Andy M. Tyrrell
Impact in
- Hardware and Architecture top 5%
- Artificial Intelligence top 1%
- Evolutionary Algorithms and Applications
- Metaheuristic Optimization Algorithms Research
Papers in
-
- Evolutionary Algorithms and Applications 85
- Metaheuristic Optimization Algorithms Research 20
- Reinforcement Learning in Robotics 17
- Co-authors
- Jon TimmisStephen L. SmithMahmoud DhimishMartin A. TrefzerMichael A. LonesJames Alfred WalkerJames A. HilderPauline C. Haddow
- Journals
- Biosystems (9 papers)IEEE Transactions on Evolutionary Computation (8 papers)Genetic Programming and Evolvable Machines (7 papers)Robotics (3 papers)IEEE Transactions on Neural Networks and Learning Systems (2 papers)
- Partner nations
- United KingdomNetherlandsUnited States
In The Last Decade
Andy M. Tyrrell
205 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 122
- Hardware and Architecture 218
- Artificial Intelligence 875
- Computational Theory and Mathematics 192
- Electrical and Electronic Engineering 606
- Cognitive Neuroscience 203
Countries citing papers authored by Andy M. Tyrrell
This map shows the geographic impact of Andy M. Tyrrell'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 Andy M. Tyrrell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andy M. Tyrrell more than expected).
Fields of papers citing papers by Andy M. Tyrrell
This network shows the impact of papers produced by Andy M. Tyrrell. 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 Andy M. Tyrrell. The network helps show where Andy M. Tyrrell may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Andy M. Tyrrell, 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 | 1 | |
| 3 | 2024 | 14 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 11 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 3 | |
| 9 | 2023 | 2 | |
| 10 | 2016 | 19 | |
| 11 | 2012 | 8 | |
| 12 | 2009 | 18 | |
| 13 | 2009 | 7 | |
| 14 | 2007 | 4 | |
| 15 | 2005 | 19 | |
| 16 | Conceptual Frameworks for Artificial Immune Systems | 2005 | 49 |
| 17 | 2003 | 1 | |
| 18 | A POEtic Architecture for Bio-Inspired Hardware | 2002 | 8 |
| 19 | Cymatic. Restoring the Physical Manifestation of Digital Sound Using Haptic Interfaces to Control a New Computer Based Musical Instrument | 2002 | 6 |
| 20 | Musical Analysis using a Real-Time Model of Peripheral Hearing | 1996 | 1 |
About Andy M. Tyrrell
Andy M. Tyrrell is a scholar working on Artificial Intelligence, Hardware and Architecture, Cognitive Neuroscience, Computational Theory and Mathematics and Mechanical Engineering, having authored 215 papers that have together received 2.1k indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (85 papers), Gene Regulatory Network Analysis (37 papers), Modular Robots and Swarm Intelligence (35 papers), Advanced Memory and Neural Computing (25 papers), Metaheuristic Optimization Algorithms Research (20 papers), VLSI and FPGA Design Techniques (18 papers), Reinforcement Learning in Robotics (17 papers) and Neural dynamics and brain function (16 papers). The work is most often cited by research in Hardware and Architecture (218 citations), Artificial Intelligence (875 citations), Computational Theory and Mathematics (192 citations), Electrical and Electronic Engineering (606 citations) and Cognitive Neuroscience (203 citations). Andy M. Tyrrell has collaborated with scholars based in United Kingdom, Netherlands and United States. Frequent co-authors include Jon Timmis, Stephen L. Smith, Mahmoud Dhimish, Martin A. Trefzer, Michael A. Lones, James Alfred Walker, James A. Hilder, Pauline C. Haddow, Julian F. Miller and David M. Halliday. Their work appears in journals such as Biosystems, IEEE Transactions on Evolutionary Computation, Genetic Programming and Evolvable Machines, Robotics and IEEE Transactions on Neural Networks and Learning Systems.
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.