World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
38
Citations
7226
World Ranking
10131
National Ranking
633

Research.com Recognitions

  • 2010 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to structural pattern recognition

Overview

Richard C. Wilson is affiliated with the University of York in the United Kingdom. Their research primarily falls within the field of Computer Science, with specific contributions across several subfields including Computer Vision and Pattern Recognition, Artificial Intelligence, Statistical and Nonlinear Physics, Health, Toxicology and Mutagenesis, and Experimental and Cognitive Psychology.

The scientist's work spans various topics, notably:

  • Complex Network Analysis Techniques
  • Mental Health Research Topics
  • Opinion Dynamics and Social Influence
  • Image Retrieval and Classification Techniques
  • Face and Expression Recognition
  • Spectroscopy and Chemometric Analyses
  • Remote-Sensing Image Classification

Publications are distributed across multiple venues, reflecting a diverse research portfolio. Frequent publication venues include:

  • IEEE Transactions on Geoscience and Remote Sensing
  • Climate Services
  • IEEE Transactions on Neural Networks and Learning Systems
  • Pattern Recognition
  • Journal of Complex Networks

Notable recent papers authored or co-authored by Richard C. Wilson are:

  • Reliable Contrastive Learning for Semi-Supervised Change Detection in Remote Sensing Images, 2022, IEEE Transactions on Geoscience and Remote Sensing
  • An R-Convolution Graph Kernel Based on Fast Discrete-Time Quantum Walk, 2020, IEEE Transactions on Neural Networks and Learning Systems
  • The heat and health in cities (H2C) project to support the prevention of extreme heat in cities, 2024, Climate Services
  • Network Edge Entropy Decomposition with Spin Statistics, 2021, Pattern Recognition
  • Network Entropy Using Edge-Based Information Functionals, 2020, Journal of Complex Networks

Collaboration is a significant aspect of their work. Frequent co-authors include:

  • Edwin R. Hancock
  • Oguzhan Yigit
  • Jia-Xin Wang
  • Teng Li
  • Si-Bao Chen

Richard C. Wilson has been recognized with the award of Fellow of the International Association for Pattern Recognition (IAPR) in 2010, acknowledging contributions to structural pattern recognition.

Best Publications

  • Simple models for reading neuronal population codes

    H S Seung;H Sompolinsky

  • Structural, syntactic, and statistical pattern recognition

    Edwin R. Hancock;Richard C. Wilson;Terry Windeatt;Ilkay Ulusoy

  • Structural matching by discrete relaxation

    R.C. Wilson;E.R. Hancock

  • Spectral embedding of graphs

    Bin Luo;Bin Luo;Richard C. Wilson;Edwin R. Hancock

  • Pattern vectors from algebraic graph theory

    R.C. Wilson;E.R. Hancock;Bin Luo

  • A study of graph spectra for comparing graphs and trees

    Richard C. Wilson;Ping Zhu

  • Inexact graph matching using genetic search

    Andrew D.J. Cross;Richard C. Wilson;Edwin R. Hancock

  • On Valid Optimal Assignment Kernels and Applications to Graph Classification

    Nils M. Kriege;Pierre-Louis Giscard;Richard C. Wilson

  • Graph characteristics from the heat kernel trace

    Bai Xiao;Edwin R. Hancock;Richard C. Wilson

  • Graph characterizations from von Neumann entropy

    Lin Han;Francisco Escolano;Edwin R. Hancock;Richard C. Wilson

  • Local feature point extraction for quantum images

    Yi Zhang;Kai Lu;Kai Xu;Yinghui Gao

  • Spherical and Hyperbolic Embeddings of Data

    Richard Charles Wilson;Edwin R Hancock;Elzbieta Pekalska;Robert P. W. Duin

  • Graph Characterization via Ihara Coefficients

    Peng Ren;R C Wilson;E R Hancock

  • A Matrix Representation of Graphs and its Spectrum as a Graph Invariant

    David Emms;Edwin R. Hancock;Simone Severini;Richard C. Wilson

  • Non-rigid 3D shape retrieval

    Z. Lian;J. Zhang;S. Choi;H. ElNaghy

  • A Bayesian compatibility model for graph matching

    Richard C. Wilson;Edwin R. Hancock

  • Deterministic search for relational graph matching

    Mark L. Williams;Richard C. Wilson;Edwin R. Hancock

  • Multiple graph matching with Bayesian inference

    Mark L. Williams;Richard C. Wilson;Edwin R. Hancock

  • Coined quantum walks lift the cospectrality of graphs and trees

    David Emms;Simone Severini;Richard C. Wilson;Edwin R. Hancock

  • Geometric characterization and clustering of graphs using heat kernel embeddings

    Bai Xiao;Edwin R. Hancock;Richard C. Wilson

  • Bayesian graph edit distance

    R. Myers;R.C. Wilson;E.R. Hancock

  • Structural, syntactic, and statistical pattern recognition : joint IAPR international workshop, SSPR & SPR 2010 : Cesme, Izmir, Turkey, August 18 - 20, 2010 : proceedings

    Edwin R Hancock;Richard C. Wilson;Terry Windeatt;Ilkay Ulusoy

Frequent Co-Authors

Edwin R. Hancock
Edwin R. Hancock University of York
Bin Luo
Bin Luo Anhui University
Simone Severini
Simone Severini University College London
Andrea Torsello
Andrea Torsello Ca Foscari University of Venice
William A. P. Smith
William A. P. Smith University of York
Vito Latora
Vito Latora Queen Mary University of London
Luciano da Fontoura Costa
Luciano da Fontoura Costa Universidade de São Paulo
Francisco Aparecido Rodrigues
Francisco Aparecido Rodrigues Universidade de São Paulo
David White
David White University of New South Wales
Vittorio Giovannetti
Vittorio Giovannetti Scuola Normale Superiore di Pisa

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