Rick Riolo
Impact in
- Artificial Intelligence top 1%
- Evolutionary Algorithms and Applications
- Metaheuristic Optimization Algorithms Research
Papers in
-
- Evolutionary Algorithms and Applications 45
- Metaheuristic Optimization Algorithms Research 27
- Reinforcement Learning in Robotics 9
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- Evolutionary Game Theory and Cooperation 17
- Co-authors
- Robert Savit (5 shared papers)Michael D. Cohen (5 shared papers)Robert Axelrod (4 shared papers)Daniel G. Brown (18 shared papers)William Rand (14 shared papers)H. Van Dyke Parunak (1 shared paper)Bill Worzel (14 shared papers)Vincent Hascall (4 shared papers)
- Journals
- Nature (3 papers)Ecological Modelling (3 papers)Analytical Biochemistry (2 papers)Machine Learning (2 papers)Environmental Science & Policy (2 papers)
- Partner nations
- United StatesCanadaNetherlands
In The Last Decade
Rick Riolo
103 papers receiving 4.8k citations
Rick Riolo's Hit Papers
Peers
Comparison fields: 5 of 188
- Management Science and Operations Research 622
- Artificial Intelligence 1.4k
- Global and Planetary Change 800
- Transportation 250
- Safety Research 289
Countries citing papers authored by Rick Riolo
This map shows the geographic impact of Rick Riolo'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 Rick Riolo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rick Riolo more than expected).
Fields of papers citing papers by Rick Riolo
This network shows the impact of papers produced by Rick Riolo. 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 Rick Riolo. The network helps show where Rick Riolo may publish in the future.
Co-authors
The 25 scholars most cited alongside Rick Riolo, 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 105 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Evolution of cooperation without reciprocity Hit paper breakdown → | 2001 | 565 |
| 2 | 1998 | 489 | |
| 3 | 2005 | 323 | |
| 4 | 2005 | 263 | |
| 5 | 1999 | 254 | |
| 6 | 1999 | 248 | |
| 7 | 2006 | 186 | |
| 8 | 1972 | 166 | |
| 9 | Genetic Programming 1997: Proceedings of the Second Annual Conference | 1997 | 150 |
| 10 | 1972 | 132 | |
| 11 | 2011 | 127 | |
| 12 | 2007 | 114 | |
| 13 | 2004 | 109 | |
| 14 | 2001 | 102 | |
| 15 | 2014 | 96 | |
| 16 | 2000 | 93 | |
| 17 | 1991 | 78 | |
| 18 | 2012 | 69 | |
| 19 | 2007 | 60 | |
| 20 | 2002 | 58 |
About Rick Riolo
Rick Riolo is a scholar working on Artificial Intelligence, Sociology and Political Science, Global and Planetary Change, Economics and Econometrics and Statistical and Nonlinear Physics, having authored 105 papers that have together received 5.2k indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (45 papers), Metaheuristic Optimization Algorithms Research (27 papers), Evolutionary Game Theory and Cooperation (17 papers), Land Use and Ecosystem Services (11 papers), Reinforcement Learning in Robotics (9 papers), Evolution and Genetic Dynamics (8 papers), Opinion Dynamics and Social Influence (8 papers) and Advanced Multi-Objective Optimization Algorithms (6 papers). The work is most often cited by research in Management Science and Operations Research (622 citations), Artificial Intelligence (1.4k citations), Global and Planetary Change (800 citations), Transportation (250 citations) and Safety Research (289 citations). Rick Riolo has collaborated with scholars based in United States, Canada and Netherlands. Frequent co-authors include Robert Savit, Michael D. Cohen, Robert Axelrod, Daniel G. Brown, William Rand, H. Van Dyke Parunak, Bill Worzel, Vincent Hascall, Radu Manuca and Derek T. Robinson. Their work appears in journals such as Nature, Ecological Modelling, Analytical Biochemistry, Machine Learning and Environmental Science & Policy.
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.