The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Andy M. Tyrrell sits on this spectrum.
This scientist: 351 publications — 82nd percentile
82% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 991 publications or more.
The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Andy M. Tyrrell sits on this spectrum.
This scientist: 35 D-Index — 20th percentile
20% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Andy M. Tyrrell is affiliated with the University of York in the United Kingdom and has a multidisciplinary research focus spanning engineering and computer science. Their body of work encompasses both foundational and applied research across these domains.
The scientist's recent publications emphasize renewable energy technologies, artificial intelligence, and robotics. Notable papers include: Power loss and hotspot analysis for photovoltaic modules affected by potential induced degradation (2022, npj Materials Degradation), Photovoltaic Bypass Diode Fault Detection Using Artificial Neural Networks (2023, IEEE Transactions on Instrumentation and Measurement), Application of Artificial Intelligence-Based Technique in Electric Motors: A Review (2024, IEEE Transactions on Power Electronics), Inequalities in photovoltaics modules reliability: From packaging to PV installation site (2022, Renewable Energy), and Morpho Evolution With Learning Using a Controller Archive as an Inheritance Mechanism (2022, IEEE Transactions on Cognitive and Developmental Systems).
The central research topics covered include:
The main fields of study associated with this researcher are engineering and computer science, with specific subfields including:
Frequent collaborators in their research include Jon Timmis, Edgar Buchanan, Emma Hart, A. E. Eiben, and Alan Winfield. This network reflects interdisciplinary cooperation primarily within robotics and AI research communities.
The researcher's work has appeared repeatedly in publication venues such as:
Andy M. Tyrrell's portfolio demonstrates a sustained focus on integrating advanced artificial intelligence methods with mechanical and electrical engineering principles. This includes leveraging neural networks and evolutionary algorithms to address challenges in robotic systems, as well as optimizing photovoltaic energy technologies and electric motor applications.
Garrison W. Greenwood;Andrew M. Tyrrell
D.W. Bradley;A.M. Tyrrell
Susan Stepney;Robert Elliott Smith;Jonathan Timmis;Andy M. Tyrrell
Thomas Schmickl;Ronald Thenius;Christoph Moslinger;Jon Timmis
Susan Stepney;Robert E. Smith;Jonathan Timmis;Andrew M. Tyrrell
Susan Stepney;Samuel L. Braunstein;John A. Clark;Andrew M. Tyrrell
Andy M. Tyrrell;Eduardo Sanchez;Dario Floreano;Gianluca Tempesti
Pauline C. Haddow;Andy M. Tyrrell
D. W. Bradley;Andrew M. Tyrrell
N.J. Howard;A.M. Tyrrell;N.M. Allinson
D. Bradley;C. Ortega-Sanchez;A. Tyrrell
Cesar Ortega-Sanchez;Daniel Mange;Steve Smith;Andy Tyrrell
G. Hollingworth;S. Smith;A. Tyrrell
Yang Zhang;S.L. Smith;A.M. Tyrrell
W. Barker;D.M. Halliday;Y. Thoma;E. Sanchez
Michael A. Lones;Stephen L. Smith;Jane E. Alty;Stuart E. Lacy
R. Canham;A.H. Jackson;A. Tyrrell
D.W. Bradley;A.M. Tyrrell
Ágoston E. Eiben;Nicolas Bredeche;Mark Hoogendoorn;Jürgen Stradner
C. Ortega;A. Tyrrell
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