Conor Ryan
Impact in
- Artificial Intelligence top 0.5%
- Evolutionary Algorithms and Applications
- Metaheuristic Optimization Algorithms Research
- Reinforcement Learning in Robotics
- Neural Networks and Applications
-
- Advanced Multi-Objective Optimization Algorithms
Papers in
-
- Evolutionary Algorithms and Applications 109
- Metaheuristic Optimization Algorithms Research 76
- Reinforcement Learning in Robotics 17
-
- Viral Infectious Diseases and Gene Expression in Insects 11
- Co-authors
- Michael O’Neill (14 shared papers)L. Peters (4 shared papers)Amir H. Alavi (1 shared paper)Amir H. Gandomi (1 shared paper)R. Muhammad Atif Azad (28 shared papers)Aidan Murphy (15 shared papers)Niall O’Mahony (2 shared papers)J. L. Walsh (2 shared papers)
- Journals
- Genetic Programming and Evolvable Machines (3 papers)IEEE Transactions on Antennas and Propagation (2 papers)Soft Computing (2 papers)IEEE Access (2 papers)Memetic Computing (2 papers)
- Partner nations
- IrelandUnited StatesBrazil
In The Last Decade
Conor Ryan
174 papers receiving 2.5k citations
Conor Ryan's Hit Papers
Peers
Comparison fields: 5 of 149
- Artificial Intelligence 1.6k
- Computational Theory and Mathematics 275
- Software 62
- Computer Vision and Pattern Recognition 203
- Automotive Engineering 114
Countries citing papers authored by Conor Ryan
This map shows the geographic impact of Conor Ryan'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 Conor Ryan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Conor Ryan more than expected).
Fields of papers citing papers by Conor Ryan
This network shows the impact of papers produced by Conor Ryan. 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 Conor Ryan. The network helps show where Conor Ryan may publish in the future.
Co-authors
The 25 scholars most cited alongside Conor Ryan, 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 190 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Grammatical evolution Hit paper breakdown → | 2001 | 566 |
| 2 | 2003 | 315 | |
| 3 | 2015 | 196 | |
| 4 | 2018 | 165 | |
| 5 | 1969 | 142 | |
| 6 | 2003 | 114 | |
| 7 | 2003 | 59 | |
| 8 | 2000 | 53 | |
| 9 | 2000 | 52 | |
| 10 | 2007 | 50 | |
| 11 | 2011 | 44 | |
| 12 | 2018 | 44 | |
| 13 | 2005 | 29 | |
| 14 | 2022 | 27 | |
| 15 | Under the hood of grammatical evolution | 1999 | 25 |
| 16 | 2019 | 25 | |
| 17 | 2002 | 24 | |
| 18 | 2013 | 22 | |
| 19 | 2002 | 21 | |
| 20 | Adaptive logic programming | 2001 | 20 |
About Conor Ryan
Conor Ryan is a scholar working on Artificial Intelligence, Molecular Biology, Computational Theory and Mathematics, Electrical and Electronic Engineering and Aerospace Engineering, having authored 190 papers that have together received 2.7k indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (109 papers), Metaheuristic Optimization Algorithms Research (76 papers), Reinforcement Learning in Robotics (17 papers), Advanced Multi-Objective Optimization Algorithms (14 papers), Viral Infectious Diseases and Gene Expression in Insects (11 papers), Antenna Design and Analysis (8 papers), Electromagnetic Scattering and Analysis (7 papers) and Advanced Antenna and Metasurface Technologies (7 papers). The work is most often cited by research in Artificial Intelligence (1.6k citations), Computational Theory and Mathematics (275 citations), Software (62 citations), Computer Vision and Pattern Recognition (203 citations) and Automotive Engineering (114 citations). Conor Ryan has collaborated with scholars based in Ireland, United States and Brazil. Frequent co-authors include Michael O’Neill, L. Peters, Amir H. Alavi, Amir H. Gandomi, R. Muhammad Atif Azad, Aidan Murphy, Niall O’Mahony, J. L. Walsh, Sean Campbell and Daniel Riordan. Their work appears in journals such as Genetic Programming and Evolvable Machines, IEEE Transactions on Antennas and Propagation, Soft Computing, IEEE Access and Memetic 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.