Eduardo Segredo

61 total papers · 583 total citations
41 papers, 347 citations indexed

About

Eduardo Segredo is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Science Applications. According to data from OpenAlex, Eduardo Segredo has authored 41 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 21 papers in Computational Theory and Mathematics and 7 papers in Computer Science Applications. Recurrent topics in Eduardo Segredo's work include Metaheuristic Optimization Algorithms Research (24 papers), Advanced Multi-Objective Optimization Algorithms (21 papers) and Evolutionary Algorithms and Applications (15 papers). Eduardo Segredo is often cited by papers focused on Metaheuristic Optimization Algorithms Research (24 papers), Advanced Multi-Objective Optimization Algorithms (21 papers) and Evolutionary Algorithms and Applications (15 papers). Eduardo Segredo collaborates with scholars based in Spain, United Kingdom and Mexico. Eduardo Segredo's co-authors include Coromoto León, Carlos Segura, Gara Miranda, Carlos A. Coello Coello, Emma Hart, Eduardo Lalla‐Ruiz, Stefan Voß, Ben Paechter, Rafael Arnay and C. Rodrı́guez and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and IEEE Transactions on Cybernetics.

In The Last Decade

Eduardo Segredo

39 papers receiving 342 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Eduardo Segredo	196	149	57	44	34	41	347
Chan‐Jin Chung	218 1.1×	89 0.6×	40 0.7×	30 0.7×	39 1.1×	31	390
Shangshang Yang	263 1.3×	145 1.0×	27 0.5×	17 0.4×	19 0.6×	37	385
Xinguo Yu	156 0.8×	28 0.2×	32 0.6×	25 0.6×	18 0.5×	65	296
Angelika Mader	93 0.5×	189 1.3×	7 0.1×	31 0.7×	19 0.6×	41	307
Yi‐Hung Huang	206 1.1×	31 0.2×	37 0.6×	10 0.2×	9 0.3×	25	359
Jorge Figueiredo	104 0.5×	59 0.4×	63 1.1×	19 0.4×	16 0.5×	53	351
John R. McDonnell	257 1.3×	71 0.5×	5 0.1×	30 0.7×	52 1.5×	37	327
Maria do Carmo Nicoletti	171 0.9×	27 0.2×	16 0.3×	12 0.3×	14 0.4×	58	357
Bernard Riera	32 0.2×	170 1.1×	19 0.3×	148 3.4×	101 3.0×	70	401
Peter Sunehag	218 1.1×	59 0.4×	11 0.2×	11 0.3×	37 1.1×	26	332

Countries citing papers authored by Eduardo Segredo

Since Specialization

Citations

This map shows the geographic impact of Eduardo Segredo'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 Eduardo Segredo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eduardo Segredo more than expected).

Fields of papers citing papers by Eduardo Segredo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eduardo Segredo. 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 Eduardo Segredo. The network helps show where Eduardo Segredo may publish in the future.

Co-authorship network of co-authors of Eduardo Segredo

This figure shows the co-authorship network connecting the top 25 collaborators of Eduardo Segredo. A scholar is included among the top collaborators of Eduardo Segredo 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 Eduardo Segredo. Eduardo Segredo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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.

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