William B. Langdon
Impact in
- Software top 0.5%
- Software Testing and Debugging Techniques
- Software Reliability and Analysis Research
- Artificial Intelligence top 0.2%
- Evolutionary Algorithms and Applications
- Metaheuristic Optimization Algorithms Research
- Reinforcement Learning in Robotics
Papers in
-
- Evolutionary Algorithms and Applications 108
- Metaheuristic Optimization Algorithms Research 70
- Reinforcement Learning in Robotics 15
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- Viral Infectious Diseases and Gene Expression in Insects 27
- Gene expression and cancer classification 10
- Co-authors
- Riccardo Poli (29 shared papers)Nicholas Freitag McPhee (4 shared papers)Mark Harman (24 shared papers)Yue Jia (8 shared papers)Justyna Petke (17 shared papers)Bernard F. Buxton (5 shared papers)Wolfgang Banzhaf (9 shared papers)David R. White (3 shared papers)
- Journals
- Genetic Programming and Evolvable Machines (16 papers)IEEE Transactions on Evolutionary Computation (3 papers)Natural Computing (2 papers)Briefings in Bioinformatics (2 papers)Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics (2 papers)
- Partner nations
- United KingdomUnited StatesNetherlands
In The Last Decade
William B. Langdon
149 papers receiving 5.0k citations
William B. Langdon's Hit Papers
Peers
Comparison fields: 5 of 175
- Software 891
- Artificial Intelligence 3.1k
- Computational Theory and Mathematics 674
- Information Systems 880
- Signal Processing 251
Countries citing papers authored by William B. Langdon
This map shows the geographic impact of William B. Langdon'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 William B. Langdon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William B. Langdon more than expected).
Fields of papers citing papers by William B. Langdon
This network shows the impact of papers produced by William B. Langdon. 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 William B. Langdon. The network helps show where William B. Langdon may publish in the future.
Co-authors
The 25 scholars most cited alongside William B. Langdon, 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 160 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A Field Guide to Genetic Programming Hit paper breakdown → | 2008 | 1079 |
| 2 | Foundations of Genetic Programming Hit paper breakdown → | 2002 | 550 |
| 3 | Performance of genetic programming optimised Bowtie2 on genome comparison and analytic testing (GCAT) benchmarks Hit paper breakdown → | 2015 | 415 |
| 4 | Proceedings of the 3rd Annual Conference on Genetic and Evolutionary Computation | 2001 | 160 |
| 5 | 2017 | 150 | |
| 6 | 2014 | 141 | |
| 7 | 2004 | 122 | |
| 8 | 2011 | 109 | |
| 9 | 2014 | 104 | |
| 10 | 1998 | 100 | |
| 11 | 2010 | 97 | |
| 12 | 2007 | 97 | |
| 13 | 2000 | 88 | |
| 14 | Why Ants are Hard | 1998 | 77 |
| 15 | 2016 | 68 | |
| 16 | 2012 | 66 | |
| 17 | Quadratic bloat in genetic programming | 2000 | 58 |
| 18 | Proceedings of the 4th Annual Conference on Genetic and Evolutionary Computation | 2002 | 54 |
| 19 | 2002 | 53 | |
| 20 | 2010 | 53 |
About William B. Langdon
William B. Langdon is a scholar working on Artificial Intelligence, Molecular Biology, Software, Computational Theory and Mathematics and Information Systems, having authored 160 papers that have together received 5.3k indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (108 papers), Metaheuristic Optimization Algorithms Research (70 papers), Software Testing and Debugging Techniques (27 papers), Viral Infectious Diseases and Gene Expression in Insects (27 papers), Software Engineering Research (21 papers), Reinforcement Learning in Robotics (15 papers), Advanced Multi-Objective Optimization Algorithms (11 papers) and Gene expression and cancer classification (10 papers). The work is most often cited by research in Software (891 citations), Artificial Intelligence (3.1k citations), Computational Theory and Mathematics (674 citations), Information Systems (880 citations) and Signal Processing (251 citations). William B. Langdon has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Riccardo Poli, Nicholas Freitag McPhee, Mark Harman, Yue Jia, Justyna Petke, Bernard F. Buxton, Wolfgang Banzhaf, David R. White, Andrew Harrison and Lee Spector. Their work appears in journals such as Genetic Programming and Evolvable Machines, IEEE Transactions on Evolutionary Computation, Natural Computing, Briefings in Bioinformatics and Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics.
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.