Randal S. Olson

3.3k total citations · 1 hit paper
29 papers, 1.1k citations indexed

About

Randal S. Olson is a scholar working on Genetics, Sociology and Political Science and Artificial Intelligence. According to data from OpenAlex, Randal S. Olson has authored 29 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Genetics, 11 papers in Sociology and Political Science and 11 papers in Artificial Intelligence. Recurrent topics in Randal S. Olson's work include Evolutionary Game Theory and Cooperation (11 papers), Evolutionary Algorithms and Applications (10 papers) and Machine Learning and Data Classification (6 papers). Randal S. Olson is often cited by papers focused on Evolutionary Game Theory and Cooperation (11 papers), Evolutionary Algorithms and Applications (10 papers) and Machine Learning and Data Classification (6 papers). Randal S. Olson collaborates with scholars based in United States, Poland and Israel. Randal S. Olson's co-authors include Jason H. Moore, Ryan J. Urbanowicz, Nathan Bartley, Christoph Adami, Patryk Orzechowski, William La Cava, Peter Schmitt, Melissa Meeker, David B. Knoester and Arend Hintze and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of Biomedical Informatics.

In The Last Decade

Randal S. Olson

28 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Evaluation of a Tree-based Pipeline Optimization Tool for Automating Data Science

2016 317 citations Randal S. Olson, Ryan J. Urbanowicz et al. profile →

Peers

Countries citing papers authored by Randal S. Olson

Since Specialization

Citations

This map shows the geographic impact of Randal S. Olson'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 Randal S. Olson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Randal S. Olson more than expected).

Fields of papers citing papers by Randal S. Olson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Randal S. Olson. 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 Randal S. Olson. The network helps show where Randal S. Olson may publish in the future.

Co-authorship network of co-authors of Randal S. Olson

This figure shows the co-authorship network connecting the top 25 collaborators of Randal S. Olson. A scholar is included among the top collaborators of Randal S. Olson 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 Randal S. Olson. Randal S. Olson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	How Computational Experiments Can Improve Our Understanding of the Genetic Architecture of Common Human Diseases 2020 ·Artificial Life ·Jason H. Moore, Randal S. Olson, (unknown), Yong Chen, Elisabetta Manduchi	5
2	Using Machine Learning on Home Health Care Assessments to Predict Fall Risk 2019 ·Studies in health technology and informatics ·Yancy Lo, (unknown), Ryan J. Urbanowicz, Randal S. Olson, (unknown), Christina R. Whitehouse, Melissa O’Connor, (unknown), Margaret V. McDonald, Jason H. Moore, Kathryn H. Bowles	18
3	Automated discovery of test statistics using genetic programming 2018 ·Genetic Programming and Evolvable Machines ·Jason H. Moore, Randal S. Olson, Yong Chen, Moshe Sipper	2
4	Benchmarking relief-based feature selection methods for bioinformatics data mining 2018 ·Journal of Biomedical Informatics ·Ryan J. Urbanowicz, Randal S. Olson, Peter Schmitt, Melissa Meeker, Jason H. Moore	154
5	A Pilot Characterization of the Human Chronobiome 2017 ·Scientific Reports ·Carsten Skarke, Nicholas F. Lahens, Seth D. Rhoades, Amy Campbell, Kyle Bittinger, Aubrey Bailey, Christian Hoffmann, Randal S. Olson, Lihong Chen, Guangrui Yang, Thomas S. Price, Jason H. Moore, Frederic D. Bushman, Casey S. Greene, Gregory R. Grant, Aalim M. Weljie, Garret A. FitzGerald	59
6	Layered TPOT : speeding up tree-based pipeline optimization 2017 ·TU/e Research Portal ·(unknown), Joaquin Vanschoren, Randal S. Olson	3
7	Grid-based stochastic search for hierarchical gene-gene interactions in population-based genetic studies of common human diseases 2017 ·BioData Mining ·Jason H. Moore, Peter C. Andrews, Randal S. Olson, (unknown), (unknown), (unknown), James P.B. O’Connor, (unknown), Steven Armentrout	15
8	Evolutionary computation: the next major transition of artificial intelligence? 2017 ·BioData Mining ·Moshe Sipper, Randal S. Olson, Jason H. Moore	12
9	PMLB: a large benchmark suite for machine learning evaluation and comparison 2017 ·BioData Mining ·Randal S. Olson, William La Cava, Patryk Orzechowski, Ryan J. Urbanowicz, Jason H. Moore	188
10	A heuristic method for simulating open-data of arbitrary complexity that can be used to compare and evaluate machine learning methods 2017 ·PubMed ·Jason H. Moore, Maksim Shestov, (unknown), Randal S. Olson	8
11	Benchmarking Relief-Based Feature Selection Methods. 2017 ·Ryan J. Urbanowicz, Randal S. Olson, Peter Schmitt, Melissa Meeker, Jason H. Moore	8
12	Exploring the coevolution of predator and prey morphology and behavior 2016 ·Randal S. Olson, Arend Hintze, Fred C. Dyer, Jason H. Moore, Christoph Adami	0
13	Exploring the coevolution of predator and prey morphology and behavior 2016 ·arXiv (Cornell University) ·Christoph Adami, Jason H. Moore, Fred C. Dyer, Arend Hintze, Randal S. Olson	1
14	Risk sensitivity as an evolutionary adaptation 2015 ·Scientific Reports ·Arend Hintze, Randal S. Olson, Christoph Adami, Ralph Hertwig	41
15	Evolving an optimal group size in groups of prey under predation 2015 ·(unknown), Randal S. Olson, Fred C. Dyer, Christoph Adami	1
16	Navigating the massive world of reddit: using backbone networks to map user interests in social media 2015 ·SHILAP Revista de lepidopterología ·Randal S. Olson, Zachary P. Neal	35
17	Exploring Conditions That Select for the Evolution of Cooperative Group Foraging 2014 ·(unknown), Randal S. Olson, Fred C. Dyer, Christoph Adami	6
18	Exploring Conditions That Select for the Evolution of Cooperative Group Foraging 2014 ·(unknown), Randal S. Olson, Fred C. Dyer, Christoph Adami	1
19	Evolved digital ecosystems: Dynamic steady state, not optimal fixed point 2013 ·Randal S. Olson, (unknown), (unknown), Eric L. Bruger, Arend Hintze, David B. Knoester, Christoph Adami	5
20	Critical interplay between density-dependent predation and evolution of the selfish herd 2013 ·Randal S. Olson, David B. Knoester, Christoph Adami	18

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.

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