J.M. Mateos-Pérez

22 total papers · 1.9k total citations
17 papers, 538 citations indexed

About

J.M. Mateos-Pérez is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Epidemiology. According to data from OpenAlex, J.M. Mateos-Pérez has authored 17 papers receiving a total of 538 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Cognitive Neuroscience and 4 papers in Epidemiology. Recurrent topics in J.M. Mateos-Pérez's work include Advanced MRI Techniques and Applications (9 papers), Advanced Neuroimaging Techniques and Applications (7 papers) and Functional Brain Connectivity Studies (7 papers). J.M. Mateos-Pérez is often cited by papers focused on Advanced MRI Techniques and Applications (9 papers), Advanced Neuroimaging Techniques and Applications (7 papers) and Functional Brain Connectivity Studies (7 papers). J.M. Mateos-Pérez collaborates with scholars based in Spain, Canada and United States. J.M. Mateos-Pérez's co-authors include Manuel Desco, Alan C. Evans, Juan A. Guzmán‐De‐Villoria, Sherif Karama, Aurélie Labbe, Tuong‐Vi Nguyen, Simon Ducharme, James J. Hudziak, Matthew D. Albaugh and Pilar Fernández-García and has published in prestigious journals such as PLoS ONE, NeuroImage and The British Journal of Psychiatry.

In The Last Decade

J.M. Mateos-Pérez

17 papers receiving 529 citations

Author Peers

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

Author Last Decade Papers Cites
J.M. Mateos-Pérez 224 204 71 62 56 17 538
Karl‐Heinz Nenning 213 1.0× 272 1.3× 63 0.9× 60 1.0× 44 0.8× 37 600
Benjamin Billot 247 1.1× 150 0.7× 67 0.9× 20 0.3× 30 0.5× 17 590
Arpan R. Chakraborty 158 0.7× 303 1.5× 108 1.5× 29 0.5× 37 0.7× 19 529
TR Kapilamoorthy 182 0.8× 352 1.7× 78 1.1× 45 0.7× 50 0.9× 10 581
Sara Castañer 195 0.9× 241 1.2× 84 1.2× 134 2.2× 79 1.4× 21 608
Pedro Alves 121 0.5× 243 1.2× 98 1.4× 46 0.7× 42 0.8× 30 592
Stephen Wastling 244 1.1× 88 0.4× 51 0.7× 141 2.3× 52 0.9× 32 601
Elisabetta Geda 75 0.3× 318 1.6× 117 1.6× 41 0.7× 55 1.0× 16 538
Marianne Schell 277 1.2× 204 1.0× 35 0.5× 116 1.9× 22 0.4× 16 579
Kevin Jarbo 357 1.6× 311 1.5× 60 0.8× 23 0.4× 65 1.2× 10 609

Countries citing papers authored by J.M. Mateos-Pérez

Since Specialization
Citations

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

Fields of papers citing papers by J.M. Mateos-Pérez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.M. Mateos-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 J.M. Mateos-Pérez. The network helps show where J.M. Mateos-Pérez may publish in the future.

Co-authorship network of co-authors of J.M. Mateos-Pérez

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