Marcus Gallagher
- Artificial Intelligence top 1%
- Metaheuristic Optimization Algorithms Research 29
- Evolutionary Algorithms and Applications 22
- Reinforcement Learning in Robotics 10
- Artificial Intelligence in Games 8
- Neural Networks and Applications 6
- Internet Traffic Analysis and Secure E-voting 5
- Environmental Engineering top 5%
- Geochemistry and Petrology top 5%
- Signal Processing top 5%
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- Advanced Multi-Objective Optimization Algorithms 23
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- Network Security and Intrusion Detection 8
Marcus Gallagher
93 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 158
- Artificial Intelligence 981
- Environmental Engineering 331
- Geochemistry and Petrology 131
- Signal Processing 222
- Computational Theory and Mathematics 316
Countries citing papers authored by Marcus Gallagher
This map shows the geographic impact of Marcus Gallagher'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 Marcus Gallagher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcus Gallagher more than expected).
Fields of papers citing papers by Marcus Gallagher
This network shows the impact of papers produced by Marcus Gallagher. 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 Marcus Gallagher. The network helps show where Marcus Gallagher may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Marcus Gallagher, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 39 | |
| 5 | 2022 | 41 | |
| 6 | 2020 | 30 | |
| 7 | 2019 | 5 | |
| 8 | 2019 | 2 | |
| 9 | 2018 | 8 | |
| 10 | 2014 | 2 | |
| 11 | 2012 | 15 | |
| 12 | Under voltage load shedding utilizing trajectory sensitivity to enhance voltage stability | 2011 | 6 |
| 13 | 2008 | 19 | |
| 14 | 2006 | 177 | |
| 15 | 2003 | 31 | |
| 16 | 2003 | 11 | |
| 17 | Real-valued evolutionary optimization using a flexible probability density estimator | 1999 | 51 |
| 18 | Numerical studies of nitrogen flows under effluent irrigated lawns on islands in the Great Barrier Reef. | 1999 | 0 |
| 19 | On Ultrametricity in Feedforward Neural Network Error Surfaces | 1998 | 1 |
| 20 | Support Vector methods in learning and feature extraction | 1998 | 21 |
About Marcus Gallagher
Marcus Gallagher is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Signal Processing, Environmental Engineering and Computer Networks and Communications, having authored 102 papers that have together received 2.3k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (29 papers), Advanced Multi-Objective Optimization Algorithms (23 papers), Evolutionary Algorithms and Applications (22 papers), Reinforcement Learning in Robotics (10 papers), Network Security and Intrusion Detection (8 papers), Artificial Intelligence in Games (8 papers), Neural Networks and Applications (6 papers) and Internet Traffic Analysis and Secure E-voting (5 papers). The work is most often cited by research in Artificial Intelligence (981 citations), Environmental Engineering (331 citations), Geochemistry and Petrology (131 citations), Signal Processing (222 citations) and Computational Theory and Mathematics (316 citations). Marcus Gallagher has collaborated with scholars based in Australia, United States and China. Frequent co-authors include Bo Yuan, John Doherty, Adrian D. Werner, Siamak Layeghy, Marius Portmann, Mohanad Sarhan, Marcus Frean, T. Downs, Wai Weng Lo and Duong Quoc Hung. Their work appears in journals such as Soft Computing, Evolutionary Computation, Environmental Modelling & Software, IEEE Transactions on Evolutionary Computation and Journal of Hydrology.
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.