José Mej­ía

91 total papers · 1.1k total citations
34 papers, 748 citations indexed

About

José Mej­ía is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Computer Networks and Communications. According to data from OpenAlex, José Mej­ía has authored 34 papers receiving a total of 748 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 10 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Computer Networks and Communications. Recurrent topics in José Mej­ía's work include Medical Imaging Techniques and Applications (10 papers), Image and Signal Denoising Methods (6 papers) and Complex Systems and Time Series Analysis (4 papers). José Mej­ía is often cited by papers focused on Medical Imaging Techniques and Applications (10 papers), Image and Signal Denoising Methods (6 papers) and Complex Systems and Time Series Analysis (4 papers). José Mej­ía collaborates with scholars based in Mexico, United States and Spain. José Mej­ía's co-authors include Ignacio Rodríguez‐Iturbe, I. Rodriguez‐Iturbe, David R. Dawdy, Liliana Avelar-Sosa, Raul S. McQuivey, Carl F. Nordin, Alberto Ochoa, Osslan Osíris Vergara Villegas, Humberto de Jesús Ochoa Domínguez and Jorge Luis García-Alcaráz and has published in prestigious journals such as Scientific Reports, Water Resources Research and IEEE Access.

In The Last Decade

José Mej­ía

31 papers receiving 591 citations

Author Peers

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

Author Last Decade Papers Cites
José Mej­ía 303 256 187 163 102 34 748
Theano Iliopoulou 399 1.3× 105 0.4× 141 0.8× 220 1.3× 82 0.8× 74 767
Yanjun Wang 247 0.8× 354 1.4× 122 0.7× 92 0.6× 35 0.3× 51 792
Javier Estévez 597 2.0× 270 1.1× 187 1.0× 197 1.2× 68 0.7× 41 875
Carlos E. Puente 332 1.1× 271 1.1× 99 0.5× 213 1.3× 206 2.0× 52 652
Rui Liu 499 1.6× 199 0.8× 104 0.6× 119 0.7× 52 0.5× 23 821
Mohammad Karimi 390 1.3× 122 0.5× 65 0.3× 119 0.7× 30 0.3× 46 791
E. Gutiérrez de Ravé 301 1.0× 215 0.8× 151 0.8× 94 0.6× 235 2.3× 45 837
Steven Weijs 341 1.1× 258 1.0× 158 0.8× 393 2.4× 20 0.2× 33 747
Andrew Ross 335 1.1× 163 0.6× 147 0.8× 199 1.2× 18 0.2× 46 903
Rongjin Yang 261 0.9× 161 0.6× 54 0.3× 123 0.8× 120 1.2× 40 772

Countries citing papers authored by José Mej­ía

Since Specialization
Citations

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

Fields of papers citing papers by José Mej­ía

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of José Mej­ía

This figure shows the co-authorship network connecting the top 25 collaborators of José Mej­ía. A scholar is included among the top collaborators of José Mej­ía 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 José Mej­ía. José Mej­ía 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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2026