David Rizo
Impact in
- Signal Processing top 5%
- Music and Audio Processing
- Speech and Audio Processing
- Music top 5%
- Diverse Musicological Studies
Papers in
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- Music Technology and Sound Studies 23
- Handwritten Text Recognition Techniques 7
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- Music and Audio Processing 30
- Speech and Audio Processing 4
- Co-authors
- Jorge Calvo-Zaragoza (9 shared papers)José M. Iñesta (22 shared papers)Antonio Pertusa (2 shared papers)Alan Marsden (2 shared papers)Nicola Orio (3 shared papers)Olivier Lartillot (1 shared paper)Kjell Lemström (1 shared paper)Nicola Montecchio (1 shared paper)
In The Last Decade
David Rizo
30 papers receiving 197 citations
Peers
Comparison fields: 5 of 24
- Signal Processing 201
- Music 35
- Computer Vision and Pattern Recognition 179
- Cognitive Neuroscience 37
- Developmental Biology 3
Countries citing papers authored by David Rizo
This map shows the geographic impact of David Rizo'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 David Rizo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Rizo more than expected).
Fields of papers citing papers by David Rizo
This network shows the impact of papers produced by David Rizo. 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 David Rizo. The network helps show where David Rizo may publish in the future.
Co-authors
The 17 scholars most cited alongside David Rizo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 46 | |
| 2 | 2009 | 30 | |
| 3 | 2006 | 22 | |
| 4 | 2016 | 14 | |
| 5 | HARMONIC, MELODIC, AND FUNCTIONAL AUTOMATIC ANALYSIS | 2007 | 11 |
| 6 | 2018 | 10 | |
| 7 | 2011 | 10 | |
| 8 | 2023 | 9 | |
| 9 | 2016 | 8 | |
| 10 | 2018 | 6 | |
| 11 | Tree-structured Representation of Melodies for Comparison and Retrieval | 2002 | 5 |
| 12 | 2011 | 5 | |
| 13 | Tree model of symbolic music for tonality guessing | 2006 | 4 |
| 14 | 2016 | 4 | |
| 15 | 2007 | 3 | |
| 16 | 2011 | 3 | |
| 17 | 2018 | 3 | |
| 18 | Workshop on Exploring Musical Information Spaces | 2009 | 3 |
| 19 | A probabilistic approach to melodic similarity | 2009 | 3 |
| 20 | 2019 | 2 |
About David Rizo
David Rizo is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Music and Literature and Literary Theory, having authored 33 papers that have together received 216 indexed citations. Recurring topics across this work include Music and Audio Processing (30 papers), Music Technology and Sound Studies (23 papers), Diverse Musicological Studies (7 papers), Handwritten Text Recognition Techniques (7 papers), Algorithms and Data Compression (4 papers), Speech and Audio Processing (4 papers), Digital Humanities and Scholarship (2 papers) and Speech Recognition and Synthesis (2 papers). The work is most often cited by research in Signal Processing (201 citations), Music (35 citations), Computer Vision and Pattern Recognition (179 citations), Cognitive Neuroscience (37 citations) and Developmental Biology (3 citations). David Rizo has collaborated with scholars based in Spain, Italy and Finland. Frequent co-authors include Jorge Calvo-Zaragoza, José M. Iñesta, Antonio Pertusa, Alan Marsden, Nicola Orio, Olivier Lartillot, Kjell Lemström, Nicola Montecchio, Markus Schedl and Riccardo Miotto. Their work appears in journals such as Applied Sciences, Journal of New Music Research, International Journal on Document Analysis and Recognition (IJDAR), Connection Science and International Journal on Digital Libraries.
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.