Alberto Pérez

47 total papers · 639 total citations
26 papers, 455 citations indexed

About

Alberto Pérez is a scholar working on Computer Vision and Pattern Recognition, Animal Science and Zoology and Aerospace Engineering. According to data from OpenAlex, Alberto Pérez has authored 26 papers receiving a total of 455 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 4 papers in Animal Science and Zoology and 4 papers in Aerospace Engineering. Recurrent topics in Alberto Pérez's work include Optical measurement and interference techniques (6 papers), Meat and Animal Product Quality (4 papers) and Spectroscopy and Chemometric Analyses (4 papers). Alberto Pérez is often cited by papers focused on Optical measurement and interference techniques (6 papers), Meat and Animal Product Quality (4 papers) and Spectroscopy and Chemometric Analyses (4 papers). Alberto Pérez collaborates with scholars based in Spain, Brazil and Switzerland. Alberto Pérez's co-authors include J. V. Benlloch, Fernando López‐García, Svend Christensen, Juan-Carlos Pérez-Cortés, Samuel Verdú, José Manuel Barat Baviera, Raúl Grau, Pau Talens, Eduardo García Sánchez and María Ruiz‐Rico and has published in prestigious journals such as IEEE Access, Sensors and International Journal of Environmental Research and Public Health.

In The Last Decade

Alberto Pérez

24 papers receiving 410 citations

Author Peers

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

Author						Papers	Cites
Alberto Pérez	253	132	119	60	60	26	455
C.M. Onyango	248 1.0×	106 0.8×	111 0.9×	100 1.7×	47 0.8×	29	484
Suk-Ju Hong	193 0.8×	112 0.8×	141 1.2×	64 1.1×	57 0.9×	33	504
Hyun Kwon Suh	307 1.2×	113 0.9×	109 0.9×	32 0.5×	33 0.6×	19	469
Alwaseela Abdalla	309 1.2×	153 1.2×	128 1.1×	31 0.5×	52 0.9×	23	525
Zhihao Liu	309 1.2×	62 0.5×	89 0.7×	58 1.0×	30 0.5×	15	469
Wenxin Yin	188 0.7×	222 1.7×	157 1.3×	42 0.7×	125 2.1×	20	496
Gilberto Astolfi	218 0.9×	81 0.6×	50 0.4×	49 0.8×	42 0.7×	22	414
Ioannis Malounas	310 1.2×	85 0.6×	123 1.0×	30 0.5×	30 0.5×	12	492
Kenta Itakura	218 0.9×	141 1.1×	91 0.8×	44 0.7×	147 2.5×	25	486
Willian Paraguassu Amorim	289 1.1×	116 0.9×	87 0.7×	82 1.4×	51 0.8×	18	499

Countries citing papers authored by Alberto Pérez

Since Specialization

Citations

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

Fields of papers citing papers by Alberto Pérez

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alberto Pérez

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