications (2 papers) and Modular Robots and Swarm Intelligence (1 paper). The work is most often cited by research in Genetics (104 citations), Artificial Intelligence (94 citations), History and Philosophy of Science (21 citations), Safety Research (20 citations) and Developmental Biology (3 citations). David Bryson has collaborated with scholars based in United States, France and Canada. Frequent co-authors include Charles Ofria, Richard E. Lenski, Luis Zaman, Justin R. Meyer, Robert T. Pennock, Aaron P. Wagner, Claus O. Wilke, Brian W. Goldman, Fred C. Dyer and Ian M. Dworkin. Their work appears in journals such as PLoS ONE, PLoS Biology, Artificial Life, Genetic and Evolutionary Computation Conference (GECCO) and Data Archiving and Networked Services (DANS).
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.