Vico Pascual

57 total papers · 877 total citations
25 papers, 541 citations indexed

About

Vico Pascual is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Vico Pascual has authored 25 papers receiving a total of 541 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 5 papers in Computational Theory and Mathematics. Recurrent topics in Vico Pascual's work include Logic, programming, and type systems (5 papers), Cell Image Analysis Techniques (5 papers) and Digital Imaging for Blood Diseases (5 papers). Vico Pascual is often cited by papers focused on Logic, programming, and type systems (5 papers), Cell Image Analysis Techniques (5 papers) and Digital Imaging for Blood Diseases (5 papers). Vico Pascual collaborates with scholars based in Spain, United Kingdom and Mexico. Vico Pascual's co-authors include Jónathan Heras, César Domínguez, Eloy Mata, Myriam Zarazaga, Cármen Torres, Carmen Lozano, Julio Rubio, Carla Andrea Alonso, Ignacio Ochoa and Miguel Ángel Zapata and has published in prestigious journals such as IEEE Access, BMC Bioinformatics and Neurocomputing.

In The Last Decade

Vico Pascual

22 papers receiving 524 citations

Author Peers

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

Author Last Decade Papers Cites
Vico Pascual 117 109 100 73 63 25 541
Eloy Mata 108 0.9× 109 1.0× 100 1.0× 46 0.6× 63 1.0× 17 473
Paul Fieguth 124 1.1× 15 0.1× 41 0.4× 40 0.5× 34 0.5× 11 561
Junshu Wang 268 2.3× 24 0.2× 27 0.3× 36 0.5× 22 0.3× 36 583
Yiqing Liu 186 1.6× 20 0.2× 11 0.1× 110 1.5× 18 0.3× 46 514
Xiao Liu 207 1.8× 20 0.2× 95 0.9× 30 0.4× 52 0.8× 26 463
Wei‐Jiun Lin 152 1.3× 15 0.1× 37 0.4× 105 1.4× 73 1.2× 19 466
Christina Boucher 316 2.7× 97 0.9× 19 0.2× 152 2.1× 55 0.9× 64 600
Syed Fahad Tahir 63 0.5× 43 0.4× 10 0.1× 81 1.1× 27 0.4× 24 542
Will Rowe 231 2.0× 156 1.4× 85 0.8× 35 0.5× 115 1.8× 15 541
Praveen K. Sahu 167 1.4× 108 1.0× 55 0.6× 7 0.1× 10 0.2× 31 589

Countries citing papers authored by Vico Pascual

Since Specialization
Citations

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

Fields of papers citing papers by Vico Pascual

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vico Pascual

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