World's Best Scientists 2026 revealed!
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Computer Science
UK
2025

D-Index & Metrics

Computer Science

D-Index
70
Citations
22390
World Ranking
1856
National Ranking
105

Research.com Recognitions

  • 2025 - Research.com Computer Science in United Kingdom Leader Award
  • 2023 - Research.com Computer Science in United Kingdom Leader Award
  • 2022 - Research.com Computer Science in United Kingdom Leader Award

Overview

Riccardo Poli is affiliated with the University of Essex in the United Kingdom and has contributed extensively to the fields of Neuroscience and Computer Science. Their research spans multiple topics and subfields, with a significant focus on Cognitive Neuroscience and Artificial Intelligence.

Their main research topics include:

  • EEG and Brain-Computer Interfaces
  • Neural dynamics and brain function
  • Advanced Memory and Neural Computing
  • Neural Networks and Applications
  • Neural and Behavioral Psychology Studies
  • Digital Mental Health Interventions
  • Mental Health Research Topics

Riccardo Poli has published frequently in various scientific journals. The most notable publication venues include:

  • Journal of Neural Engineering
  • Neural Networks
  • Scientific Reports
  • BMC Psychiatry
  • EClinicalMedicine

Their recent scholarly papers include:

  • "Successfully and efficiently training deep multi-layer perceptrons with logistic activation function simply requires initializing the weights with an appropriate negative mean" (2022, Neural Networks)
  • "A protocol for a multicentre, parallel-group, pragmatic randomised controlled trial to evaluate the NEVERMIND system in preventing and treating depression in patients with severe somatic conditions" (2020, BMC Psychiatry)
  • "The NEVERMIND e-health system in the treatment of depressive symptoms among patients with severe somatic conditions: A multicentre, pragmatic randomised controlled trial" (2022, EClinicalMedicine)
  • "Anytime collaborative brain-computer interfaces for enhancing perceptual group decision-making" (2021, Scientific Reports)
  • "Subject- and task-independent neural correlates and prediction of decision confidence in perceptual decision making" (2021, Journal of Neural Engineering)

Their frequent co-authors include:

  • Luca Citi
  • Caterina Cinel
  • Davide Valeriani
  • Saugat Bhattacharyya
  • Milan Rybář

Best Publications

  • A Field Guide to Genetic Programming

    Riccardo Poli;William B. Langdon;Nicholas Freitag McPhee

  • Genetic and Evolutionary Computation - GECCO 2004

    K. Deb;R. Poli;W. Banzhaf;H-G. Beyer

  • New Ideas In Optimization

    David Corne;Marco Dorigo;Fred Glover;Dipankar Dasgupta

  • Foundations of Genetic Programming

    William B. Langdon;Riccardo Poli

  • Analysis of the publications on the applications of particle swarm optimisation

    Riccardo Poli

  • Particle Swarm Optimisation

    Riccardo Poli;Jim Kennedy;Tim Blackwell

  • Parallel genetic algorithm taxonomy

    M. Nowostawski;R. Poli

  • Genetic design of optimum linear and nonlinear QRS detectors

    R. Poli;S. Cagnoni;G. Valli

  • Fitness Causes Bloat

    W. B. Langdon;R. Poli

  • Schema theory for genetic programming with one-point crossover and point mutation

    Riccardo Poli;William B. Langdon

  • The evolution of size and shape

    William B. Langdon;Tery Soule;Riccardo Poli;James A. Foster

  • A simple but theoretically-motivated method to control bloat in genetic programming

    Riccardo Poli

  • Genetic programming for image analysis

    Riccardo Poli

  • P300-Based BCI Mouse With Genetically-Optimized Analogue Control

    L. Citi;R. Poli;C. Cinel;F. Sepulveda

  • Why Ants are Hard

    W. B. Langdon;R. Poli

  • Mean and Variance of the Sampling Distribution of Particle Swarm Optimizers During Stagnation

    R. Poli

  • Proceedings of the Genetic and Evolutionary Computation Conference

    William B. Langdon;Erick Cantú-Paz;Keith E. Mathias;Rajkumar Roy

  • Genetic algorithm-based interactive segmentation of 3D medical images

    Stefano Cagnoni;A. B. Dobrzeniecki;Riccardo Poli;J. C. Yanch

  • An algorithm for real-time vessel enhancement and detection.

    Riccardo Poli;Guido Valli

  • Genetic Programming: An Introduction and Tutorial, with a Survey of techniques and Applications

    William B. Langdon;Riccardo Poli;Nicholas Freitag McPhee;John R. Koza

  • Genetic and evolutionary computation

    Stefano Cagnoni;Riccardo Poli

  • Genetic Programming with One-Point Crossover and Point Mutation

    R Poli;WB Langdon

  • GECCO 2002: Proceedings of the genetic and evolutionary computation conference

    W.B. Langdon;E. Cant{ 'u}-Paz;K. Mathias;R. Roy

Frequent Co-Authors

William B. Langdon
William B. Langdon University College London
Leonardo Vanneschi
Leonardo Vanneschi Universidade Nova de Lisboa
David Corne
David Corne Heriot-Watt University
Wolfgang Banzhaf
Wolfgang Banzhaf Michigan State University
Mauro Birattari
Mauro Birattari Université Libre de Bruxelles
Marco Dorigo
Marco Dorigo Université Libre de Bruxelles
Edmund K. Burke
Edmund K. Burke Bangor University
Edward Tsang
Edward Tsang University of Essex
Thomas Stützle
Thomas Stützle Université Libre de Bruxelles
Alcherio Martinoli
Alcherio Martinoli École Polytechnique Fédérale de Lausanne

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