Wolfgang Banzhaf

16.1k total citations · 4 hit papers
231 papers, 7.7k citations indexed

About

Wolfgang Banzhaf is a scholar working on Artificial Intelligence, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Wolfgang Banzhaf has authored 231 papers receiving a total of 7.7k indexed citations (citations by other indexed papers that have themselves been cited), including 155 papers in Artificial Intelligence, 61 papers in Molecular Biology and 29 papers in Computational Theory and Mathematics. Recurrent topics in Wolfgang Banzhaf's work include Evolutionary Algorithms and Applications (126 papers), Metaheuristic Optimization Algorithms Research (85 papers) and Reinforcement Learning in Robotics (26 papers). Wolfgang Banzhaf is often cited by papers focused on Evolutionary Algorithms and Applications (126 papers), Metaheuristic Optimization Algorithms Research (85 papers) and Reinforcement Learning in Robotics (26 papers). Wolfgang Banzhaf collaborates with scholars based in Canada, United States and Germany. Wolfgang Banzhaf's co-authors include Peter Nordin, Robert E. Keller, Markus Brameier, Frank D. Francone, Peter Dittrich, Riccardo Poli, Terence C. Fogarty, Jens Ziegler, Yuan Yuan and Marc Schoenauer and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Wolfgang Banzhaf

208 papers receiving 7.1k citations

Hit Papers

Genetic programming - An ... 1997 2026 2006 2016 1998 1997 2009 2019 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wolfgang Banzhaf Canada 36 4.6k 1.8k 1.1k 778 638 231 7.7k
John R. Koza United States 25 7.4k 1.6× 1.7k 1.0× 1.5k 1.4× 474 0.6× 642 1.0× 74 11.8k
David B. Fogel United States 43 5.5k 1.2× 846 0.5× 1.9k 1.7× 624 0.8× 742 1.2× 170 10.0k
Neil D. Lawrence United Kingdom 49 3.8k 0.8× 1.2k 0.7× 722 0.7× 313 0.4× 1.8k 2.9× 172 8.4k
Saman Halgamuge Australia 41 2.9k 0.6× 931 0.5× 1.2k 1.1× 669 0.9× 608 1.0× 245 8.7k
William B. Langdon United Kingdom 34 3.1k 0.7× 1.3k 0.7× 679 0.6× 266 0.3× 227 0.4× 157 5.3k
Sanghamitra Bandyopadhyay India 45 5.2k 1.1× 2.8k 1.5× 1.5k 1.4× 393 0.5× 2.0k 3.1× 239 10.3k
Thomas Bäck Netherlands 39 6.4k 1.4× 743 0.4× 3.9k 3.6× 868 1.1× 811 1.3× 315 12.3k
Sungroh Yoon South Korea 40 1.5k 0.3× 2.7k 1.5× 421 0.4× 555 0.7× 1.0k 1.6× 234 7.2k
Iñaki Inza Spain 29 2.9k 0.6× 2.8k 1.5× 710 0.7× 207 0.3× 1.1k 1.7× 62 7.4k
Darrell Whitley United States 31 3.2k 0.7× 356 0.2× 1.2k 1.1× 925 1.2× 559 0.9× 143 7.6k

Countries citing papers authored by Wolfgang Banzhaf

Since Specialization
Citations

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

Fields of papers citing papers by Wolfgang Banzhaf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wolfgang Banzhaf. 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 Wolfgang Banzhaf. The network helps show where Wolfgang Banzhaf may publish in the future.

Co-authorship network of co-authors of Wolfgang Banzhaf

This figure shows the co-authorship network connecting the top 25 collaborators of Wolfgang Banzhaf. A scholar is included among the top collaborators of Wolfgang Banzhaf 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 Wolfgang Banzhaf. Wolfgang Banzhaf 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.
Banzhaf, Wolfgang, et al.. (2024). Data Sampling via Active Learning in Cartesian Genetic Programming for Biomedical Data. SPIRE - Sciences Po Institutional REpository. 90. 1–8.
2.
Banzhaf, Wolfgang. (2024). “The physics of evolution” by Michael W. Roth, Crc press, 2023. Genetic Programming and Evolvable Machines. 25(2). 1 indexed citations
3.
Banzhaf, Wolfgang, et al.. (2023). Active Learning Informs Symbolic Regression Model Development in Genetic Programming. 587–590. 3 indexed citations
4.
Vega, Francisco Fernández de, Gustavo Olague, Daniel Carlos Ferreira Lanza, et al.. (2020). Time and Individual Duration in Genetic Programming. IEEE Access. 8. 38692–38713. 9 indexed citations
5.
Brameier, Markus & Wolfgang Banzhaf. (2006). Linear Genetic Programming (Genetic and Evolutionary Computation). Springer eBooks. 28 indexed citations
6.
Banzhaf, Wolfgang, et al.. (2004). Repeated Sequences in Linear GP Genomes. UCL Discovery (University College London). 3 indexed citations
7.
Ziegler, Jens, Krister Wolff, Peter Nordin, & Wolfgang Banzhaf. (2001). Constructing a small humanoid walking robot as a platform for the genetic evolution of walking. Chalmers Publication Library (Chalmers University of Technology). 51. 5 indexed citations
8.
Brameier, Markus, Frank Hoffmann, Peter Nordin, Wolfgang Banzhaf, & Frank D. Francone. (1999). Parallel machine code genetic programming. Genetic and Evolutionary Computation Conference. 66(1). 1228–1228. 2 indexed citations
9.
Francone, Frank D., et al.. (1999). Homologous crossover in genetic programming. Genetic and Evolutionary Computation Conference. 104. 1021–1026. 30 indexed citations
10.
Banzhaf, Wolfgang, et al.. (1999). GECCO-99 : proceedings of the Genetic and Evolutionary Computation Conference : a joint meeting of the Eighth International Conference on Genetic Algorithms (ICGA-99) and the Fourth Annual Genetic Programming Conference (GP-99), July 13-17, 1999, Orlando, Florida. 4 indexed citations
11.
Keller, Robert E. & Wolfgang Banzhaf. (1999). The evolution of genetic code in Genetic Programming. Genetic and Evolutionary Computation Conference. 1077–1082. 32 indexed citations
12.
Bull, Larry, et al.. (1999). A genetic programming-based classifier system. UWE Research Repository (UWE Bristol). 34 indexed citations
13.
Dittrich, Peter, et al.. (1999). Dynamical properties of the fitness landscape of a GP controlled random morphology robot. PUB – Publications at Bielefeld University (Bielefeld University). 1002–1008. 2 indexed citations
14.
Banzhaf, Wolfgang, Riccardo Poli, Marc Schoenauer, & Terence C. Fogarty. (1998). Proceedings of the Second European Workshop on Genetic Programming. Canadian Medical Education Journal. 13(1). 55–64.
15.
16.
Nordin, Peter & Wolfgang Banzhaf. (1995). Complexity Compression and Evolution. international conference on Genetic algorithms. 310–317. 119 indexed citations
17.
Nordin, Peter & Wolfgang Banzhaf. (1995). Evolving Turing-Complete Programs for a Register Machine with Self-modifying Code. international conference on Genetic algorithms. 318–327. 51 indexed citations
18.
Banzhaf, Wolfgang. (1993). Genetic Programming for Pedestrians. international conference on Genetic algorithms. 628. 27 indexed citations
19.
Iwamoto, Takashi, Wolfgang Banzhaf, & Kazuo Kyuma. (1993). Topological Aspects in Genetic Algorithms. international conference on Genetic algorithms. 638.
20.
Banzhaf, Wolfgang & H. Haken. (1991). An energy function for specialization. MIT Press eBooks. 257–264.

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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