Anthony Brabazon

3.7k total citations
120 papers, 1.5k citations indexed

About

Anthony Brabazon is a scholar working on Artificial Intelligence, Management Science and Operations Research and Economics and Econometrics. According to data from OpenAlex, Anthony Brabazon has authored 120 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Artificial Intelligence, 27 papers in Management Science and Operations Research and 19 papers in Economics and Econometrics. Recurrent topics in Anthony Brabazon's work include Evolutionary Algorithms and Applications (67 papers), Metaheuristic Optimization Algorithms Research (51 papers) and Stock Market Forecasting Methods (21 papers). Anthony Brabazon is often cited by papers focused on Evolutionary Algorithms and Applications (67 papers), Metaheuristic Optimization Algorithms Research (51 papers) and Stock Market Forecasting Methods (21 papers). Anthony Brabazon collaborates with scholars based in Ireland, United Kingdom and Portugal. Anthony Brabazon's co-authors include Michael O’Neill, Ian Dempsey, Seán McGarraghy, Miguel Nicolau, Peter Keenan, Erik Hemberg, James McDermott, Edgar Galván, Jonathan Byrne and Alexandros Agapitos and has published in prestigious journals such as IEEE Transactions on Evolutionary Computation, Neurocomputing and Applied Soft Computing.

In The Last Decade

Anthony Brabazon

115 papers receiving 1.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Anthony Brabazon Ireland 22 994 237 162 149 149 120 1.5k
Pedro Isasi Spain 19 653 0.7× 189 0.8× 103 0.6× 43 0.3× 50 0.3× 118 1.2k
Sotirios Chatzis Cyprus 24 704 0.7× 229 1.0× 42 0.3× 40 0.3× 136 0.9× 86 1.8k
Dae-Ki Kang South Korea 14 569 0.6× 88 0.4× 46 0.3× 51 0.3× 30 0.2× 91 1.1k
Tan Wang China 19 634 0.6× 137 0.6× 33 0.2× 32 0.2× 222 1.5× 39 1.6k
Carlos Castro Chile 14 403 0.4× 113 0.5× 104 0.6× 17 0.1× 82 0.6× 72 927
Patrick P. K. Chan China 21 634 0.6× 91 0.4× 44 0.3× 28 0.2× 224 1.5× 118 1.7k
Essam Said Hanandeh Jordan 12 867 0.9× 129 0.5× 278 1.7× 62 0.4× 36 0.2× 24 1.6k
Irad Ben‐Gal Israel 17 289 0.3× 165 0.7× 90 0.6× 228 1.5× 59 0.4× 105 1.3k
Huaqing Min China 18 822 0.8× 130 0.5× 49 0.3× 28 0.2× 26 0.2× 103 1.4k

Countries citing papers authored by Anthony Brabazon

Since Specialization
Citations

This map shows the geographic impact of Anthony Brabazon'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 Anthony Brabazon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anthony Brabazon more than expected).

Fields of papers citing papers by Anthony Brabazon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anthony Brabazon. 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 Anthony Brabazon. The network helps show where Anthony Brabazon may publish in the future.

Co-authorship network of co-authors of Anthony Brabazon

This figure shows the co-authorship network connecting the top 25 collaborators of Anthony Brabazon. A scholar is included among the top collaborators of Anthony Brabazon 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 Anthony Brabazon. Anthony Brabazon 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
1.
Agapitos, Alexandros, et al.. (2019). A Survey of Statistical Machine Learning Elements in Genetic Programming. IEEE Transactions on Evolutionary Computation. 23(6). 1029–1048. 18 indexed citations
2.
Brabazon, Anthony, et al.. (2016). Characterising order book evolution using self-organising maps. Evolutionary Intelligence. 9(4). 167–179. 1 indexed citations
3.
Brabazon, Anthony, et al.. (2016). Complexity measures in Genetic Programming learning: A brief review. 2409–2416. 21 indexed citations
4.
Brabazon, Anthony, et al.. (2015). A genetic programming approach for delta hedging. 1. 3312–3318. 1 indexed citations
5.
Agapitos, Alexandros, Michael O’Neill, Miguel Nicolau, et al.. (2015). Deep evolution of image representations for handwritten digit recognition. Research Repository UCD (University College Dublin). 2452–2459. 6 indexed citations
6.
Brabazon, Anthony, Gianni A. Di, Rolf Drechsler, et al.. (2011). Applications of Evolutionary ComputationEvoApplications 2011: EvoCOMNET, EvoFIN, EvoHOT, EvoMUSART, EvoSTIM, and EvoTRANSLOG, Torino, Italy, April 27-29, 2011, Proceedings, Part II. PORTO Publications Open Repository TOrino (Politecnico di Torino). 6625. 1–510. 3 indexed citations
7.
Agapitos, Alexandros, et al.. (2011). Learning environment models in car racing using stateful Genetic Programming. Research Repository UCD (University College Dublin). 1. 219–226. 6 indexed citations
8.
O’Neill, Michael, et al.. (2008). GEVA - Grammatical Evolution in Java (v1.0). Research Repository UCD (University College Dublin). 4 indexed citations
9.
Giacobini, Mario, Gianni A. Di, Andréas Fink, et al.. (2007). Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes: Preface. Lecture notes in computer science. 1 indexed citations
10.
Thompson, Sandra E., et al.. (2007). Predicting Going Concern Audit Qualification Using Neural Networks.. International Conference on Artificial Intelligence. 199–204. 1 indexed citations
11.
O’Neill, Michael & Anthony Brabazon. (2006). Grammatical Differential Evolution.. International Conference on Artificial Intelligence. 231–236. 30 indexed citations
12.
Brabazon, Anthony, et al.. (2006). Identifying Merger and Takeover Targets Using a Self-Organising Map. International Conference on Artificial Intelligence. 408–413. 2 indexed citations
13.
Brabazon, Anthony, et al.. (2005). Grammar-Mediated Time-Series Prediction. Journal of Intelligent Systems. 14(2-3). 123–142. 2 indexed citations
14.
Mofidi, Reza, T. Powell, Anthony Brabazon, et al.. (2005). Prediction of the Exact Degree of Internal Carotid Artery Stenosis Using an Artificial Neural Network Based on Duplex Velocity Measurements. Annals of Vascular Surgery. 19(6). 829–837. 6 indexed citations
15.
Brabazon, Anthony & Michael O’Neill. (2004). Diagnosing corporate stability using grammatical evolution. International Journal of Applied Mathematics and Computer Science. 14(3). 363–374. 12 indexed citations
16.
Xi, Yue, Qiang Han, & Anthony Brabazon. (2004). An Ant-clustering Model for Solvency Prediction.. International Conference on Artificial Intelligence. 687–690. 2 indexed citations
17.
Brennan, David & Anthony Brabazon. (2004). Corporate Bond Rating Using Neural Networks.. International Conference on Artificial Intelligence. 161–167. 7 indexed citations
18.
O’Neill, Michael, Anthony Brabazon, Miguel Nicolau, Seán McGarraghy, & Peter Keenan. (2004). pi-Grammatical Evolution.. Genetic and Evolutionary Computation Conference. 617–629. 12 indexed citations
19.
Brabazon, Anthony & Michael O’Neill. (2003). A Grammar Model for Foreign-Exchange Trading.. International Conference on Artificial Intelligence. 492–498. 6 indexed citations
20.
Brabazon, Anthony, Michael O’Neill, Robin Matthews, & Conor Ryan. (2002). Grammatical Evolution And Corporate Failure Prediction. Genetic and Evolutionary Computation Conference. 1011–1018. 9 indexed citations

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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