Michael D. Vose

4.3k citations
56 papers · 2.5k · h-index 24

Impact in

Papers in

Michael D. Vose

53 papers receiving 2.3k citations

Peers

Michael D. Vose
Comparison fields: 5 of 147
  • Artificial Intelligence 1.3k
  • Computational Theory and Mathematics 522
  • Genetics 496
  • Management Science and Operations Research 141
  • Ecology, Evolution, Behavior and Systematics 206
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W. H. Day United States
Fernando J. Von Zuben Brazil
F.R. McMorris United States
Peter J. Bentley United Kingdom
Edward A. Bender United States
Boris Mirkin Russia
J. N. Darroch Australia
Thiemo Krink Denmark
L. R. Foulds New Zealand
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Citations per field
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Citations per year

Countries citing papers authored by Michael D. Vose

Since Specialization
Citations

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

Fields of papers citing papers by Michael D. Vose

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael D. Vose. 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 Michael D. Vose. The network helps show where Michael D. Vose may publish in the future.

Co-authors

The 15 scholars most cited alongside Michael D. Vose, 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 Michael D. Vose Line = papers co-authored together Michael D. Vose links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The Simple Genetic Algorithm: Foundations and Theory
1999432
2 1999288
3 1992259
4 2000186
5 1991123
6 1991105
7 199899
8 199093
9
The No Free Lunch and problem description length
200181
10 199174
11 200768
12 200849
13 199848
14 199548
15 200944
16 199437
17 199732
18 199830
19 199229
20 201826

About Michael D. Vose

Michael D. Vose is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Genetics, Ecology, Evolution, Behavior and Systematics and Molecular Biology, having authored 56 papers that have together received 2.5k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (27 papers), Evolutionary Algorithms and Applications (22 papers), Advanced Multi-Objective Optimization Algorithms (8 papers), Evolution and Genetic Dynamics (5 papers), Plant and animal studies (5 papers), Neural Networks and Applications (4 papers), Genetic diversity and population structure (3 papers) and Evolutionary Game Theory and Cooperation (3 papers). The work is most often cited by research in Artificial Intelligence (1.3k citations), Computational Theory and Mathematics (522 citations), Genetics (496 citations), Management Science and Operations Research (141 citations) and Ecology, Evolution, Behavior and Systematics (206 citations). Michael D. Vose has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Sergey Gavrilets, Gunar E. Liepins, Hai Li, Alden H. Wright, Edgar A. Duéñez‐Guzmán, Jonathan E. Rowe, L. Darrell Whitley, Corey Schumacher, Takehiko I. Hayashi and Gary J. Kœhler. Their work appears in journals such as Evolutionary Computation, Evolution, Theoretical Computer Science, Artificial Intelligence and Proceedings of the American Mathematical Society.

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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