Charles Martín

619 total citations
47 papers, 267 citations indexed

About

Charles Martín is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Signal Processing. According to data from OpenAlex, Charles Martín has authored 47 papers receiving a total of 267 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Vision and Pattern Recognition, 15 papers in Cognitive Neuroscience and 13 papers in Signal Processing. Recurrent topics in Charles Martín's work include Music Technology and Sound Studies (20 papers), Music and Audio Processing (12 papers) and Interactive and Immersive Displays (9 papers). Charles Martín is often cited by papers focused on Music Technology and Sound Studies (20 papers), Music and Audio Processing (12 papers) and Interactive and Immersive Displays (9 papers). Charles Martín collaborates with scholars based in Australia, Norway and United States. Charles Martín's co-authors include Jim Tørresen, Michael Müller, Anna Kantosalo, Greg Walsh, Lydia B. Chilton, Kyrre Glette, David Howard, Henry Gardner, Kristian Nymoen and Mary Lou Maher and has published in prestigious journals such as Pain, Physiologia Plantarum and Journal of Advertising.

In The Last Decade

Charles Martín

33 papers receiving 251 citations

Peers

Charles Martín
Comparison fields: 5 of 95
  • Computer Vision and Pattern Recognition 66
  • Human-Computer Interaction 55
  • Cognitive Neuroscience 48
  • Mechanical Engineering 45
  • Artificial Intelligence 43
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Citations per field, relative to Charles Martín
Charles Martín · 1×
Citations per year, relative to Charles Martín
Charles Martín · 1×

Countries citing papers authored by Charles Martín

Since Specialization
Citations

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

Fields of papers citing papers by Charles Martín

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Charles Martín

This figure shows the co-authorship network connecting the top 25 collaborators of Charles Martín. A scholar is included among the top collaborators of Charles Martín 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 Charles Martín. Charles Martín is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 2
3 12
4 8
5 0
6 16
7 7
8 1
9 2
10 1
11 2
12
A Physical Intelligent Instrument using Recurrent Neural Networks.
3
13 2
14 2
15 6
16
MUSIC OF 18 PERFORMANCES: EVALUATING APPS AND AGENTS WITH FREE IMPROVISATION
2
17 2
18 5
19 0
20
An Analysis of the Cognitive and Value Judgments Contained in the Six Longer Works of Literature Most Frequently Taught to High School Studentsin the United States
0

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