Barbora Trubenová
Impact in
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- Evolution and Genetic Dynamics
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- Advanced Multi-Objective Optimization Algorithms
Papers in
- Genetics 13
- Evolution and Genetic Dynamics 12
- Genetic diversity and population structure 2
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- Evolutionary Game Theory and Cooperation 6
- Co-authors
- Dirk Sudholt (6 shared papers)Tiago Paixão (6 shared papers)Roland R. Regoes (4 shared papers)Jens Rolff (2 shared papers)Reinmar Hager (4 shared papers)Annette Moter (1 shared paper)Nick Monk (1 shared paper)Marian B. Wilkin (1 shared paper)
- Journals
- Algorithmica (2 papers)PLoS ONE (2 papers)Molecular Ecology Resources (1 paper)Genetics (1 paper)Cell (1 paper)
- Partner nations
- United KingdomAustriaGermany
In The Last Decade
Barbora Trubenová
16 papers receiving 271 citations
Peers
Comparison fields: 5 of 79
- Genetics 88
- Computational Theory and Mathematics 45
- Artificial Intelligence 75
- Molecular Medicine 11
- Endocrinology 10
Countries citing papers authored by Barbora Trubenová
This map shows the geographic impact of Barbora Trubenová'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 Barbora Trubenová with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Barbora Trubenová more than expected).
Fields of papers citing papers by Barbora Trubenová
This network shows the impact of papers produced by Barbora Trubenová. 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 Barbora Trubenová. The network helps show where Barbora Trubenová may publish in the future.
Co-authors
The 24 scholars most cited alongside Barbora Trubenová, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 63 | |
| 2 | 2014 | 52 | |
| 3 | 2016 | 28 | |
| 4 | 2017 | 26 | |
| 5 | 2015 | 20 | |
| 6 | 2019 | 16 | |
| 7 | 2015 | 12 | |
| 8 | 2013 | 10 | |
| 9 | 2022 | 10 | |
| 10 | 2016 | 10 | |
| 11 | 2012 | 8 | |
| 12 | 2015 | 8 | |
| 13 | 2016 | 6 | |
| 14 | 2019 | 2 | |
| 15 | 2022 | 2 | |
| 16 | 2025 | 1 | |
| 17 | 2025 | 0 |
About Barbora Trubenová
Barbora Trubenová is a scholar working on Genetics, Sociology and Political Science, Ecology, Evolution, Behavior and Systematics, Artificial Intelligence and Molecular Biology, having authored 17 papers that have together received 274 indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (12 papers), Evolutionary Game Theory and Cooperation (6 papers), Metaheuristic Optimization Algorithms Research (5 papers), Evolutionary Algorithms and Applications (5 papers), Animal Behavior and Reproduction (3 papers), Genetic diversity and population structure (2 papers), Plant and animal studies (2 papers) and Evolutionary Psychology and Human Behavior (2 papers). The work is most often cited by research in Genetics (88 citations), Computational Theory and Mathematics (45 citations), Artificial Intelligence (75 citations), Molecular Medicine (11 citations) and Endocrinology (10 citations). Barbora Trubenová has collaborated with scholars based in United Kingdom, Austria and Germany. Frequent co-authors include Dirk Sudholt, Tiago Paixão, Roland R. Regoes, Jens Rolff, Reinmar Hager, Annette Moter, Nick Monk, Marian B. Wilkin, Martín Baron and Hideyuki Shimizu. Their work appears in journals such as Algorithmica, PLoS ONE, Molecular Ecology Resources, Genetics and Cell.
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.