D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 30 Citations 4,057 226 World Ranking 8408 National Ranking 493

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Electrical engineering
  • Machine learning

His primary scientific interests are in Fault tolerance, Control reconfiguration, Embedded system, Artificial intelligence and Evolvable hardware. The Fault tolerance study combines topics in areas such as Finite-state machine, Computer hardware, Reliability and Fault detection and isolation. His Control reconfiguration research integrates issues from Embryonic stem cell, Multicellular organism, Signal processing, Field-programmable gate array and Transistor.

The study incorporates disciplines such as Computational complexity theory and Electronic circuit in addition to Embedded system. Many of his research projects under Artificial intelligence are closely connected to Conceptual framework and Scalability with Conceptual framework and Scalability, tying the diverse disciplines of science together. His study in Evolvable hardware is interdisciplinary in nature, drawing from both Industrial engineering, Reconfigurable computing, Computational intelligence and Speedup.

His most cited work include:

  • Immunotronics - novel finite-state-machine architectures with built-in self-test using self-nonself differentiation (97 citations)
  • Conceptual Frameworks for Artificial Immune Systems (90 citations)
  • The yield enhancement of field-programmable gate arrays (82 citations)

What are the main themes of his work throughout his whole career to date?

Andy M. Tyrrell mainly focuses on Fault tolerance, Artificial intelligence, Field-programmable gate array, Embedded system and Evolvable hardware. His studies in Fault tolerance integrate themes in fields like Fault, Control reconfiguration and Reliability. Many of his studies involve connections with topics such as Machine learning and Artificial intelligence.

As part of one scientific family, he deals mainly with the area of Field-programmable gate array, narrowing it down to issues related to the Electronic circuit, and often Transistor. His Embedded system research is multidisciplinary, incorporating perspectives in Computer hardware, Artificial immune system and Fault detection and isolation. He works mostly in the field of Evolutionary algorithm, limiting it down to topics relating to Evolutionary computation and, in certain cases, Theoretical computer science, as a part of the same area of interest.

He most often published in these fields:

  • Fault tolerance (21.07%)
  • Artificial intelligence (19.58%)
  • Field-programmable gate array (18.40%)

What were the highlights of his more recent work (between 2014-2021)?

  • Robot (8.90%)
  • Field-programmable gate array (18.40%)
  • Artificial neural network (6.82%)

In recent papers he was focusing on the following fields of study:

His main research concerns Robot, Field-programmable gate array, Artificial neural network, Artificial intelligence and Fault tolerance. His work carried out in the field of Field-programmable gate array brings together such families of science as Control reconfiguration and Benchmark. The various areas that Andy M. Tyrrell examines in his Control reconfiguration study include Electronic engineering and Logic gate.

Many of his studies on Artificial intelligence involve topics that are commonly interrelated, such as Machine learning. His Fault tolerance study is concerned with Distributed computing in general. His work on Evolvable hardware as part of general Evolutionary algorithm study is frequently linked to Physical system, bridging the gap between disciplines.

Between 2014 and 2021, his most popular works were:

  • Homeostatic Fault Tolerance in Spiking Neural Networks: A Dynamic Hardware Perspective (26 citations)
  • Exploring Self-Repair in a Coupled Spiking Astrocyte Neural Network (18 citations)
  • Investigating the dynamics of surface-immobilized DNA nanomachines (18 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Electrical engineering
  • Machine learning

Andy M. Tyrrell spends much of his time researching Artificial neural network, Field-programmable gate array, Spiking neural network, Fault tolerance and Fault. His Artificial neural network research incorporates elements of Finite-state machine, DNA computing, Hybrid system and Logic gate. He's looking at Field-programmable gate array as part of his Computer hardware and Embedded system and Field-programmable gate array study.

His Embedded system study integrates concerns from other disciplines, such as Control theory, Maintenance engineering, Obstacle avoidance and Resilience. Andy M. Tyrrell incorporates Fault tolerance and Controller in his studies. The concepts of his Fault study are interwoven with issues in Robotics, Simulation, Task, Artificial intelligence and DC motor.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Introduction to Evolvable Hardware: A Practical Guide for Designing Self-Adaptive Systems

Garrison W. Greenwood;Andrew M. Tyrrell.
(2006)

193 Citations

Conceptual Frameworks for Artificial Immune Systems

Susan Stepney;Robert Elliott Smith;Jonathan Timmis;Andy M. Tyrrell.
International Journal of Unconventional Computing (2005)

151 Citations

Immunotronics - novel finite-state-machine architectures with built-in self-test using self-nonself differentiation

D.W. Bradley;A.M. Tyrrell.
IEEE Transactions on Evolutionary Computation (2002)

150 Citations

Towards a Conceptual Framework for Artificial Immune Systems

Susan Stepney;Robert E. Smith;Jonathan Timmis;Andrew M. Tyrrell.
international conference on artificial immune systems (2004)

134 Citations

POEtic tissue: an integrated architecture for bio-inspired hardware

Andy M. Tyrrell;Eduardo Sanchez;Dario Floreano;Gianluca Tempesti.
international conference on evolvable systems (2003)

133 Citations

Journeys in non-classical computation I: A grand challenge for computing research

Susan Stepney;Samuel L. Braunstein;John A. Clark;Andrew M. Tyrrell.
International Journal of Parallel, Emergent and Distributed Systems (2005)

129 Citations

Immunotronics: Hardware Fault Tolerance Inspired by the Immune System

D. W. Bradley;Andrew M. Tyrrell.
international conference on evolvable systems (2000)

120 Citations

The yield enhancement of field-programmable gate arrays

N.J. Howard;A.M. Tyrrell;N.M. Allinson.
IEEE Transactions on Very Large Scale Integration Systems (1994)

107 Citations

CoCoRo -- The Self-Aware Underwater Swarm

Thomas Schmickl;Ronald Thenius;Christoph Moslinger;Jon Timmis.
self-adaptive and self-organizing systems (2011)

105 Citations

Embryonics+immunotronics: a bio-inspired approach to fault tolerance

D. Bradley;C. Ortega-Sanchez;A. Tyrrell.
Proceedings. The Second NASA/DoD Workshop on Evolvable Hardware (2000)

102 Citations

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