Michael O’Neill
Impact in
- Artificial Intelligence top 0.1%
- Evolutionary Algorithms and Applications
- Metaheuristic Optimization Algorithms Research
- Reinforcement Learning in Robotics
- Artificial Intelligence in Games
- Architecture top 0.5%
Papers in
-
- Evolutionary Algorithms and Applications 223
- Metaheuristic Optimization Algorithms Research 160
- Reinforcement Learning in Robotics 46
- Co-authors
- Conor Ryan (28 shared papers)Anthony Brabazon (172 shared papers)Miguel Nicolau (39 shared papers)Nguyễn Xuân Hoài (11 shared papers)James McDermott (35 shared papers)Edgar Galván (18 shared papers)Ian Dempsey (12 shared papers)Erik Hemberg (32 shared papers)
- Journals
- Genetic Programming and Evolvable Machines (16 papers)Lecture notes in computer science (92 papers)Information Sciences (4 papers)Journal of Accounting Literature (3 papers)IEEE Transactions on Evolutionary Computation (3 papers)
- Partner nations
- IrelandUnited StatesUnited Kingdom
In The Last Decade
Michael O’Neill
359 papers receiving 7.0k citations
Michael O’Neill's Hit Papers
Peers
Comparison fields: 5 of 189
- Artificial Intelligence 5.3k
- Architecture 123
- Software 180
- Computational Theory and Mathematics 689
- Management Science and Operations Research 499
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 377 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Grammatical evolution Hit paper breakdown → | 2001 | 763 |
| 2 | 2003 | 458 | |
| 3 | 2010 | 288 | |
| 4 | 2003 | 219 | |
| 5 | 2010 | 217 | |
| 6 | 2010 | 177 | |
| 7 | 2006 | 172 | |
| 8 | 2008 | 169 | |
| 9 | 1978 | 140 | |
| 10 | 2009 | 128 | |
| 11 | 1978 | 119 | |
| 12 | 2012 | 98 | |
| 13 | 1989 | 95 | |
| 14 | 2003 | 89 | |
| 15 | 2017 | 88 | |
| 16 | 2015 | 84 | |
| 17 | Biologically Inspired Algorithms for Financial Modelling (Natural Computing Series) | 2005 | 84 |
| 18 | 2006 | 75 | |
| 19 | 2009 | 75 | |
| 20 | 2008 | 63 |
About Michael O’Neill
Michael O’Neill is a scholar working on Artificial Intelligence, Molecular Biology, Management Science and Operations Research, Genetics and Economics and Econometrics, having authored 377 papers that have together received 7.6k indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (223 papers), Metaheuristic Optimization Algorithms Research (160 papers), Reinforcement Learning in Robotics (46 papers), Evolution and Genetic Dynamics (31 papers), Stock Market Forecasting Methods (31 papers), Music Technology and Sound Studies (29 papers), Complex Systems and Time Series Analysis (25 papers) and Music and Audio Processing (22 papers). The work is most often cited by research in Artificial Intelligence (5.3k citations), Architecture (123 citations), Software (180 citations), Computational Theory and Mathematics (689 citations) and Management Science and Operations Research (499 citations). Michael O’Neill has collaborated with scholars based in Ireland, United States and United Kingdom. Frequent co-authors include Conor Ryan, Anthony Brabazon, Miguel Nicolau, Nguyễn Xuân Hoài, James McDermott, Edgar Galván, Ian Dempsey, Erik Hemberg, William S. York and David Fagan. Their work appears in journals such as Genetic Programming and Evolvable Machines, Lecture notes in computer science, Information Sciences, Journal of Accounting Literature and IEEE Transactions on Evolutionary Computation.
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.