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).
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-authorship network of co-authors of Rick Riolo
This figure shows the co-authorship network connecting the top 25 collaborators of Rick Riolo.
A scholar is included among the top collaborators of Rick Riolo 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 Rick Riolo. Rick Riolo is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Riolo, Rick, Terence Soule, & Bill Worzel. (2007). Genetic Programming Theory and Practice IV (Genetic and Evolutionary Computation). Springer eBooks.7 indexed citations
Yu, Tina, Rick Riolo, & Bill Worzel. (2005). Genetic Programming Theory and Practice III (Genetic Programming). Springer eBooks.3 indexed citations
9.
Rand, William, John H. Holland, & Rick Riolo. (2005). Controlled observations of the genetic algorithm in a changing environment: Case studies using the shaky ladder hyperplane -defined functions.. Deep Blue (University of Michigan).5 indexed citations
10.
O’Reilly, Una-May, Tina Yu, Rick Riolo, & Bill Worzel. (2004). Genetic Programming Theory And Practice Ii (Genetic Programming). Springer eBooks.2 indexed citations
11.
Riolo, Rick & Bill Worzel. (2003). Genetic Programming Theory and Practice (Genetic Programming). Kluwer Academic Publishers eBooks.5 indexed citations
12.
Riolo, Rick, Miriam Cohen, & Robert Axelrod. (2002). Behavioural evolution - Does similarity breed cooperation? Reply. Nature.2 indexed citations
13.
Huang, Chien‐Feng, John H. Holland, & Rick Riolo. (2002). A study of mate selection in genetic algorithms.. Deep Blue (University of Michigan).5 indexed citations
14.
Wu, Annie S., Robert Lindsay, & Rick Riolo. (1997). Empirical Observations on the Roles of Crossover and Mutation.. 362–369.25 indexed citations
15.
Riolo, Rick. (1997). The Effects and Evolution of Tag-Mediated Selection of Partners in Populations Playing the Iterated Prisoner's Dilemma.. 378–385.33 indexed citations
Riolo, Rick. (1989). The emergence of default hierarchies in learning classifier systems. international conference on Genetic algorithms. 322–327.11 indexed citations
18.
Riolo, Rick. (1989). The emergence of coupled sequences of classifiers. international conference on Genetic algorithms. 256–264.20 indexed citations
19.
Riolo, Rick. (1987). Bucket brigade performance: I. Long sequences of classifiers. international conference on Genetic algorithms. 184–195.40 indexed citations
20.
Riolo, Rick. (1987). Bucket brigade performance: II. Default hierarchies. international conference on Genetic algorithms. 196–201.25 indexed citations
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.