Anthony Brabazon

3.7k citations
213 papers · 2.9k · h-index 29

Impact in

    • Evolutionary Algorithms and Applications
    • Metaheuristic Optimization Algorithms Research
    • Reinforcement Learning in Robotics
    • Neural Networks and Applications

Papers in

Anthony Brabazon

209 papers receiving 2.7k citations

Peers

Anthony Brabazon
Comparison fields: 5 of 127
  • Artificial Intelligence 2.1k
  • Architecture 70
  • Management Science and Operations Research 470
  • Finance 185
  • Computational Theory and Mathematics 287
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Conor Ryan Ireland
Una-May O’Reilly United States
Michael Kirley Australia
Rajarshi Das United States
Kagan Tumer United States
Amit Kumar Tyagi India
Pedro Isasi Spain
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Terence C. Fogarty United Kingdom
Kyung‐shik Shin South Korea
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Citations per year

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-authors

The 25 scholars most cited alongside Anthony Brabazon, 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 Anthony Brabazon Line = papers co-authored together Anthony Brabazon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 213 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006172
2 2009128
3 201584
4
Biologically Inspired Algorithms for Financial Modelling (Natural Computing Series)
200584
5 200675
6 200863
7
Grammatical Differential Evolution.
200662
8 201560
9 200857
10 201156
11 200849
12 201047
13 201645
14 200443
15 201540
16 200137
17 200437
18 200436
19 201136
20 201035

About Anthony Brabazon

Anthony Brabazon is a scholar working on Artificial Intelligence, Management Science and Operations Research, Economics and Econometrics, Genetics and Finance, having authored 213 papers that have together received 2.9k indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (120 papers), Metaheuristic Optimization Algorithms Research (91 papers), Stock Market Forecasting Methods (40 papers), Complex Systems and Time Series Analysis (29 papers), Reinforcement Learning in Robotics (26 papers), Evolution and Genetic Dynamics (20 papers), Financial Distress and Bankruptcy Prediction (13 papers) and Financial Markets and Investment Strategies (11 papers). The work is most often cited by research in Artificial Intelligence (2.1k citations), Architecture (70 citations), Management Science and Operations Research (470 citations), Finance (185 citations) and Computational Theory and Mathematics (287 citations). Anthony Brabazon has collaborated with scholars based in Ireland, United Kingdom and Portugal. Frequent co-authors include Michael O’Neill, Ian Dempsey, Seán McGarraghy, Miguel Nicolau, Alexandros Agapitos, James McDermott, Erik Hemberg, Edgar Galván, Peter Keenan and Jonathan Byrne. Their work appears in journals such as Lecture notes in computer science, Genetic Programming and Evolvable Machines, Computational Management Science, Soft Computing and Quantitative Finance.

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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