Pablo Martínez‐Cañada

42 total papers · 658 total citations
14 papers, 267 citations indexed

About

Pablo Martínez‐Cañada is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Pablo Martínez‐Cañada has authored 14 papers receiving a total of 267 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cognitive Neuroscience, 7 papers in Cellular and Molecular Neuroscience and 4 papers in Molecular Biology. Recurrent topics in Pablo Martínez‐Cañada's work include Neural dynamics and brain function (10 papers), Retinal Development and Disorders (4 papers) and Visual perception and processing mechanisms (4 papers). Pablo Martínez‐Cañada is often cited by papers focused on Neural dynamics and brain function (10 papers), Retinal Development and Disorders (4 papers) and Visual perception and processing mechanisms (4 papers). Pablo Martínez‐Cañada collaborates with scholars based in Spain, Norway and Italy. Pablo Martínez‐Cañada's co-authors include Francisco Pelayo, Raquel Ureña, Christian Morillas, Stefano Panzeri, Valerio Zerbi, John Suckling, Carola Canella, Amber Ruigrok, Edward T. Bullmore and Federico Rocchi and has published in prestigious journals such as eLife, PLoS Computational Biology and Neurocomputing.

In The Last Decade

Pablo Martínez‐Cañada

13 papers receiving 262 citations

Author Peers

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

Author Last Decade Papers Cites
Pablo Martínez‐Cañada 153 72 65 29 22 14 267
Julia Berzhanskaya 270 1.8× 42 0.6× 130 2.0× 20 0.7× 53 2.4× 12 313
Jaeson Jang 143 0.9× 37 0.5× 54 0.8× 12 0.4× 37 1.7× 11 310
Gunvant Chaudhari 78 0.5× 37 0.5× 38 0.6× 9 0.3× 70 3.2× 16 305
Arthur C. Tsai 169 1.1× 37 0.5× 58 0.9× 5 0.2× 8 0.4× 22 325
Michael Doron 133 0.9× 11 0.2× 133 2.0× 40 1.4× 9 0.4× 8 259
Yasser Ghanbari 170 1.1× 43 0.6× 34 0.5× 16 0.6× 9 0.4× 15 286
Verónica Medina-Bañuelos 77 0.5× 135 1.9× 33 0.5× 16 0.6× 4 0.2× 24 314
Wei Wei 88 0.6× 101 1.4× 13 0.2× 13 0.4× 40 1.8× 19 281
Dimitris Samaras 64 0.4× 160 2.2× 63 1.0× 2 0.1× 7 0.3× 14 315
Maria Stavrinou 177 1.2× 42 0.6× 86 1.3× 24 0.8× 6 0.3× 14 301

Countries citing papers authored by Pablo Martínez‐Cañada

Since Specialization
Citations

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

Fields of papers citing papers by Pablo Martínez‐Cañada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pablo Martínez‐Cañada. 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 Pablo Martínez‐Cañada. The network helps show where Pablo Martínez‐Cañada may publish in the future.

Co-authorship network of co-authors of Pablo Martínez‐Cañada

This figure shows the co-authorship network connecting the top 25 collaborators of Pablo Martínez‐Cañada. A scholar is included among the top collaborators of Pablo Martínez‐Cañada 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 Pablo Martínez‐Cañada. Pablo Martínez‐Cañada 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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