Tim Kovacs
Impact in
- Artificial Intelligence top 1%
- Evolutionary Algorithms and Applications
- Metaheuristic Optimization Algorithms Research
- Neural Networks and Applications
- Genetics top 10%
- Insect and Arachnid Ecology and Behavior
Papers in
-
- Evolutionary Algorithms and Applications 59
- Metaheuristic Optimization Algorithms Research 46
- Neural Networks and Applications 6
- Reinforcement Learning in Robotics 5
-
- Viral Infectious Diseases and Gene Expression in Insects 15
- Gene Regulatory Network Analysis 5
- Co-authors
- Pier Luca Lanzi (8 shared papers)James A. R. Marshall (11 shared papers)Stewart W. Wilson (3 shared papers)Martin V. Butz (3 shared papers)Larry Bull (3 shared papers)Anna Dornhaus (5 shared papers)Nigel R. Franks (5 shared papers)Manfred Kerber (6 shared papers)
- Journals
- Evolutionary Computation (3 papers)Journal of The Royal Society Interface (2 papers)Soft Computing (2 papers)Evolutionary Intelligence (2 papers)Lecture notes in computer science (11 papers)
- Partner nations
- United KingdomJapanUnited States
In The Last Decade
Tim Kovacs
74 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 115
- Artificial Intelligence 1.0k
- Genetics 218
- Ecology, Evolution, Behavior and Systematics 139
- Molecular Biology 435
- Computational Theory and Mathematics 89
Countries citing papers authored by Tim Kovacs
This map shows the geographic impact of Tim Kovacs'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 Tim Kovacs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Kovacs more than expected).
Fields of papers citing papers by Tim Kovacs
This network shows the impact of papers produced by Tim Kovacs. 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 Tim Kovacs. The network helps show where Tim Kovacs may publish in the future.
Co-authors
The 25 scholars most cited alongside Tim Kovacs, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 185 | |
| 2 | 2009 | 184 | |
| 3 | 1998 | 103 | |
| 4 | 2005 | 90 | |
| 5 | 2004 | 69 | |
| 6 | GECCO'13: PROCEEDINGS OF THE 2013 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE | 2013 | 66 |
| 7 | 2005 | 65 | |
| 8 | Deletion schemes for classifier systems | 1999 | 57 |
| 9 | 2000 | 52 | |
| 10 | How XCS evolves accurate classifiers | 2001 | 48 |
| 11 | 2003 | 42 | |
| 12 | 2001 | 32 | |
| 13 | 2007 | 30 | |
| 14 | 2010 | 29 | |
| 15 | 2001 | 29 | |
| 16 | 2016 | 28 | |
| 17 | 2005 | 28 | |
| 18 | 2005 | 25 | |
| 19 | The 2011 Conference on Genetic and Evolutionary Computation (GECCO) | 2011 | 20 |
| 20 | 2002 | 20 |
About Tim Kovacs
Tim Kovacs is a scholar working on Artificial Intelligence, Molecular Biology, Genetics, Ecology, Evolution, Behavior and Systematics and Social Psychology, having authored 81 papers that have together received 1.5k indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (59 papers), Metaheuristic Optimization Algorithms Research (46 papers), Viral Infectious Diseases and Gene Expression in Insects (15 papers), Animal Behavior and Reproduction (6 papers), Neural Networks and Applications (6 papers), Plant and animal studies (5 papers), Reinforcement Learning in Robotics (5 papers) and Gene Regulatory Network Analysis (5 papers). The work is most often cited by research in Artificial Intelligence (1.0k citations), Genetics (218 citations), Ecology, Evolution, Behavior and Systematics (139 citations), Molecular Biology (435 citations) and Computational Theory and Mathematics (89 citations). Tim Kovacs has collaborated with scholars based in United Kingdom, Japan and United States. Frequent co-authors include Pier Luca Lanzi, James A. R. Marshall, Stewart W. Wilson, Martin V. Butz, Larry Bull, Anna Dornhaus, Nigel R. Franks, Manfred Kerber, Robert Planqué and Rafał Bogacz. Their work appears in journals such as Evolutionary Computation, Journal of The Royal Society Interface, Soft Computing, Evolutionary Intelligence and Lecture notes in computer science.
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.