Conor Ryan
Impact in
- Artificial Intelligence top 0.2%
- Evolutionary Algorithms and Applications
- Metaheuristic Optimization Algorithms Research
- Reinforcement Learning in Robotics
- Neural Networks and Applications
- Software top 5%
Papers in
-
- Evolutionary Algorithms and Applications 184
- Metaheuristic Optimization Algorithms Research 139
- Reinforcement Learning in Robotics 28
- Algorithms and Data Compression 10
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- Advanced Multi-Objective Optimization Algorithms 24
- Co-authors
- Michael O’Neill (26 shared papers)Raja Muhammad Atif Azad (44 shared papers)Maarten Keijzer (13 shared papers)Ludger Peters (3 shared papers)Amir H. Gandomi (1 shared paper)Amir H. Alavi (1 shared paper)Hammad Majeed (8 shared papers)Miguel Nicolau (12 shared papers)
- Journals
- Lecture notes in computer science (70 papers)Genetic Programming and Evolvable Machines (2 papers)IEEE Access (2 papers)Soft Computing (2 papers)Memetic Computing (2 papers)
- Partner nations
- IrelandUnited StatesBrazil
In The Last Decade
Conor Ryan
277 papers receiving 4.7k citations
Conor Ryan's Hit Papers
Peers
Comparison fields: 5 of 155
- Artificial Intelligence 3.6k
- Software 165
- Computational Theory and Mathematics 541
- Architecture 34
- Hardware and Architecture 107
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 304 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Grammatical evolution Hit paper breakdown → | 2001 | 754 |
| 2 | 1998 | 578 | |
| 3 | Grammatical Evolution: Evolutionary Automatic Programming in an Arbitrary Language | 2003 | 458 |
| 4 | 2003 | 220 | |
| 5 | 2015 | 207 | |
| 6 | 2018 | 180 | |
| 7 | 1969 | 146 | |
| 8 | 2003 | 90 | |
| 9 | 2000 | 71 | |
| 10 | 2000 | 68 | |
| 11 | 2007 | 60 | |
| 12 | 2004 | 54 | |
| 13 | 2003 | 53 | |
| 14 | 2002 | 52 | |
| 15 | 2011 | 47 | |
| 16 | 2002 | 45 | |
| 17 | 2001 | 40 | |
| 18 | 2006 | 37 | |
| 19 | 2003 | 37 | |
| 20 | 2001 | 36 |
About Conor Ryan
Conor Ryan is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Software, Computer Networks and Communications and Hardware and Architecture, having authored 304 papers that have together received 5.0k indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (184 papers), Metaheuristic Optimization Algorithms Research (139 papers), Reinforcement Learning in Robotics (28 papers), Advanced Multi-Objective Optimization Algorithms (24 papers), Viral Infectious Diseases and Gene Expression in Insects (19 papers), Algorithms and Data Compression (10 papers), Advanced Data Storage Technologies (10 papers) and Software Testing and Debugging Techniques (9 papers). The work is most often cited by research in Artificial Intelligence (3.6k citations), Software (165 citations), Computational Theory and Mathematics (541 citations), Architecture (34 citations) and Hardware and Architecture (107 citations). Conor Ryan has collaborated with scholars based in Ireland, United States and Brazil. Frequent co-authors include Michael O’Neill, Raja Muhammad Atif Azad, Maarten Keijzer, Ludger Peters, Amir H. Gandomi, Amir H. Alavi, Hammad Majeed, Miguel Nicolau, Michael P. O'Neil and Aidan Murphy. Their work appears in journals such as Lecture notes in computer science, Genetic Programming and Evolvable Machines, IEEE Access, Soft Computing 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.