Oriol Nieto

4.2k total citations · 1 hit paper
34 papers, 2.3k citations indexed

About

Oriol Nieto is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Oriol Nieto has authored 34 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Signal Processing, 23 papers in Computer Vision and Pattern Recognition and 9 papers in Cognitive Neuroscience. Recurrent topics in Oriol Nieto's work include Music and Audio Processing (29 papers), Music Technology and Sound Studies (22 papers) and Speech and Audio Processing (15 papers). Oriol Nieto is often cited by papers focused on Music and Audio Processing (29 papers), Music Technology and Sound Studies (22 papers) and Speech and Audio Processing (15 papers). Oriol Nieto collaborates with scholars based in United States, Spain and China. Oriol Nieto's co-authors include Brian McFee, Colin Raffel, Dawen Liang, Daniel P. W. Ellis, Matt McVicar, Eric Battenberg, Juan Pablo Bello, Eric J. Humphrey, Justin Salamon and Xavier Serra and has published in prestigious journals such as SHILAP Revista de lepidopterología, Frontiers in Psychology and Repositori digital de la UPF (Universitat Pompeu Fabra).

In The Last Decade

Oriol Nieto

33 papers receiving 2.2k citations

Hit Papers

librosa: Audio and Music Signal Analysis in Python 2015 2026 2018 2022 2015 500 1000 1.5k

Peers

Oriol Nieto
Comparison fields: 5 of 118
  • Signal Processing 1.8k
  • Computer Vision and Pattern Recognition 893
  • Artificial Intelligence 616
  • Cognitive Neuroscience 332
  • Experimental and Cognitive Psychology 302
Replace Matt McVicar with:
Matt McVicar United Kingdom
Brian McFee United States
Eric Battenberg United States
Manoj Plakal United States
Jort F. Gemmeke Belgium
Aren Jansen United States
Rif A. Saurous United States
Marvin Ritter United States
Sourish Chaudhuri United States
Shawn Hershey United States
Matt McVicar United Kingdom View profile →
Citations per field, relative to Oriol Nieto
Oriol Nieto · 1×
Citations per year, relative to Oriol Nieto
Oriol Nieto · 1×

Countries citing papers authored by Oriol Nieto

Since Specialization
Citations

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

Fields of papers citing papers by Oriol Nieto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Oriol Nieto

This figure shows the co-authorship network connecting the top 25 collaborators of Oriol Nieto. A scholar is included among the top collaborators of Oriol Nieto 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 Oriol Nieto. Oriol Nieto 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 6
4 1
5 10
6 2
7 7
8 25
9 15
10 27
11 86
12 17
13 30
14
librosa: Audio and Music Signal Analysis in Python breakdown →
1676
15 10
16 7
17 190
18 11
19 14
20 3

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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