Jon Klein

735 citations
11 papers · 313 · h-index 8

Impact in

    • Evolutionary Algorithms and Applications
    • Metaheuristic Optimization Algorithms Research
    • Reinforcement Learning in Robotics

Papers in

Jon Klein

11 papers receiving 288 citations

Peers

Jon Klein
Comparison fields: 5 of 60
  • Artificial Intelligence 196
  • Software 9
  • Computer Science Applications 12
  • Computational Theory and Mathematics 25
  • Computer Networks and Communications 36
Replace Justin K. Pugh with:
Justin K. Pugh United States
L. B. Soros United States
Benjamin E. Beckmann United States
Óscar Plata Spain
Abraham Prieto Spain
Valentin Longchamp Switzerland
Jean‐Louis Giavitto France
Frédéric Gruau France
Tom Arbuckle Ireland
Thomas Halva Labella Germany
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Citations per field
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Citations per year

Countries citing papers authored by Jon Klein

Since Specialization
Citations

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

Fields of papers citing papers by Jon Klein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jon Klein. 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 Klein. The network helps show where Jon Klein may publish in the future.

Co-authors

The 8 scholars most cited alongside Jon Klein, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jon Klein Line = papers co-authored together Jon Klein links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1
breve: a 3D environment for the simulation of decentralized systems and artificial life
200291
2 200584
3 200552
4 200831
5 200718
6 200612
7 200712
8 20088
9
Tags and the Evolution of Cooperation in Complex Environments.
20043
10 20191
11
Teaching the evolution of behavior with SuperDuperWalker
20051

About Jon Klein

Jon Klein is a scholar working on Artificial Intelligence, Sociology and Political Science, Computational Theory and Mathematics, Genetics and Mechanical Engineering, having authored 11 papers that have together received 313 indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (8 papers), Metaheuristic Optimization Algorithms Research (4 papers), Evolutionary Game Theory and Cooperation (3 papers), Reinforcement Learning in Robotics (2 papers), Computability, Logic, AI Algorithms (2 papers), Evolution and Genetic Dynamics (2 papers), Modular Robots and Swarm Intelligence (2 papers) and Artificial Intelligence in Games (1 paper). The work is most often cited by research in Artificial Intelligence (196 citations), Software (9 citations), Computer Science Applications (12 citations), Computational Theory and Mathematics (25 citations) and Computer Networks and Communications (36 citations). Jon Klein has collaborated with scholars based in United States, Sweden and Jordan. Frequent co-authors include Lee Spector, Maarten Keijzer, Mark Feinstein, Chris Perry, David M. Clark, Nicholas Freitag McPhee, Kyle Harrington and Raymond Coppinger. Their work appears in journals such as Artificial Life, Artificial intelligence for engineering design analysis and manufacturing, Genetic Programming and Evolvable Machines, Proceedings of the Genetic and Evolutionary Computation Conference Companion and Chalmers Research (Chalmers University of Technology).

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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