Anthony Brabazon

3.7k citations
120 papers · 1.5k · h-index 22

Impact in

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

Papers in

Anthony Brabazon

115 papers receiving 1.3k citations

Peers

Anthony Brabazon
Comparison fields: 5 of 118
  • Artificial Intelligence 994
  • Architecture 45
  • Management Science and Operations Research 237
  • Finance 116
  • Computational Theory and Mathematics 162
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Citations per field
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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 120 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006104
2 200983
3 201562
4 200660
5 200844
6 200441
7
Biologically Inspired Algorithms for Financial Modelling (Natural Computing Series)
200539
8 201639
9 200835
10 201532
11 201032
12 201031
13
Grammatical Differential Evolution.
200630
14 201128
15 200928
16 201927
17 201126
18 200726
19 201425
20 200424

About Anthony Brabazon

Anthony Brabazon is a scholar working on Artificial Intelligence, Management Science and Operations Research, Economics and Econometrics, Genetics and Molecular Biology, having authored 120 papers that have together received 1.5k indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (67 papers), Metaheuristic Optimization Algorithms Research (51 papers), Stock Market Forecasting Methods (21 papers), Evolution and Genetic Dynamics (14 papers), Reinforcement Learning in Robotics (12 papers), Complex Systems and Time Series Analysis (12 papers), Artificial Intelligence in Games (8 papers) and Financial Distress and Bankruptcy Prediction (8 papers). The work is most often cited by research in Artificial Intelligence (994 citations), Architecture (45 citations), Management Science and Operations Research (237 citations), Finance (116 citations) and Computational Theory and Mathematics (162 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, Peter Keenan, Erik Hemberg, James McDermott, Edgar Galván, Jonathan Byrne and Alexandros Agapitos. Their work appears in journals such as Genetic Programming and Evolvable Machines, Computational Management Science, Soft Computing, Evolutionary Intelligence and Colorectal Disease.

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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