Fernando Arroyo

78 total papers · 450 total citations
39 papers, 154 citations indexed

About

Fernando Arroyo is a scholar working on Molecular Biology, Computational Theory and Mathematics and Mechanical Engineering. According to data from OpenAlex, Fernando Arroyo has authored 39 papers receiving a total of 154 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 17 papers in Computational Theory and Mathematics and 17 papers in Mechanical Engineering. Recurrent topics in Fernando Arroyo's work include DNA and Biological Computing (30 papers), Modular Robots and Swarm Intelligence (17 papers) and Cellular Automata and Applications (13 papers). Fernando Arroyo is often cited by papers focused on DNA and Biological Computing (30 papers), Modular Robots and Swarm Intelligence (17 papers) and Cellular Automata and Applications (13 papers). Fernando Arroyo collaborates with scholars based in Spain, Romania and United States. Fernando Arroyo's co-authors include Luis Sánchez Fernández, Juan Castellanos, Miguel Redondo‐Nieto, Ángel Goñi‐Moreno, Abraham Gutiérrez, Víctor Mitrana, Sandra Gómez-Canaval, Ştefan Popescu, Victor Mitrana and Iván García and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Virology and Information Sciences.

In The Last Decade

Fernando Arroyo

34 papers receiving 130 citations

Author Peers

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

Author						Papers	Cites
Fernando Arroyo	127	73	45	29	11	39	154
Juan Castellanos	115 0.9×	60 0.8×	46 1.0×	62 2.1×	19 1.7×	28	168
Pierluigi Frisco	190 1.5×	109 1.5×	81 1.8×	25 0.9×	3 0.3×	27	211
Victor Mitrana	148 1.2×	65 0.9×	93 2.1×	91 3.1×	25 2.3×	23	175
Katsunobu Imai	81 0.6×	35 0.5×	159 3.5×	37 1.3×	2 0.2×	39	179
Taisuke Izumi	25 0.2×	56 0.8×	22 0.5×	21 0.7×		41	187
Simon Hickinbotham	44 0.3×	27 0.4×	20 0.4×	39 1.3×	40 3.6×	46	176
Claudio Ferretti	116 0.9×	56 0.8×	55 1.2×	38 1.3×	1 0.1×	36	152
Alica Kelemenová	141 1.1×	103 1.4×	109 2.4×	87 3.0×	3 0.3×	22	201
Ian McQuillan	152 1.2×	7 0.1×	71 1.6×	72 2.5×	14 1.3×	58	232
Bogdan Aman	198 1.6×	105 1.4×	99 2.2×	28 1.0×	1 0.1×	52	221

Countries citing papers authored by Fernando Arroyo

Since Specialization

Citations

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

Fields of papers citing papers by Fernando Arroyo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fernando Arroyo

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