Charles Martín
- Computer Vision and Pattern Recognition top 10%
- Human-Computer Interaction top 5%
- Cognitive Neuroscience
- Mechanical Engineering
- Artificial Intelligence
- Co-authors
- Jim TørresenMichael MüllerAnna KantosaloGreg WalshLydia B. ChiltonKyrre GletteDavid HowardHenry Gardner
- Topics
- Music Technology and Sound Studies (20 papers)Music and Audio Processing (12 papers)Interactive and Immersive Displays (9 papers)
- Partner nations
- AustraliaNorwayUnited States
In The Last Decade
Charles Martín
33 papers receiving 251 citations
Peers
Comparison fields: 5 of 95
- Computer Vision and Pattern Recognition 66
- Human-Computer Interaction 55
- Cognitive Neuroscience 48
- Mechanical Engineering 45
- Artificial Intelligence 43
Countries citing papers authored by Charles Martín
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
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
| # | 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 |
About Charles Martín
Charles Martín is a scholar working on Human-Computer Interaction, Signal Processing and Computer Vision and Pattern Recognition, having authored 47 papers that have together received 267 indexed citations. Recurring topics across this work include Music Technology and Sound Studies (20 papers), Music and Audio Processing (12 papers) and Interactive and Immersive Displays (9 papers). The work is most often cited by research in Human-Computer Interaction (55 citations), Health Informatics (8 citations) and Computer Vision and Pattern Recognition (66 citations). Charles Martín has collaborated with scholars based in Australia, Norway and United States. Frequent 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. Their work appears in journals such as Pain, Physiologia Plantarum and Journal of Advertising.
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.