Eva Navas
Impact in
- Signal Processing top 1%
- Speech and Audio Processing
- Music and Audio Processing
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- Emotion and Mood Recognition
- Phonetics and Phonology Research
Papers in
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- Speech and Audio Processing 53
- Music and Audio Processing 29
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- Speech Recognition and Synthesis 73
- Natural Language Processing Techniques 22
- Speech and dialogue systems 14
- Co-authors
- Inma Hernáez (95 shared papers)Iker Luengo (21 shared papers)Daniel Erro (36 shared papers)Jon Sánchez (33 shared papers)Ibon Saratxaga (39 shared papers)Tuomo Raitio (1 shared paper)Luís Serrano (13 shared papers)Zhizheng Wu (1 shared paper)
In The Last Decade
Eva Navas
94 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 69
- Signal Processing 836
- Experimental and Cognitive Psychology 435
- Artificial Intelligence 842
- Pharmacy 65
- Computer Vision and Pattern Recognition 159
Countries citing papers authored by Eva Navas
This map shows the geographic impact of Eva Navas'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 Eva Navas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Navas more than expected).
Fields of papers citing papers by Eva Navas
This network shows the impact of papers produced by Eva Navas. 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 Eva Navas. The network helps show where Eva Navas may publish in the future.
Co-authors
The 25 scholars most cited alongside Eva Navas, 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 109 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 135 | |
| 2 | 2005 | 118 | |
| 3 | 2013 | 88 | |
| 4 | 2015 | 72 | |
| 5 | 2006 | 67 | |
| 6 | 2012 | 57 | |
| 7 | 2011 | 47 | |
| 8 | 2009 | 39 | |
| 9 | 2016 | 37 | |
| 10 | 2004 | 33 | |
| 11 | 2009 | 22 | |
| 12 | 2010 | 21 | |
| 13 | 2012 | 21 | |
| 14 | 2009 | 20 | |
| 15 | 2007 | 20 | |
| 16 | 2006 | 20 | |
| 17 | 2015 | 19 | |
| 18 | 2009 | 18 | |
| 19 | 2015 | 16 | |
| 20 | 2017 | 13 |
About Eva Navas
Eva Navas is a scholar working on Signal Processing, Artificial Intelligence, Experimental and Cognitive Psychology, Cultural Studies and Physiology, having authored 109 papers that have together received 1.2k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (73 papers), Speech and Audio Processing (53 papers), Music and Audio Processing (29 papers), Natural Language Processing Techniques (22 papers), Phonetics and Phonology Research (21 papers), Speech and dialogue systems (14 papers), Emotion and Mood Recognition (11 papers) and Voice and Speech Disorders (10 papers). The work is most often cited by research in Signal Processing (836 citations), Experimental and Cognitive Psychology (435 citations), Artificial Intelligence (842 citations), Pharmacy (65 citations) and Computer Vision and Pattern Recognition (159 citations). Eva Navas has collaborated with scholars based in Spain, France and Belgium. Frequent co-authors include Inma Hernáez, Iker Luengo, Daniel Erro, Jon Sánchez, Ibon Saratxaga, Tuomo Raitio, Luís Serrano, Zhizheng Wu, Juan Manuel Dodero and J. G. Contreras. Their work appears in journals such as Language Resources and Evaluation, Applied Sciences, Computer Speech & Language, IEEE Transactions on Audio Speech and Language Processing and Electronics Letters.
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.