Marc Arnela
Impact in
- Signal Processing top 5%
- Speech and Audio Processing
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- Phonetics and Phonology Research
Papers in
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- Speech and Audio Processing 20
- Music and Audio Processing 6
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- Phonetics and Phonology Research 11
- Co-authors
- Oriol GuaschOlov EngwallAnnemie van HirtumFrancesc ÁlíasXavier PelorsonRamón CodinaRafael LaboissièreRosa Ma Alsina‐Pagès
In The Last Decade
Marc Arnela
42 papers receiving 457 citations
Peers
Comparison fields: 5 of 50
- Signal Processing 199
- Experimental and Cognitive Psychology 117
- Biomedical Engineering 232
- Artificial Intelligence 156
- Aerospace Engineering 120
Countries citing papers authored by Marc Arnela
This map shows the geographic impact of Marc Arnela'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 Marc Arnela with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Arnela more than expected).
Fields of papers citing papers by Marc Arnela
This network shows the impact of papers produced by Marc Arnela. 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 Marc Arnela. The network helps show where Marc Arnela may publish in the future.
Co-authorship network
The 17 scholars most cited alongside Marc Arnela, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 5 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 3 | |
| 9 | 2024 | 0 | |
| 10 | 2024 | 1 | |
| 11 | 2023 | 21 | |
| 12 | 2021 | 6 | |
| 13 | 2021 | 2 | |
| 14 | 2020 | 3 | |
| 15 | 2019 | 9 | |
| 16 | 2017 | 2 | |
| 17 | 2015 | 22 | |
| 18 | Effects of vocal tract geometry simplifications on the numerical simulation of vowels | 2015 | 1 |
| 19 | Stabilized finite element formulation for the mixed convected wave equation in domains with driven flexible boundaries | 2015 | 1 |
| 20 | Finite element computation of diphthong sounds using tuned two-dimensional vocal tracts | 2014 | 3 |
About Marc Arnela
Marc Arnela is a scholar working on Signal Processing, Experimental and Cognitive Psychology, Computer Vision and Pattern Recognition, Biomedical Engineering and Artificial Intelligence, having authored 49 papers that have together received 472 indexed citations. Recurring topics across this work include Acoustic Wave Phenomena Research (23 papers), Speech and Audio Processing (20 papers), Speech Recognition and Synthesis (15 papers), Music Technology and Sound Studies (11 papers), Phonetics and Phonology Research (11 papers), Voice and Speech Disorders (8 papers), Music and Audio Processing (6 papers) and Ultrasonics and Acoustic Wave Propagation (4 papers). The work is most often cited by research in Signal Processing (199 citations), Experimental and Cognitive Psychology (117 citations), Biomedical Engineering (232 citations), Artificial Intelligence (156 citations) and Aerospace Engineering (120 citations). Marc Arnela has collaborated with scholars based in Spain, Sweden and France. Frequent co-authors include Oriol Guasch, Olov Engwall, Annemie van Hirtum, Francesc Álías, Xavier Pelorson, Ramón Codina, Rafael Laboissière, Rosa Ma Alsina‐Pagès, Joan Claudi Socoró and Joan Bestard Camps. Their work appears in journals such as The Journal of the Acoustical Society of America, Applied Acoustics, International Journal for Numerical Methods in Biomedical Engineering, IEEE/ACM Transactions on Audio Speech and Language Processing and Journal of Sound and Vibration.
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.