Conor Ryan

6.5k total citations · 1 hit paper
190 papers, 2.7k citations indexed

About

Conor Ryan is a scholar working on Artificial Intelligence, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Conor Ryan has authored 190 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 127 papers in Artificial Intelligence, 25 papers in Molecular Biology and 20 papers in Computational Theory and Mathematics. Recurrent topics in Conor Ryan's work include Evolutionary Algorithms and Applications (109 papers), Metaheuristic Optimization Algorithms Research (76 papers) and Reinforcement Learning in Robotics (17 papers). Conor Ryan is often cited by papers focused on Evolutionary Algorithms and Applications (109 papers), Metaheuristic Optimization Algorithms Research (76 papers) and Reinforcement Learning in Robotics (17 papers). Conor Ryan collaborates with scholars based in Ireland, United States and Brazil. Conor Ryan's co-authors include Michael O’Neill, L. Peters, Amir H. Alavi, Amir H. Gandomi, R. Muhammad Atif Azad, Aidan Murphy, Sean Campbell, Daniel Riordan, J. L. Walsh and Niall O’Mahony and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

Conor Ryan

174 papers receiving 2.5k citations

Hit Papers

Grammatical evolution 2001 2026 2009 2017 2001 100 200 300 400 500

Peers

Conor Ryan
Comparison fields: 5 of 149
  • Artificial Intelligence 1.6k
  • Molecular Biology 400
  • Electrical and Electronic Engineering 361
  • Computational Theory and Mathematics 275
  • Aerospace Engineering 229
Replace James E. Baker with:
James E. Baker United States
Chee Lap Chow Singapore
Marc Parizeau Canada
Marc Schoenauer France
Michael Georgiopoulos United States
Sibylle D. Müller Switzerland
Marc-André Gardner Canada
Heinz Mühlenbein Germany
Adam Słowik Poland
Di Ma China
James E. Baker United States View profile →
Citations per field, relative to Conor Ryan
Conor Ryan · 1×
Citations per year, relative to Conor Ryan
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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-authorship network of co-authors of Conor Ryan

This figure shows the co-authorship network connecting the top 25 collaborators of Conor Ryan. A scholar is included among the top collaborators of Conor Ryan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Conor Ryan. Conor Ryan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 3
4 1
5 4
6 2
7 1
8
A GAuGE Approach to Learning DFA from Noisy Samples
1
9
Investigating Degenerate Code and Gene Dependency in the GAuGE System
1
10
LINKGAUGE: tackling hard deceptive problems with a new linkage learning genetic algorithm
3
11
On the use of Gene Dependency to Avoid Deceptive Traps
1
12
Machine Vision: Exploring Context With Genetic Programming
0
13
Grammatical Evolution And Corporate Failure Prediction
9
14
Grammar defined introns: an investigation into grammars, introns, and bias in Grammatical Evolution
10
15
Adaptive logic programming
20
16
Genetic programming : 4th European conference, EuroGP 2001, Lake Como, Italy, April 18-20, 2001 : proceedings
0
17
Developing a market timing system using Grammatical Evolution
8
18
GP-Beagle: A Benchmarking Problem Repository for the Genetic Programming Community
6
19
Grammar based function definition in Grammatical Evolution.
14
20
Under the hood of grammatical evolution
25

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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