Aidan Murphy
Impact in
- Automotive Engineering top 10%
- Autonomous Vehicle Technology and Safety
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- Advanced Neural Network Applications
- Robotic Path Planning Algorithms
Papers in
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- Evolutionary Algorithms and Applications 16
- Metaheuristic Optimization Algorithms Research 12
- Reinforcement Learning in Robotics 6
- AI-based Problem Solving and Planning 3
- Multi-Agent Systems and Negotiation 2
- Semantic Web and Ontologies 2
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- Advanced Multi-Objective Optimization Algorithms 4
- Co-authors
- Conor Ryan (20 shared papers)Sean Campbell (3 shared papers)Niall O’Mahony (3 shared papers)J. L. Walsh (3 shared papers)Daniel Riordan (3 shared papers)Lenka Krpálková (2 shared papers)G. M. P. O’Hare (2 shared papers)Jorge Amaral (4 shared papers)
In The Last Decade
Aidan Murphy
25 papers receiving 269 citations
Peers
Comparison fields: 5 of 63
- Automotive Engineering 107
- Computer Vision and Pattern Recognition 74
- Instrumentation 11
- Artificial Intelligence 85
- Aerospace Engineering 45
Countries citing papers authored by Aidan Murphy
This map shows the geographic impact of Aidan Murphy'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 Aidan Murphy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aidan Murphy more than expected).
Fields of papers citing papers by Aidan Murphy
This network shows the impact of papers produced by Aidan Murphy. 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 Aidan Murphy. The network helps show where Aidan Murphy may publish in the future.
Co-authors
The 23 scholars most cited alongside Aidan Murphy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 178 | |
| 2 | 2018 | 20 | |
| 3 | 2000 | 13 | |
| 4 | 2018 | 12 | |
| 5 | 2021 | 8 | |
| 6 | 2022 | 6 | |
| 7 | 2020 | 5 | |
| 8 | 2020 | 5 | |
| 9 | 2021 | 5 | |
| 10 | 2020 | 4 | |
| 11 | 2022 | 4 | |
| 12 | 2020 | 4 | |
| 13 | 2021 | 3 | |
| 14 | 2022 | 2 | |
| 15 | 2022 | 2 | |
| 16 | 2008 | 2 | |
| 17 | 2003 | 2 | |
| 18 | 2023 | 1 | |
| 19 | 2023 | 1 | |
| 20 | 2024 | 1 |
About Aidan Murphy
Aidan Murphy is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Vision and Pattern Recognition, Signal Processing and Cultural Studies, having authored 30 papers that have together received 283 indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (16 papers), Metaheuristic Optimization Algorithms Research (12 papers), Reinforcement Learning in Robotics (6 papers), Advanced Multi-Objective Optimization Algorithms (4 papers), AI-based Problem Solving and Planning (3 papers), Language and cultural evolution (2 papers), Multi-Agent Systems and Negotiation (2 papers) and Semantic Web and Ontologies (2 papers). The work is most often cited by research in Automotive Engineering (107 citations), Computer Vision and Pattern Recognition (74 citations), Instrumentation (11 citations), Artificial Intelligence (85 citations) and Aerospace Engineering (45 citations). Aidan Murphy has collaborated with scholars based in Ireland, Brazil and Egypt. Frequent co-authors include Conor Ryan, Sean Campbell, Niall O’Mahony, J. L. Walsh, Daniel Riordan, Lenka Krpálková, G. M. P. O’Hare, Jorge Amaral, Ayman Youssef and Jonathan A. Cox. Their work appears in journals such as Genetic Programming and Evolvable Machines, Computational Statistics & Data Analysis, Applied Physics Letters, IEEE Access and Lecture notes in computer science.
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.