Michael O’Neill
Impact in
- Artificial Intelligence top 0.2%
- Evolutionary Algorithms and Applications
- Metaheuristic Optimization Algorithms Research
- Reinforcement Learning in Robotics
- Artificial Intelligence in Games
- Neural Networks and Applications
- Architecture top 1%
Papers in
-
- Evolutionary Algorithms and Applications 123
- Metaheuristic Optimization Algorithms Research 86
- Reinforcement Learning in Robotics 26
- Artificial Intelligence in Games 15
- Co-authors
- Conor Ryan (14 shared papers)Anthony Brabazon (89 shared papers)Nguyễn Xuân Hoài (7 shared papers)William S. York (1 shared paper)Miguel Nicolau (23 shared papers)Edgar Galván (11 shared papers)Ian Dempsey (6 shared papers)Erik Hemberg (21 shared papers)
- Journals
- Genetic Programming and Evolvable Machines (16 papers)Information Sciences (4 papers)IEEE Transactions on Evolutionary Computation (3 papers)Journal of Accounting Literature (3 papers)Soft Computing (2 papers)
- Partner nations
- IrelandUnited StatesUnited Kingdom
In The Last Decade
Michael O’Neill
206 papers receiving 4.0k citations
Michael O’Neill's Hit Papers
Peers
Comparison fields: 5 of 177
- Artificial Intelligence 2.8k
- Architecture 72
- Computational Theory and Mathematics 425
- Software 97
- Management Science and Operations Research 268
Countries citing papers authored by Michael O’Neill
This map shows the geographic impact of Michael O’Neill'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 Michael O’Neill with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael O’Neill more than expected).
Fields of papers citing papers by Michael O’Neill
This network shows the impact of papers produced by Michael O’Neill. 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 Michael O’Neill. The network helps show where Michael O’Neill may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael O’Neill, 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 223 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Grammatical evolution Hit paper breakdown → | 2001 | 571 |
| 2 | 2003 | 316 | |
| 3 | 2010 | 203 | |
| 4 | 2010 | 169 | |
| 5 | 2008 | 147 | |
| 6 | 2010 | 134 | |
| 7 | 1978 | 116 | |
| 8 | 2003 | 114 | |
| 9 | 1978 | 113 | |
| 10 | 2006 | 104 | |
| 11 | 1989 | 86 | |
| 12 | 2009 | 84 | |
| 13 | 2012 | 79 | |
| 14 | 2015 | 62 | |
| 15 | 2003 | 60 | |
| 16 | 2006 | 60 | |
| 17 | 2017 | 60 | |
| 18 | 1997 | 54 | |
| 19 | 2008 | 44 | |
| 20 | 2018 | 44 |
About Michael O’Neill
Michael O’Neill is a scholar working on Artificial Intelligence, Molecular Biology, Genetics, Computer Vision and Pattern Recognition and Management Science and Operations Research, having authored 223 papers that have together received 4.4k indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (123 papers), Metaheuristic Optimization Algorithms Research (86 papers), Reinforcement Learning in Robotics (26 papers), Evolution and Genetic Dynamics (20 papers), Music Technology and Sound Studies (19 papers), Artificial Intelligence in Games (15 papers), Stock Market Forecasting Methods (14 papers) and Advanced Multi-Objective Optimization Algorithms (11 papers). The work is most often cited by research in Artificial Intelligence (2.8k citations), Architecture (72 citations), Computational Theory and Mathematics (425 citations), Software (97 citations) and Management Science and Operations Research (268 citations). Michael O’Neill has collaborated with scholars based in Ireland, United States and United Kingdom. Frequent co-authors include Conor Ryan, Anthony Brabazon, Nguyễn Xuân Hoài, William S. York, Miguel Nicolau, Edgar Galván, Ian Dempsey, Erik Hemberg, John Bienenstock and James McDermott. Their work appears in journals such as Genetic Programming and Evolvable Machines, Information Sciences, IEEE Transactions on Evolutionary Computation, Journal of Accounting Literature and Soft Computing.
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.