Conor Ryan

6.6k citations
305 papers · 5.2k · 2 hit papers · h-index 29

Impact in

    • 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 189
    • Metaheuristic Optimization Algorithms Research 142
    • Reinforcement Learning in Robotics 28
    • Artificial Intelligence in Games 9
    • Algorithms and Data Compression 9
    • Viral Infectious Diseases and Gene Expression in Insects 19

Conor Ryan

283 papers receiving 4.8k citations

Conor Ryan's Hit Papers

Grammatical evolution 2001 · 763 citations
7630+9+18Years since publication250500750

Peers

Conor Ryan
Comparison fields: 5 of 156
  • Artificial Intelligence 3.7k
  • Software 163
  • Computational Theory and Mathematics 556
  • Architecture 34
  • Hardware and Architecture 106
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Citations per year

Countries citing papers authored by Conor Ryan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Conor Ryan Line = papers co-authored together Conor Ryan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 305 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Grammatical evolution
Hit paper breakdown →
2001763
2
Grammatical evolution: Evolving programs for an arbitrary language
Hit paper breakdown →
1998579
3 2003458
4 2003219
5 2015207
6 2018178
7 1969148
8 200389
9 200074
10 200064
11 200756
12 200355
13 200454
14 201854
15 200252
16 201148
17 200246
18 200139
19 200637
20 200337

About Conor Ryan

Conor Ryan is a scholar working on Artificial Intelligence, Molecular Biology, Computational Theory and Mathematics, Electrical and Electronic Engineering and Computer Networks and Communications, having authored 305 papers that have together received 5.2k indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (189 papers), Metaheuristic Optimization Algorithms Research (142 papers), Reinforcement Learning in Robotics (28 papers), Advanced Multi-Objective Optimization Algorithms (23 papers), Viral Infectious Diseases and Gene Expression in Insects (19 papers), Advanced Data Storage Technologies (10 papers), Artificial Intelligence in Games (9 papers) and Algorithms and Data Compression (9 papers). The work is most often cited by research in Artificial Intelligence (3.7k citations), Software (163 citations), Computational Theory and Mathematics (556 citations), Architecture (34 citations) and Hardware and Architecture (106 citations). Conor Ryan has collaborated with scholars based in Ireland, United States and Brazil. Frequent co-authors include Michael O’Neill, R. Muhammad Atif Azad, Maarten Keijzer, L. Peters, Amir H. Gandomi, Amir H. Alavi, Miguel Nicolau, Hammad Majeed, Michael 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 IEEE Transactions on Antennas and Propagation.

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.

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