Guillermo de Arcas

114 total papers · 1.2k total citations
72 papers, 795 citations indexed

About

Guillermo de Arcas is a scholar working on Biomedical Engineering, Nuclear and High Energy Physics and Computer Networks and Communications. According to data from OpenAlex, Guillermo de Arcas has authored 72 papers receiving a total of 795 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Biomedical Engineering, 19 papers in Nuclear and High Energy Physics and 14 papers in Computer Networks and Communications. Recurrent topics in Guillermo de Arcas's work include Magnetic confinement fusion research (17 papers), Noise Effects and Management (12 papers) and Neurological disorders and treatments (7 papers). Guillermo de Arcas is often cited by papers focused on Magnetic confinement fusion research (17 papers), Noise Effects and Management (12 papers) and Neurological disorders and treatments (7 papers). Guillermo de Arcas collaborates with scholars based in Spain, Italy and Portugal. Guillermo de Arcas's co-authors include C. Asensio, Ignacio Pavón, Juan Manuel López, Luis Gascó, Luis Sigcha, Pedro Arezes, Nélson Costa, Susana Costa, M. Ruíz and M. Recuero and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and The Journal of the Acoustical Society of America.

In The Last Decade

Guillermo de Arcas

63 papers receiving 778 citations

Author Peers

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

Author Last Decade Papers Cites
Guillermo de Arcas 240 216 120 117 112 72 795
Juan Manuel López 117 0.5× 259 1.2× 113 0.9× 117 1.0× 75 0.7× 81 895
C. LEWIS 48 0.2× 29 0.1× 65 0.5× 8 0.1× 60 0.5× 82 957
Pedro Cobo 354 1.5× 630 2.9× 199 1.7× 4 0.0× 212 1.9× 98 1.0k
Athanasios Sideris 29 0.1× 138 0.6× 26 0.2× 18 0.2× 121 1.1× 41 839
Marco Tarabini 108 0.5× 285 1.3× 36 0.3× 7 0.1× 29 0.3× 160 1.0k
Yun Li 40 0.2× 20 0.1× 21 0.2× 19 0.2× 230 2.1× 68 968
Masahiro Toyoda 182 0.8× 517 2.4× 87 0.7× 6 0.1× 53 0.5× 76 734
Jinsheng Zhang 23 0.1× 122 0.6× 133 1.1× 100 0.9× 78 1.0k
Nadège Varsier 121 0.5× 346 1.6× 8 0.1× 5 0.0× 27 0.2× 39 898
Jeffrey S. Vipperman 26 0.1× 350 1.6× 64 0.5× 14 0.1× 19 0.2× 83 998

Countries citing papers authored by Guillermo de Arcas

Since Specialization
Citations

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

Fields of papers citing papers by Guillermo de Arcas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guillermo de Arcas. 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 Guillermo de Arcas. The network helps show where Guillermo de Arcas may publish in the future.

Co-authorship network of co-authors of Guillermo de Arcas

This figure shows the co-authorship network connecting the top 25 collaborators of Guillermo de Arcas. A scholar is included among the top collaborators of Guillermo de Arcas 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 Guillermo de Arcas. Guillermo de Arcas 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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