Gracia Sánchez

46 total papers · 688 total citations
28 papers, 468 citations indexed

About

Gracia Sánchez is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Control and Systems Engineering. According to data from OpenAlex, Gracia Sánchez has authored 28 papers receiving a total of 468 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 11 papers in Computational Theory and Mathematics and 6 papers in Control and Systems Engineering. Recurrent topics in Gracia Sánchez's work include Evolutionary Algorithms and Applications (11 papers), Advanced Multi-Objective Optimization Algorithms (10 papers) and Metaheuristic Optimization Algorithms Research (9 papers). Gracia Sánchez is often cited by papers focused on Evolutionary Algorithms and Applications (11 papers), Advanced Multi-Objective Optimization Algorithms (10 papers) and Metaheuristic Optimization Algorithms Research (9 papers). Gracia Sánchez collaborates with scholars based in Spain, Italy and Malaysia. Gracia Sánchez's co-authors include Fernando Jiménez, Guido Sciavicco, José Palma, Antonio Skármeta, Kalyanmoy Deb, José M. Garcı́a, José M. Juárez, Pandian Vasant, José Luís Verdegay and David Hervás and has published in prestigious journals such as IEEE Access, Information Sciences and IEEE Transactions on Fuzzy Systems.

In The Last Decade

Gracia Sánchez

27 papers receiving 451 citations

Author Peers

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

Author Last Decade Papers Cites
Gracia Sánchez 282 130 50 39 38 28 468
Rui Ding 171 0.6× 136 1.0× 75 1.5× 29 0.7× 43 1.1× 30 450
Shuwei Zhu 287 1.0× 227 1.7× 38 0.8× 39 1.0× 22 0.6× 28 415
Rafael Blanquero 165 0.6× 61 0.5× 71 1.4× 63 1.6× 29 0.8× 35 486
Arturo Hernández Aguirre 377 1.3× 257 2.0× 28 0.6× 49 1.3× 31 0.8× 29 531
Hakan Ezgi Kızılöz 326 1.2× 81 0.6× 22 0.4× 30 0.8× 40 1.1× 20 505
Alexander Karlsson 131 0.5× 130 1.0× 40 0.8× 44 1.1× 22 0.6× 36 415
Jerry Swan 302 1.1× 139 1.1× 113 2.3× 21 0.5× 56 1.5× 47 516
Djaafar Zouache 307 1.1× 188 1.4× 41 0.8× 56 1.4× 43 1.1× 23 529
Yang-Geng Fu 271 1.0× 119 0.9× 114 2.3× 40 1.0× 83 2.2× 37 447
Mostefa Golea 406 1.4× 104 0.8× 17 0.3× 51 1.3× 53 1.4× 20 502

Countries citing papers authored by Gracia Sánchez

Since Specialization
Citations

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

Fields of papers citing papers by Gracia Sánchez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gracia Sánchez

This figure shows the co-authorship network connecting the top 25 collaborators of Gracia Sánchez. A scholar is included among the top collaborators of Gracia Sánchez 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 Gracia Sánchez. Gracia Sánchez 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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