Michael O’Neill

21.6k total citations · 1 hit paper
223 papers, 4.4k citations indexed

About

Michael O’Neill is a scholar working on Artificial Intelligence, Molecular Biology and Genetics. According to data from OpenAlex, Michael O’Neill has authored 223 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 135 papers in Artificial Intelligence, 24 papers in Molecular Biology and 24 papers in Genetics. Recurrent topics in Michael O’Neill's work include Evolutionary Algorithms and Applications (123 papers), Metaheuristic Optimization Algorithms Research (86 papers) and Reinforcement Learning in Robotics (26 papers). Michael O’Neill is often cited by papers focused on Evolutionary Algorithms and Applications (123 papers), Metaheuristic Optimization Algorithms Research (86 papers) and Reinforcement Learning in Robotics (26 papers). Michael O’Neill collaborates with scholars based in Ireland, United States and United Kingdom. Michael O’Neill's co-authors include Conor Ryan, Anthony Brabazon, Nguyễn Xuân Hoài, Bob McKay, William S. York, Miguel Nicolau, Edgar Galván, Ian Dempsey, John Bienenstock and James McDermott and has published in prestigious journals such as Cell, Nucleic Acids Research and SHILAP Revista de lepidopterología.

In The Last Decade

Michael O’Neill

206 papers receiving 4.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Grammatical evolution

2001 566 citations Michael O’Neill, Conor Ryan IEEE Transactions on Evolutionary Computation profile →

Peers

Countries citing papers authored by Michael O’Neill

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Michael O’Neill

This figure shows the co-authorship network connecting the top 25 collaborators of Michael O’Neill. A scholar is included among the top collaborators of Michael O’Neill 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 Michael O’Neill. Michael O’Neill is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Automatic programming: The open issue? 2019 ·Genetic Programming and Evolvable Machines ·Michael O’Neill, Lee Spector	10
2	A Survey of Statistical Machine Learning Elements in Genetic Programming 2019 ·IEEE Transactions on Evolutionary Computation ·Alexandros Agapitos, (unknown), Miguel Nicolau, Simon M. Lucas, Michael O’Neill, Anthony Brabazon	18
3	Is Computational Creativity Domain-General? 2018 ·ICCC ·(unknown), Michael O’Neill	0
4	Application Domains Considered in Computational Creativity. 2017 ·ICCC ·(unknown), Michael O’Neill	6
5	Evolving Personalized Content for Super Mario Bros Using Grammatical Evolution 2012 ·Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment ·Noor Shaker, Georgios N. Yannakakis, Julian Togelius, Miguel Nicolau, Michael O’Neill	33
6	'A Double Face of False and True': Poetry and Religion in Shelley 2011 ·Literature and Theology ·Michael O’Neill	2
7	Global stability of equilibria 2009 ·The Journal of Difference Equations and Applications ·Massimo Furi, (unknown), Michael O’Neill	3
8	GEVA - Grammatical Evolution in Java (v1.0) 2008 ·Research Repository UCD (University College Dublin) ·Michael O’Neill, Erik Hemberg, (unknown), (unknown), James McDermott, Anthony Brabazon	4
9	The Fixed and the Fluid: Identity in Byron and Shelley 2008 ·The Byron Journal ·Michael O’Neill	0
10	Genetic programming : 11th European conference, EuroGP 2008, Naples, Italy, March 26-28, 2008 : proceedings 2008 ·Springer eBooks ·Michael O’Neill	2
11	Grammatical Differential Evolution. 2006 ·International Conference on Artificial Intelligence ·Michael O’Neill, Anthony Brabazon	30
12	Diagnosing corporate stability using grammatical evolution 2004 ·International Journal of Applied Mathematics and Computer Science ·Anthony Brabazon, Michael O’Neill	12
13	A Grammar Model for Foreign-Exchange Trading. 2003 ·International Conference on Artificial Intelligence ·Anthony Brabazon, Michael O’Neill	6
14	Grammatical Evolution And Corporate Failure Prediction 2002 ·Genetic and Evolutionary Computation Conference ·Anthony Brabazon, Michael O’Neill, Robin Matthews, Conor Ryan	9
15	Grammar defined introns: an investigation into grammars, introns, and bias in Grammatical Evolution 2001 ·Arrow@dit (Dublin Institute of Technology) ·Michael O’Neill, Conor Ryan, Miguel Nicolau	10
16	Adaptive logic programming 2001 ·Genetic and Evolutionary Computation Conference ·Maarten Keijzer, Vladan Babovic, Conor Ryan, Michael O’Neill, (unknown)	20
17	Developing a market timing system using Grammatical Evolution 2001 ·Genetic and Evolutionary Computation Conference ·Michael O’Neill, (unknown), Conor Ryan, John Collins	8
18	Grammar based function definition in Grammatical Evolution. 2000 ·Genetic and Evolutionary Computation Conference ·Michael O’Neill, Conor Ryan	14
19	Under the hood of grammatical evolution 1999 ·Genetic and Evolutionary Computation Conference ·Michael O’Neill, Conor Ryan	25
20	Functional T cells in rabbits gut mucosal lymphocytes. 1976 ·Gut ·(unknown), Michael O’Neill, R L Clancy, John Bienenstock	12

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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