Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Learning and optimization using the clonal selection principle
20021.4k citationsLeandro Nunes de Castro, Fernando J. Von Zubenprofile →
Countries citing papers authored by Leandro Nunes de Castro
Since
Specialization
Citations
This map shows the geographic impact of Leandro Nunes de Castro's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Leandro Nunes de Castro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leandro Nunes de Castro more than expected).
Fields of papers citing papers by Leandro Nunes de Castro
This network shows the impact of papers produced by Leandro Nunes de Castro. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Leandro Nunes de Castro. The network helps show where Leandro Nunes de Castro may publish in the future.
Co-authorship network of co-authors of Leandro Nunes de Castro
This figure shows the co-authorship network connecting the top 25 collaborators of Leandro Nunes de Castro.
A scholar is included among the top collaborators of Leandro Nunes de Castro based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Leandro Nunes de Castro. Leandro Nunes de Castro is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Willging, Pedro, et al.. (2017). Educación con tecnologías: la robótica educativa aplicada para el aprendizaje de la programación. El Servicio de Difusión de la Creación Intelectual (National University of La Plata).2 indexed citations
6.
Castro, Leandro Nunes de, et al.. (2013). Natural Information and Computation: A Proposal Based on Interaction and Decision Making.. National Conference on Artificial Intelligence.1 indexed citations
Castro, Leandro Nunes de. (2006). Fundamentals of Natural Computing (Chapman & Hall/Crc Computer and Information Sciences).21 indexed citations
12.
França, Fabrício Olivetti de, Fernando J. Von Zuben, & Leandro Nunes de Castro. (2005). Max Min Ant System and Capacitated p-Medians: Extensions and Improved Solutions. Scopus. 29(2). 163–172.7 indexed citations
Castro, Leandro Nunes de & Jon Timmis. (2002). Artificial Immune Systems: A New Computational Approach. Kent Academic Repository (University of Kent).81 indexed citations
Castro, Leandro Nunes de, et al.. (1998). Optimised Training Techniques For Feedforward Neural Networks.7 indexed citations
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive
bibliographic database. While OpenAlex provides broad and valuable coverage of the global
research landscape, it—like all bibliographic datasets—has inherent limitations. These include
incomplete records, variations in author disambiguation, differences in journal indexing, and
delays in data updates. As a result, some metrics and network relationships displayed in
Rankless may not fully capture the entirety of a scholar's output or impact.