Hélène Papadopoulos
- Signal Processing top 5%
- Computer Vision and Pattern Recognition top 10%
- Cognitive Neuroscience
- Artificial Intelligence
- Music
- Co-authors
- Geoffroy PeetersGeorge TzanetakisDiomidis SpinellisGaël RichardM.E.J. O’KellyCathal HeaveyMatthieu Kowalski
- Topics
- Music and Audio Processing (8 papers)Speech and Audio Processing (6 papers)Music Technology and Sound Studies (5 papers)
- Journals
- IEEE Transactions on Audio Speech and Language ProcessingIEEE/ACM Transactions on Audio Speech and Language ProcessingINRIA a CCSD electronic archive server
In The Last Decade
Hélène Papadopoulos
10 papers receiving 128 citations
Peers
Comparison fields: 5 of 18
- Signal Processing 121
- Computer Vision and Pattern Recognition 98
- Cognitive Neuroscience 32
- Artificial Intelligence 17
- Music 5
Countries citing papers authored by Hélène Papadopoulos
This map shows the geographic impact of Hélène Papadopoulos'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 Hélène Papadopoulos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hélène Papadopoulos more than expected).
Fields of papers citing papers by Hélène Papadopoulos
This network shows the impact of papers produced by Hélène Papadopoulos. 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 Hélène Papadopoulos. The network helps show where Hélène Papadopoulos may publish in the future.
Co-authorship network of co-authors of Hélène Papadopoulos
This figure shows the co-authorship network connecting the top 25 collaborators of Hélène Papadopoulos. A scholar is included among the top collaborators of Hélène Papadopoulos 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 Hélène Papadopoulos. Hélène Papadopoulos is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 5 | |
| 3 | The throughput rate of multistation reliable production lines | 3 |
| 4 | Production line buffer allocation : Genetic algorithms versus simulated annealing | 2 |
| 5 | 5 | |
| 6 | 18 | |
| 7 | 35 | |
| 8 | 31 | |
| 9 | CHORD ESTIMATION USING CHORD TEMPLATES AND HMM | 2 |
| 10 | 24 |
About Hélène Papadopoulos
Hélène Papadopoulos is a scholar working on Signal Processing, Developmental Biology and Computer Vision and Pattern Recognition, having authored 10 papers that have together received 130 indexed citations. Recurring topics across this work include Music and Audio Processing (8 papers), Speech and Audio Processing (6 papers) and Music Technology and Sound Studies (5 papers). The work is most often cited by research in Signal Processing (121 citations), Computer Vision and Pattern Recognition (98 citations) and Cognitive Neuroscience (32 citations). Hélène Papadopoulos has collaborated with scholars based in France, Canada and Greece. Frequent co-authors include Geoffroy Peeters, George Tzanetakis, Diomidis Spinellis, Gaël Richard, M.E.J. O’Kelly, Cathal Heavey and Matthieu Kowalski. Their work appears in journals such as IEEE Transactions on Audio Speech and Language Processing, IEEE/ACM Transactions on Audio Speech and Language Processing and INRIA a CCSD electronic archive server.
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.