Michael D. Vose
- Artificial Intelligence top 1%
- Computational Theory and Mathematics top 1%
- Genetics top 5%
- Molecular Biology
- Sociology and Political Science top 10%
- Co-authors
- Sergey GavriletsGunar E. LiepinsHai LiAlden H. WrightEdgar A. Duéñez‐GuzmánJonathan E. RoweL. Darrell WhitleyCorey Schumacher
- Topics
- Metaheuristic Optimization Algorithms Research (28 papers)Evolutionary Algorithms and Applications (23 papers)Advanced Multi-Objective Optimization Algorithms (8 papers)
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Michael D. Vose
54 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 150
- Artificial Intelligence 1.3k
- Computational Theory and Mathematics 520
- Genetics 500
- Molecular Biology 245
- Sociology and Political Science 212
Countries citing papers authored by Michael D. Vose
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
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-authorship network of co-authors of Michael D. Vose
This figure shows the co-authorship network connecting the top 25 collaborators of Michael D. Vose. A scholar is included among the top collaborators of Michael D. Vose 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 Michael D. Vose. Michael D. Vose is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 44 | |
| 2 | 49 | |
| 3 | 5 | |
| 4 | 11 | |
| 5 | 68 | |
| 6 | 5 | |
| 7 | 1 | |
| 8 | 24 | |
| 9 | The No Free Lunch and problem description length | 80 |
| 10 | 14 | |
| 11 | The Simple Genetic Algorithm: Foundations and Theory | 432 |
| 12 | 23 | |
| 13 | 32 | |
| 14 | Genetic Algorithm Dynamics in a Two-well Potential | 2 |
| 15 | 48 | |
| 16 | 7 | |
| 17 | 12 | |
| 18 | 123 | |
| 19 | Polynomials, Basis Sets, and Deceptiveness in Genetic Algorithms. | 10 |
| 20 | 3 |
About Michael D. Vose
Michael D. Vose is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Algebra and Number Theory, having authored 57 papers that have together received 2.5k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (28 papers), Evolutionary Algorithms and Applications (23 papers) and Advanced Multi-Objective Optimization Algorithms (8 papers). The work is most often cited by research in Artificial Intelligence (1.3k citations), Computational Theory and Mathematics (520 citations) and Genetics (500 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 Jesús Mavárez. Their work appears in journals such as PLoS ONE, Evolution and Proceedings of the Royal Society B Biological Sciences.
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.