World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
35
Citations
11335
World Ranking
11430
National Ranking
4695

Overview

Leandro Nunes de Castro is affiliated with Florida Gulf Coast University in the United States. Their research primarily spans the fields of Computer Science and Engineering, with a significant focus on subfields such as Artificial Intelligence, Information Systems, Biomedical Engineering, Management Science and Operations Research, and Economics and Econometrics.

The scientist's work is notably concentrated on topics including Artificial Immune Systems Applications, Evolutionary Algorithms and Applications, Recommender Systems and Techniques, Topic Modeling, Advanced Bandit Algorithms Research, Complex Systems and Time Series Analysis, and Stock Market Forecasting Methods.

Leandro has contributed to several recent publications, demonstrating the breadth of their research interests. These include:

  • e-Recruitment recommender systems: a systematic review, 2020, Knowledge and Information Systems
  • A Framework to Perform Asset Allocation Based on Partitional Clustering, 2020, IEEE Access
  • A Systematic Literature Review on the Use of Federated Learning and Bioinspired Computing, 2024, Electronics
  • A framework for the analysis and synthesis of Swarm Intelligence algorithms, 2020, Journal of Experimental & Theoretical Artificial Intelligence
  • Use of artificial intelligence in biblical citation recommendations in the New Testament, 2023, Revista Científica Multidisciplinar Núcleo do Conhecimento

The frequent co-authors collaborating with Leandro include Rita Xavier, Rodrigo Pasti, Matheus A. Ferraria, Márcio Biczyk, and John Peller, each contributing to multiple projects.

Leandro often publishes in specialized venues, with repeated contributions to IEEE Access, Knowledge and Information Systems, Electronics, Revista Científica Multidisciplinar Núcleo do Conhecimento, and the Journal of Experimental & Theoretical Artificial Intelligence.

Best Publications

  • Artificial Immune Systems: A New Computational Intelligence Approach

    Leandro N. De Castro;Jonathan Timmis

  • An artificial immune network for multimodal function optimization

    L.N. de Castro;J. Timmis

  • Artificial immune systems as a novel soft computing paradigm

    L. N. De Castro;J. I. Timmis

  • aiNet: An Artificial Immune Network for Data Analysis

    Leandro Nunes de Castro;Fernando J. Von Zuben

  • Fundamentals Of Natural Computing: Basic Concepts, Algorithms, And Applications

    Leandro Nunes de Castro

  • Fundamentals of natural computing: an overview

    Leandro Nunes de Castro

  • Artificial Immune Systems: A Novel Approach to Pattern Recognition

    Leandro N. de Castro;Jon Timmis

  • An Evolutionary Immune Network for Data Clustering

    Unknown

  • Negative Selection: How to Generate Detectors

    Modupe Ayara;Jon Timmis;Rogério de Lemos;Leandro N. de Castro

  • Evolving clusters in gene-expression data

    Eduardo R. Hruschka;Ricardo J. G. B. Campello;Leandro N. de Castro

  • A polarity analysis framework for Twitter messages

    Ana Carolina E.S. Lima;Leandro Nunes de Castro;Juan M. Corchado

  • Artificial Immune Systems: A New Computational Approach

    Leandro N. de Castro;Jon Timmis

  • A self-organizing neural network using ideas from the immune system to solve the traveling salesman problem

    Thiago A. S. Masutti;Leandro N. de Castro

  • An artificial immune network for multimodal function optimization on dynamic environments

    Fabricio Olivetti de França;Fernando J. Von Zuben;Leandro Nunes de Castro

  • Recent Developments In Biologically Inspired Computing

    Leandro N. Decastro;Fernando J. Von Zuben;Leandro N. De Castro

  • 2014 Special Issue: A multi-label, semi-supervised classification approach applied to personality prediction in social media

    Ana Carolina E. S. Lima;Leandro Nunes De Castro

  • A keyword extraction method from twitter messages represented as graphs

    Willyan Daniel Abilhoa;Leandro Nunes de Castro

  • Clustering algorithm selection by meta-learning systems

    Daniel Gomes Ferrari;Leandro Nunes de Castro

  • Data Clustering with Particle Swarms

    Unknown

  • IMMUNE AND NEURAL NETWORK MODELS: THEORETICAL AND EMPIRICAL COMPARISONS

    Leandro Nunes de Castro;Fernando J. Von Zuben

  • Evolutionary algorithms for clustering gene-expression data

    E.R. Hruschka;L.N. de Castro;R.J.G.B. Campello

  • The construction of a Boolean competitive neural network using ideas from immunology

    Leandro Nunes de Castro;Fernando J. Von Zuben;Getúlio A. de Deus

Frequent Co-Authors

Fernando J. Von Zuben
Fernando J. Von Zuben State University of Campinas
Jon Timmis
Jon Timmis University of Sunderland
Eduardo R. Hruschka
Eduardo R. Hruschka Universidade de São Paulo
Juan M. Corchado
Juan M. Corchado University of Salamanca
Ricardo J. G. B. Campello
Ricardo J. G. B. Campello University of Southern Denmark

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