V. Rodellar
Impact in
- Signal Processing top 5%
- Speech and Audio Processing
- Music and Audio Processing
- Physiology top 10%
- Voice and Speech Disorders
Papers in
-
- Speech and Audio Processing 36
- Digital Filter Design and Implementation 6
-
- Speech Recognition and Synthesis 34
- Neural Networks and Applications 8
- Co-authors
- Pedro Gómez‐Vilda (46 shared papers)Agustín Álvarez-Marquina (51 shared papers)R. Martínez (33 shared papers)Daniel Palacios‐Alonso (16 shared papers)P. Olmos (3 shared papers)J.M. Pérez (3 shared papers)José Manuel Ferrández (11 shared papers)Germà García-Belmonte (2 shared papers)
- Journals
- Neurocomputing (6 papers)IEEE Transactions on Nuclear Science (2 papers)Biomedical Signal Processing and Control (2 papers)Neural Computing and Applications (2 papers)Cognitive Computation (1 paper)
- Partner nations
- SpainUnited StatesCzechia
In The Last Decade
V. Rodellar
87 papers receiving 579 citations
Peers
Comparison fields: 5 of 78
- Signal Processing 207
- Physiology 251
- Speech and Hearing 61
- Artificial Intelligence 267
- Experimental and Cognitive Psychology 109
Countries citing papers authored by V. Rodellar
This map shows the geographic impact of V. Rodellar'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 V. Rodellar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites V. Rodellar more than expected).
Fields of papers citing papers by V. Rodellar
This network shows the impact of papers produced by V. Rodellar. 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 V. Rodellar. The network helps show where V. Rodellar may publish in the future.
Co-authors
The 25 scholars most cited alongside V. Rodellar, 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 99 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 65 | |
| 2 | 1991 | 53 | |
| 3 | 2017 | 44 | |
| 4 | 2006 | 40 | |
| 5 | 1992 | 39 | |
| 6 | 2019 | 20 | |
| 7 | 2013 | 20 | |
| 8 | 2018 | 15 | |
| 9 | 2017 | 15 | |
| 10 | 1994 | 13 | |
| 11 | 2004 | 13 | |
| 12 | 2005 | 13 | |
| 13 | 2014 | 12 | |
| 14 | 2015 | 11 | |
| 15 | 2022 | 10 | |
| 16 | 2004 | 10 | |
| 17 | 2008 | 10 | |
| 18 | BioMet®Phon: A system to monitor phonation quality in the clinics | 2013 | 9 |
| 19 | 2008 | 9 | |
| 20 | 1998 | 9 |
About V. Rodellar
V. Rodellar is a scholar working on Signal Processing, Artificial Intelligence, Physiology, Experimental and Cognitive Psychology and Computational Mechanics, having authored 99 papers that have together received 616 indexed citations. Recurring topics across this work include Speech and Audio Processing (36 papers), Speech Recognition and Synthesis (34 papers), Voice and Speech Disorders (30 papers), Advanced Adaptive Filtering Techniques (18 papers), Phonetics and Phonology Research (17 papers), Neural Networks and Applications (8 papers), Dysphagia Assessment and Management (7 papers) and Digital Filter Design and Implementation (6 papers). The work is most often cited by research in Signal Processing (207 citations), Physiology (251 citations), Speech and Hearing (61 citations), Artificial Intelligence (267 citations) and Experimental and Cognitive Psychology (109 citations). V. Rodellar has collaborated with scholars based in Spain, United States and Czechia. Frequent co-authors include Pedro Gómez‐Vilda, Agustín Álvarez-Marquina, R. Martínez, Daniel Palacios‐Alonso, P. Olmos, J.M. Pérez, José Manuel Ferrández, Germà García-Belmonte, Francisco Díaz and Jiří Mekyska. Their work appears in journals such as Neurocomputing, IEEE Transactions on Nuclear Science, Biomedical Signal Processing and Control, Neural Computing and Applications and Cognitive Computation.
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.