S. Martinez-Conde

12 total papers · 526 total citations
6 papers, 376 citations indexed

About

S. Martinez-Conde is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Sensory Systems. According to data from OpenAlex, S. Martinez-Conde has authored 6 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 4 papers in Cognitive Neuroscience and 2 papers in Sensory Systems. Recurrent topics in S. Martinez-Conde's work include Visual perception and processing mechanisms (4 papers), Visual Attention and Saliency Detection (4 papers) and Olfactory and Sensory Function Studies (2 papers). S. Martinez-Conde is often cited by papers focused on Visual perception and processing mechanisms (4 papers), Visual Attention and Saliency Detection (4 papers) and Olfactory and Sensory Function Studies (2 papers). S. Martinez-Conde collaborates with scholars based in United States and Spain. S. Martinez-Conde's co-authors include Stephen L. Macknik, Jorge Otero‐Millan, Ignacio Serrano‐Pedraza, Xoana G. Troncoso, Leandro L. Di Stasi, Carmen Sáez, Andrés Catena, Harvey A. Swadlow, José‐Manuel Alonso and Michael B. McCamy and has published in prestigious journals such as Journal of Vision.

In The Last Decade

S. Martinez-Conde

5 papers receiving 373 citations

Author Peers

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

Author Last Decade Papers Cites
S. Martinez-Conde 293 64 63 50 40 6 376
Hee‐kyoung Ko 270 0.9× 45 0.7× 67 1.1× 48 1.0× 38 0.9× 6 332
Fabrizio Santini 284 1.0× 46 0.7× 41 0.7× 51 1.0× 54 1.4× 8 382
Robert J. Molitor 275 0.9× 53 0.8× 54 0.9× 85 1.7× 22 0.6× 10 432
Elena Betta 369 1.3× 31 0.5× 36 0.6× 36 0.7× 24 0.6× 9 397
L. R. Young 243 0.8× 64 1.0× 76 1.2× 21 0.4× 12 0.3× 12 414
Alicia Peltsch 170 0.6× 40 0.6× 38 0.6× 53 1.1× 7 0.2× 9 360
Holger Awater 404 1.4× 27 0.4× 23 0.4× 25 0.5× 28 0.7× 7 414
G. Vossius 232 0.8× 69 1.1× 88 1.4× 23 0.5× 16 0.4× 6 373
A. Linksz 281 1.0× 41 0.6× 15 0.2× 36 0.7× 47 1.2× 2 435
Dominic W. Hughes 172 0.6× 47 0.7× 25 0.4× 43 0.9× 11 0.3× 4 400

Countries citing papers authored by S. Martinez-Conde

Since Specialization
Citations

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

Fields of papers citing papers by S. Martinez-Conde

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. Martinez-Conde. 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 S. Martinez-Conde. The network helps show where S. Martinez-Conde may publish in the future.

Co-authorship network of co-authors of S. Martinez-Conde

This figure shows the co-authorship network connecting the top 25 collaborators of S. Martinez-Conde. A scholar is included among the top collaborators of S. Martinez-Conde 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 S. Martinez-Conde. S. Martinez-Conde 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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