World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
37
Citations
6806
World Ranking
8297
National Ranking
529

Overview

David Gilbert is affiliated with Brunel University London in the United Kingdom. Their research spans multiple fields with a strong focus on computer science and arts and humanities. They have contributed extensively to both theoretical and applied aspects of these disciplines.

The main fields of study for David Gilbert include:

  • Computer Science
  • Arts and Humanities

Within these fields, their work engages deeply with subfields such as:

  • Artificial Intelligence
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computational Theory and Mathematics
  • Religious studies

David Gilbert's research topics reveal a broad range of interests. These include:

  • Logic, Reasoning, and Knowledge
  • Advanced Algebra and Logic
  • Theology and Canon Law Studies
  • LGBTQ Health, Identity, and Policy
  • Virtual Reality Applications and Impacts
  • Gender Politics and Representation
  • Computer Graphics and Visualization Techniques

Significant recent publications authored or co-authored by David Gilbert are as follows:

  • Logics of Ignorance and Being Wrong, 2021, Logic Journal of IGPL
  • UX at the Right Level, 2021, i-com
  • Incidence of prostate cancer in transgender women in the US: a large database analysis, 2024, Prostate Cancer and Prostatic Diseases (co-authored)
  • Game Engines for Immersive Visualization: Using Unreal Engine Beyond Entertainment, 2024, PRESENCE Virtual and Augmented Reality (co-authored)
  • Konzeption und Evaluation einer virtuellen Lernumgebung für die Hochschullehre, 2023, MedienPädagogik Zeitschrift für Theorie und Praxis der Medienbildung (co-authored)

David Gilbert has also contributed a book published by Centre National de la Recherche Scientifique titled Madame Acarie (1566-1618). Mystique, politique et société au lendemain des guerres de Religion, released in 2021.

Their frequent coauthors include:

  • Kirtishri Mishra
  • Tomasz Tabernacki
  • Megan McNamara
  • Giorgio Venturi
  • Matthew Loria

Publishing outlets where their work has appeared multiple times include:

  • Prostate Cancer and Prostatic Diseases
  • PRESENCE Virtual and Augmented Reality
  • Logic Journal of IGPL
  • MedienPädagogik Zeitschrift für Theorie und Praxis der Medienbildung
  • European Journal of Pain

Best Publications

  • Ensemble machine learning on gene expression data for cancer classification

    Aik Choon Tan;David Gilbert

  • Computational modelling of the receptor-tyrosine-kinase-activated MAPK pathway

    Richard J. Orton;Oliver E. Sturm;Vladislav Vyshemirsky;Muffy Calder

  • Approaches to the Automatic Discovery of Patterns in Biosequences

    Alvis Brazma;Inge Jonassen;Ingvar Eidhammer;David R. Gilbert

  • Petri nets for systems and synthetic biology

    Monika Heiner;David Gilbert;Robin Donaldson

  • GeneRank: Using search engine technology for the analysis of microarray experiments

    Julie L Morrison;Julie L Morrison;Rainer Breitling;Desmond J Higham;David R Gilbert

  • The Mammalian MAPK/ERK Pathway Exhibits Properties of a Negative Feedback Amplifier

    Oliver E. Sturm;Richard Orton;Joan Grindlay;Marc Birtwistle

  • When kinases meet mathematics: the systems biology of MAPK signalling.

    Walter Kolch;Muffy Calder;David Gilbert

  • An Overview of Data Models for the Analysis of Biochemical Pathways

    Yves Deville;David Gilbert;Jacques van Helden;Shoshana J. Wodak

  • Multi-class protein fold classification using a new ensemble machine learning approach.

    Aik Choon Tan;David Gilbert;Yves Deville

  • Feature Selection and the Class Imbalance Problem in Predicting Protein Function from Sequence

    Ali Al-Shahib;Rainer Breitling;David Gilbert

  • From petri nets to differential equations – an integrative approach for biochemical network analysis

    David Gilbert;Monika Heiner

  • Representing and analysing molecular and cellular function using the computer.

    Jacques van Helden;Avi Naim;Renato Mancuso;Mattew Eldridge

  • A unifying framework for modelling and analysing biochemical pathways using Petri nets

    David Gilbert;Monika Heiner;Sebastian Lehrack

  • A lock-and-key model for protein--protein interactions

    Julie L. Morrison;Rainer Breitling;Desmond J. Higham;David R. Gilbert

  • TOPS: an enhanced database of protein structural topology

    Ioannis Michalopoulos;Gilleain M. Torrance;David R. Gilbert;David R. Westhead

  • Computational methodologies for modelling, analysis and simulation of signalling networks

    David R. Gilbert;Hendrik Fuß;Xu Gu;Richard J. Orton

  • Motif-based searching in TOPS protein topology databases.

    David R. Gilbert;David R. Westhead;Nozomi Nagano;Janet M. Thornton

  • A Model Checking Approach to the Parameter Estimation of Biochemical Pathways

    Robin Donaldson;David Gilbert

  • Analysis of signalling pathways using continuous time markov chains

    Muffy Calder;Vladislav Vyshemirsky;David Gilbert;Richard Orton

  • A structured approach for the engineering of biochemical network models, illustrated for signalling pathways

    Rainer Breitling;David R. Gilbert;Monika Heiner;Richard J. Orton

Frequent Co-Authors

Monika Heiner
Monika Heiner Brandenburg University of Technology
Rainer Breitling
Rainer Breitling University of Manchester
Walter Kolch
Walter Kolch University College Dublin
Jacques van Helden
Jacques van Helden Aix-Marseille University
Aik Choon Tan
Aik Choon Tan University of Utah
Janet M. Thornton
Janet M. Thornton European Bioinformatics Institute
Shoshana J. Wodak
Shoshana J. Wodak Vrije Universiteit Brussel
Rolf Backofen
Rolf Backofen University of Freiburg
Corrado Priami
Corrado Priami University of Pisa

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