Débora Corrêa
Impact in
- Signal Processing top 5%
- Music and Audio Processing
- Speech and Audio Processing
- Time Series Analysis and Forecasting
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- Music Technology and Sound Studies
Papers in
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- Music Technology and Sound Studies 11
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- Music and Audio Processing 12
- Co-authors
- Francisco A. Rodrigues (1 shared paper)Michael Small (16 shared papers)David M. Walker (9 shared papers)Alexandre L. M. Levada (10 shared papers)Thomas Stemler (5 shared papers)Luís Gustavo Nonato (4 shared papers)Rodrigo Fernandes de Mello (3 shared papers)John Duncan (1 shared paper)
In The Last Decade
Débora Corrêa
41 papers receiving 329 citations
Peers
Comparison fields: 5 of 86
- Signal Processing 124
- Computer Vision and Pattern Recognition 121
- Statistical and Nonlinear Physics 48
- Cognitive Neuroscience 69
- Artificial Intelligence 92
Countries citing papers authored by Débora Corrêa
This map shows the geographic impact of Débora Corrêa'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 Débora Corrêa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Débora Corrêa more than expected).
Fields of papers citing papers by Débora Corrêa
This network shows the impact of papers produced by Débora Corrêa. 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 Débora Corrêa. The network helps show where Débora Corrêa may publish in the future.
Co-authors
The 25 scholars most cited alongside Débora Corrêa, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 57 | |
| 2 | 2023 | 42 | |
| 3 | 2017 | 27 | |
| 4 | 2021 | 26 | |
| 5 | 2013 | 20 | |
| 6 | 2008 | 19 | |
| 7 | 2018 | 14 | |
| 8 | 2018 | 12 | |
| 9 | 2009 | 12 | |
| 10 | 2015 | 12 | |
| 11 | 2021 | 11 | |
| 12 | 2022 | 10 | |
| 13 | Musical Genres: Beating to the Rhythms of Different Drums | 2016 | 8 |
| 14 | 2019 | 7 | |
| 15 | 2008 | 6 | |
| 16 | 2022 | 5 | |
| 17 | 2022 | 5 | |
| 18 | 2021 | 4 | |
| 19 | Similarity graph: visual exploration of song collections | 2015 | 4 |
| 20 | 2008 | 4 |
About Débora Corrêa
Débora Corrêa is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Cognitive Neuroscience and Economics and Econometrics, having authored 42 papers that have together received 347 indexed citations. Recurring topics across this work include Music and Audio Processing (12 papers), Music Technology and Sound Studies (11 papers), Neural Networks and Applications (8 papers), Neural dynamics and brain function (7 papers), Complex Systems and Time Series Analysis (7 papers), Neuroscience and Music Perception (6 papers), Neural Networks and Reservoir Computing (6 papers) and Chaos control and synchronization (5 papers). The work is most often cited by research in Signal Processing (124 citations), Computer Vision and Pattern Recognition (121 citations), Statistical and Nonlinear Physics (48 citations), Cognitive Neuroscience (69 citations) and Artificial Intelligence (92 citations). Débora Corrêa has collaborated with scholars based in Australia, Brazil and China. Frequent co-authors include Francisco A. Rodrigues, Michael Small, David M. Walker, Alexandre L. M. Levada, Thomas Stemler, Luís Gustavo Nonato, Rodrigo Fernandes de Mello, John Duncan, Sally Thompson and Liang Zhao. Their work appears in journals such as Chaos An Interdisciplinary Journal of Nonlinear Science, Expert Systems with Applications, Journal of New Music Research, Environmental Research Letters and IEEE Transactions on Network Science and Engineering.
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.