Peter A. Whigham
Impact in
- Artificial Intelligence top 2%
- Evolutionary Algorithms and Applications
- Metaheuristic Optimization Algorithms Research
- Reinforcement Learning in Robotics
- Environmental Engineering top 5%
- Hydrological Forecasting Using AI
Papers in
-
- Evolutionary Algorithms and Applications 33
- Metaheuristic Optimization Algorithms Research 26
- Neural Networks and Applications 8
- Genetics 25
- Evolution and Genetic Dynamics 23
- Co-authors
- Grant Dick (34 shared papers)P.F. Crapper (2 shared papers)Friedrich Recknagel (6 shared papers)Nguyễn Xuân Hoài (1 shared paper)Michael O’Neill (1 shared paper)Kwang‐Seuk Jeong (2 shared papers)Gea‐Jae Joo (2 shared papers)Kypros Kypri (3 shared papers)
- Journals
- Genetic Programming and Evolvable Machines (6 papers)Ecological Modelling (5 papers)Austral Ecology (3 papers)IEEE Transactions on Evolutionary Computation (3 papers)Scientometrics (3 papers)
- Partner nations
- New ZealandAustraliaUnited States
In The Last Decade
Peter A. Whigham
104 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 129
- Artificial Intelligence 872
- Environmental Engineering 261
- Software 76
- Water Science and Technology 194
- Nature and Landscape Conservation 156
Countries citing papers authored by Peter A. Whigham
This map shows the geographic impact of Peter A. Whigham'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 Peter A. Whigham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter A. Whigham more than expected).
Fields of papers citing papers by Peter A. Whigham
This network shows the impact of papers produced by Peter A. Whigham. 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 Peter A. Whigham. The network helps show where Peter A. Whigham may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter A. Whigham, 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 115 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 288 | |
| 2 | 2001 | 146 | |
| 3 | 1995 | 130 | |
| 4 | 1996 | 80 | |
| 5 | 2009 | 76 | |
| 6 | 2015 | 70 | |
| 7 | 2002 | 66 | |
| 8 | 2003 | 53 | |
| 9 | 2007 | 52 | |
| 10 | 2009 | 49 | |
| 11 | 2001 | 46 | |
| 12 | 2001 | 39 | |
| 13 | Time series modeling using genetic programming: an application to rainfall-runoff models | 1999 | 36 |
| 14 | 2015 | 34 | |
| 15 | 2002 | 34 | |
| 16 | 2000 | 27 | |
| 17 | 2007 | 26 | |
| 18 | 2015 | 25 | |
| 19 | 2008 | 23 | |
| 20 | 2017 | 21 |
About Peter A. Whigham
Peter A. Whigham is a scholar working on Artificial Intelligence, Genetics, Nature and Landscape Conservation, Sociology and Political Science and Molecular Biology, having authored 115 papers that have together received 1.8k indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (33 papers), Metaheuristic Optimization Algorithms Research (26 papers), Evolution and Genetic Dynamics (23 papers), Evolutionary Game Theory and Cooperation (12 papers), Ecology and Vegetation Dynamics Studies (10 papers), Complex Systems and Time Series Analysis (8 papers), Fish Ecology and Management Studies (8 papers) and Neural Networks and Applications (8 papers). The work is most often cited by research in Artificial Intelligence (872 citations), Environmental Engineering (261 citations), Software (76 citations), Water Science and Technology (194 citations) and Nature and Landscape Conservation (156 citations). Peter A. Whigham has collaborated with scholars based in New Zealand, Australia and United States. Frequent co-authors include Grant Dick, P.F. Crapper, Friedrich Recknagel, Nguyễn Xuân Hoài, Michael O’Neill, Kwang‐Seuk Jeong, Gea‐Jae Joo, Kypros Kypri, John Langley and Stephen G. MacDonell. Their work appears in journals such as Genetic Programming and Evolvable Machines, Ecological Modelling, Austral Ecology, IEEE Transactions on Evolutionary Computation and Scientometrics.
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.