Martin V. Butz

6.0k total citations
172 papers, 2.9k citations indexed

About

Martin V. Butz is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Social Psychology. According to data from OpenAlex, Martin V. Butz has authored 172 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Artificial Intelligence, 66 papers in Cognitive Neuroscience and 46 papers in Social Psychology. Recurrent topics in Martin V. Butz's work include Evolutionary Algorithms and Applications (55 papers), Action Observation and Synchronization (44 papers) and Metaheuristic Optimization Algorithms Research (41 papers). Martin V. Butz is often cited by papers focused on Evolutionary Algorithms and Applications (55 papers), Action Observation and Synchronization (44 papers) and Metaheuristic Optimization Algorithms Research (41 papers). Martin V. Butz collaborates with scholars based in Germany, United States and Italy. Martin V. Butz's co-authors include Stewart W. Wilson, Oliver Herbort, Pier Luca Lanzi, David E. Goldberg, Tim Kovacs, Martin Pelikán, Joachim Hoffmann, Anna Belardinelli, Olivier Sigaud and Wolfgang Stolzmann and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Psychological Review.

In The Last Decade

Martin V. Butz

166 papers receiving 2.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Martin V. Butz Germany 30 1.7k 788 656 493 297 172 2.9k
Chrystopher L. Nehaniv United Kingdom 30 1.3k 0.8× 922 1.2× 308 0.5× 1.5k 3.0× 411 1.4× 244 3.6k
Stefano Nolfi Italy 35 2.7k 1.6× 823 1.0× 176 0.3× 392 0.8× 176 0.6× 151 5.0k
René te Boekhorst United Kingdom 18 672 0.4× 534 0.7× 123 0.2× 1.2k 2.4× 130 0.4× 39 1.9k
Stan Franklin United States 24 1.1k 0.7× 1.3k 1.6× 64 0.1× 478 1.0× 138 0.5× 109 2.6k
Tom Ziemke Sweden 28 918 0.6× 1.4k 1.7× 54 0.1× 1.2k 2.5× 295 1.0× 183 3.0k
Frédé́ric Kaplan Switzerland 23 1.0k 0.6× 525 0.7× 39 0.1× 687 1.4× 426 1.4× 119 2.6k
Paul Schrater United States 28 437 0.3× 2.0k 2.5× 109 0.2× 301 0.6× 261 0.9× 102 3.4k
Pierre‐Yves Oudeyer France 24 1.3k 0.8× 1.1k 1.4× 59 0.1× 557 1.1× 718 2.4× 89 3.4k
Ron Sun United States 28 1.6k 0.9× 898 1.1× 54 0.1× 405 0.8× 455 1.5× 122 3.0k
Gerhard Sagerer Germany 27 1.2k 0.7× 389 0.5× 163 0.2× 1.0k 2.1× 118 0.4× 195 2.9k

Countries citing papers authored by Martin V. Butz

Since Specialization
Citations

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

Fields of papers citing papers by Martin V. Butz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Martin V. Butz. 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 Martin V. Butz. The network helps show where Martin V. Butz may publish in the future.

Co-authorship network of co-authors of Martin V. Butz

This figure shows the co-authorship network connecting the top 25 collaborators of Martin V. Butz. A scholar is included among the top collaborators of Martin V. Butz 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 Martin V. Butz. Martin V. Butz 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.
Butz, Martin V., et al.. (2024). Contextualizing predictive minds. Neuroscience & Biobehavioral Reviews. 168. 105948–105948. 1 indexed citations
2.
Durran, Dale R., et al.. (2024). Advancing Parsimonious Deep Learning Weather Prediction Using the HEALPix Mesh. Journal of Advances in Modeling Earth Systems. 16(8). 11 indexed citations
3.
Scontras, Gregory, et al.. (2023). Active Iterative Social Inference in Multi-Trial Signaling Games. Open Mind. 7. 111–129. 1 indexed citations
4.
Butz, Martin V., et al.. (2021). Modeling the Anticipatory Remapping of Spatial Body Representations: A Free Energy Approach. eScholarship (California Digital Library). 43(43). 1 indexed citations
5.
Schroeder, Philipp A., et al.. (2018). How Deep Is Your SNARC? Interactions Between Numerical Magnitude, Response Hands, and Reachability in Peripersonal Space. Frontiers in Psychology. 9. 622–622. 8 indexed citations
6.
Zhao, Mintao, et al.. (2018). Spatial memory for vertical locations.. Journal of Experimental Psychology Learning Memory and Cognition. 45(7). 1205–1223. 1 indexed citations
7.
Zhao, Mintao, et al.. (2017). No advantage for remembering horizontal over vertical spatial locations learned from a single viewpoint. Memory & Cognition. 46(1). 158–171. 8 indexed citations
8.
Butz, Martin V., et al.. (2017). How the Mind Comes into Being. Oxford University Press eBooks. 15 indexed citations
9.
Otte, Sebastian, et al.. (2017). A Computational Model for the Dynamical Learning of Event Taxonomies.. Cognitive Science. 4 indexed citations
10.
Butz, Martin V., et al.. (2016). Learning Behavior-Grounded Event Segmentations.. Cognitive Science. 4 indexed citations
11.
Otte, Sebastian, et al.. (2015). Learning Recurrent Dynamics using Differential Evolution. The European Symposium on Artificial Neural Networks. 23. 1 indexed citations
12.
Layher, Georg, et al.. (2015). Embodied learning of a generative neural model for biological motion perception and inference. Frontiers in Computational Neuroscience. 9. 79–79. 15 indexed citations
13.
Butz, Martin V., et al.. (2014). Modeling perspective-taking by forecasting 3D biological motion sequences. Cognitive Processing. 15. 2 indexed citations
14.
Belardinelli, Anna & Martin V. Butz. (2014). Report on the 35th Annual Cognitive Science Conference. AI Magazine. 35(2). 3 indexed citations
15.
Belardinelli, Anna & Martin V. Butz. (2013). Gaze strategies in object identification and manipulation. Cognitive Science. 35(35). 3 indexed citations
16.
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
17.
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.
Butz, Martin V. & Wolfgang Stolzmann. (2001). An Algorithmic Description of XCS. Lecture notes in computer science. 1996. 253–272. 52 indexed citations
20.
Butz, Martin V. & Martin Pelikán. (2001). Analyzing the evolutionary pressures in XCS. Genetic and Evolutionary Computation Conference. 935–942. 27 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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