Tim Kovacs

2.0k total citations
55 papers, 922 citations indexed

About

Tim Kovacs is a scholar working on Artificial Intelligence, Molecular Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Tim Kovacs has authored 55 papers receiving a total of 922 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Artificial Intelligence, 17 papers in Molecular Biology and 5 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Tim Kovacs's work include Evolutionary Algorithms and Applications (41 papers), Metaheuristic Optimization Algorithms Research (29 papers) and Viral Infectious Diseases and Gene Expression in Insects (13 papers). Tim Kovacs is often cited by papers focused on Evolutionary Algorithms and Applications (41 papers), Metaheuristic Optimization Algorithms Research (29 papers) and Viral Infectious Diseases and Gene Expression in Insects (13 papers). Tim Kovacs collaborates with scholars based in United Kingdom, Japan and United States. Tim Kovacs's co-authors include James A. R. Marshall, Pier Luca Lanzi, Martin V. Butz, Stewart W. Wilson, Nigel R. Franks, Anna Dornhaus, Robert Planqué, Rafał Bogacz, Keiki Takadama and Masaya Nakata and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Evolutionary Computation.

In The Last Decade

Tim Kovacs

54 papers receiving 889 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tim Kovacs United Kingdom 15 566 268 157 133 67 55 922
Andy M. Reynolds United Kingdom 15 131 0.2× 500 1.9× 177 1.1× 243 1.8× 100 1.5× 19 889
Erik Rauch United States 14 109 0.2× 212 0.8× 167 1.1× 48 0.4× 110 1.6× 18 819
Heiko Hamann Germany 18 293 0.5× 95 0.4× 122 0.8× 64 0.5× 188 2.8× 120 1.3k
Boris Ryabko Russia 14 306 0.5× 82 0.3× 73 0.5× 89 0.7× 13 0.2× 95 651
Inman Harvey United Kingdom 19 687 1.2× 112 0.4× 99 0.6× 41 0.3× 169 2.5× 70 1.4k
Nicolas Bredèche France 16 451 0.8× 115 0.4× 66 0.4× 17 0.1× 141 2.1× 59 934
Gabriele Valentini United States 14 126 0.2× 86 0.3× 120 0.8× 111 0.8× 114 1.7× 32 779
Roderich Groß United Kingdom 20 267 0.5× 41 0.2× 85 0.5× 50 0.4× 106 1.6× 59 1.3k
Steven Jensen United States 9 169 0.3× 146 0.5× 172 1.1× 63 0.5× 21 0.3× 13 873
Amos Korman Israel 17 223 0.4× 50 0.2× 98 0.6× 103 0.8× 37 0.6× 60 933

Countries citing papers authored by Tim Kovacs

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Tim Kovacs

This figure shows the co-authorship network connecting the top 25 collaborators of Tim Kovacs. A scholar is included among the top collaborators of Tim Kovacs 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 Tim Kovacs. Tim Kovacs is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Matsumoto, K, et al.. (2017). XCSR Learning from Compressed Data Acquired by Deep Neural Network. Journal of Advanced Computational Intelligence and Intelligent Informatics. 21(5). 856–867. 6 indexed citations
3.
Wilansky, Pamela, Johan Eklund, David Kreindler, et al.. (2016). Cognitive Behavior Therapy for Anxious and Depressed Youth: Improving Homework Adherence Through Mobile Technology. JMIR Research Protocols. 5(4). e209–e209. 25 indexed citations
4.
Kovacs, Tim, et al.. (2013). GECCO'13: PROCEEDINGS OF THE 2013 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE. Genetic and Evolutionary Computation Conference. 62 indexed citations
5.
Kovacs, Tim, et al.. (2013). Analysis of the niche genetic algorithm in learning classifier systems. 1069–1076. 2 indexed citations
6.
Brown, Gavin, et al.. (2012). Boosting as a Product of Experts. Research Explorer (The University of Manchester). 187–194. 3 indexed citations
7.
Barker, Gary, et al.. (2010). TreeVector: Scalable, Interactive, Phylogenetic Trees for the Web. PLoS ONE. 5(1). e8934–e8934. 25 indexed citations
8.
Santos, Manuel Filipe, et al.. (2009). A grid data mining architecture for learning classifier systems. WSEAS Transactions on Computers archive. 8(5). 820–830. 2 indexed citations
9.
Bacardit, Jaume, Ester Bernadó-Mansilla, Martin V. Butz, et al.. (2008). Learning Classifier Systems: 10th International Workshop, IWLCS 2006, Seattle, MA, USA, July 8, 2006 and 11th International Workshop, IWLCS 2007, London, UK, July 8, 2007, Revised Selected Papers. Springer eBooks. 6 indexed citations
10.
Kovacs, Tim, et al.. (2007). Learning Classifier Systems, International Workshops, IWLCS 2003-2005, Revised Selected Papers. DIAL (Catholic University of Leuven). 4 indexed citations
11.
Planqué, Robert, François‐Xavier Dechaume‐Moncharmont, N. R. Franks, Tim Kovacs, & James A. R. Marshall. (2007). Why do house-hunting ants recruit in both directions?. Die Naturwissenschaften. 94(11). 911–918. 11 indexed citations
12.
Kovacs, Tim & Manfred Kerber. (2006). A Study of Structural and Parametric Learning in XCS. Evolutionary Computation. 14(1). 1–19. 7 indexed citations
13.
Marshall, James A. R. & Tim Kovacs. (2006). A representational ecology for learning classifier systems. Bristol Research (University of Bristol). 1529–1536. 1 indexed citations
14.
Marshall, James A. R., Anna Dornhaus, Nigel R. Franks, & Tim Kovacs. (2005). Noise, cost and speed-accuracy trade-offs: decision-making in a decentralized system. Journal of The Royal Society Interface. 3(7). 243–254. 58 indexed citations
15.
16.
Kovacs, Tim, et al.. (2003). The 2003 Learning Classifier Systems Bibliography. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 1 indexed citations
17.
Kovacs, Tim. (2002). What should a classifier system learn?. 2. 775–782. 4 indexed citations
18.
Butz, Martin V., Tim Kovacs, Pier Luca Lanzi, & Stewart W. Wilson. (2001). How XCS evolves accurate classifiers. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 927–934. 34 indexed citations
19.
Kovacs, Tim, et al.. (2000). Proceedings of the Third International Workshop on Learning Classifier Systems (IWLCS-2000), in the Joint Workshops of SAB 2000 and PPSN 2000. 2 indexed citations
20.
Kovacs, Tim. (1999). Deletion schemes for classifier systems. Bristol Research (University of Bristol). 329–336. 34 indexed citations

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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