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.
Memetic algorithms and memetic computing optimization: A literature review
This map shows the geographic impact of Carlos Cotta'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 Carlos Cotta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carlos Cotta more than expected).
This network shows the impact of papers produced by Carlos Cotta. 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 Carlos Cotta. The network helps show where Carlos Cotta may publish in the future.
Co-authorship network of co-authors of Carlos Cotta
This figure shows the co-authorship network connecting the top 25 collaborators of Carlos Cotta.
A scholar is included among the top collaborators of Carlos Cotta 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 Carlos Cotta. Carlos Cotta is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Lara-Cabrera, Raúl, et al.. (2015). Game Artificial Intelligence: Challenges for the Scientific Community.. Repositorio Institucional de la Universidad de Málaga (University of Málaga). 1–12.4 indexed citations
5.
Cotta, Carlos, et al.. (2013). Analyzing meme propagation in multimemetic algorithms: Initial investigations. Federated Conference on Computer Science and Information Systems. 1013–1019.4 indexed citations
Cotta, Carlos, et al.. (2009). A Computational Analysis of Galactic Exploration with Space Probes - Implications for the Fermi Paradox. JBIS. 62. 82–88.7 indexed citations
12.
Hemert, Jano van, et al.. (2008). Evolutionary computation in combinatorial optimization : 8th European conference, EvoCOP 2008, Naples, Italy, March 26-28, 2008 : proceedings. Springer eBooks.1 indexed citations
13.
Cotta, Carlos, et al.. (2008). Adaptive and Multilevel Metaheuristics (Studies in Computational Intelligence). Springer eBooks.6 indexed citations
Cotta, Carlos, et al.. (2007). Evolutionary computation in combinatorial optimization : 7th European Conference, EvoCOP 2007, Valencia, Spain, April 11-13, 2007 : proceedings. Springer eBooks.1 indexed citations
16.
Moscato, Pablo & Carlos Cotta. (2003). Una Introducción a los Algoritmos Memeticos. Redalyc (Universidad Autónoma del Estado de México). 7(19). 131–148.10 indexed citations
Cotta, Carlos, et al.. (2002). Parallel evolutionary algorithms in telecommunications: two case studies. El Servicio de Difusión de la Creación Intelectual (National University of La Plata).4 indexed citations
Berretta, Regina, Carlos Cotta, & Pablo Moscato. (2001). Forma Analysis and new Heuristic Ideas for the Number Partitioning Problem.
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.