Juan Tapia

123 total papers · 1.2k total citations
56 papers, 570 citations indexed

About

Juan Tapia is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Information Systems. According to data from OpenAlex, Juan Tapia has authored 56 papers receiving a total of 570 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Computer Vision and Pattern Recognition, 34 papers in Signal Processing and 6 papers in Information Systems. Recurrent topics in Juan Tapia's work include Biometric Identification and Security (34 papers), Face recognition and analysis (25 papers) and Digital Media Forensic Detection (14 papers). Juan Tapia is often cited by papers focused on Biometric Identification and Security (34 papers), Face recognition and analysis (25 papers) and Digital Media Forensic Detection (14 papers). Juan Tapia collaborates with scholars based in Germany, Chile and United States. Juan Tapia's co-authors include Carlos A. Perez, Christoph Busch, Kevin W. Bowyer, Andrés Valenzuela, Enrique López Droguett, P. A. Estévez, Christian Rathgeb, Rubén Boroschek, Marta Gomez‐Barrero and Kiran B. Raja and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Expert Systems with Applications.

In The Last Decade

Juan Tapia

49 papers receiving 537 citations

Author Peers

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

Author						Papers	Cites
Juan Tapia	341	267	71	53	41	56	570
Thái Hoàng Lê	239 0.7×	140 0.5×	122 1.7×	53 1.0×	21 0.5×	73	567
Ali Chekima	259 0.8×	166 0.6×	74 1.0×	114 2.2×	15 0.4×	73	630
Satnam Dlay	199 0.6×	296 1.1×	137 1.9×	71 1.3×	35 0.9×	59	573
Pravin Yannawar	176 0.5×	322 1.2×	206 2.9×	69 1.3×	11 0.3×	35	571
Ming Li	400 1.2×	212 0.8×	86 1.2×	87 1.6×	22 0.5×	31	542
Nasharuddin Zainal	252 0.7×	190 0.7×	88 1.2×	88 1.7×	16 0.4×	65	561
Guiyu Feng	394 1.2×	224 0.8×	54 0.8×	38 0.7×	26 0.6×	24	640
Murat Ekіncі	377 1.1×	168 0.6×	119 1.7×	53 1.0×	20 0.5×	73	586
Aihua Mao	261 0.8×	130 0.5×	82 1.2×	45 0.8×	34 0.8×	53	580
Maurício Pamplona Segundo	497 1.5×	216 0.8×	50 0.7×	45 0.8×	10 0.2×	29	653

Countries citing papers authored by Juan Tapia

Since Specialization

Citations

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

Fields of papers citing papers by Juan Tapia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juan Tapia

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