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).
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-authorship network of co-authors of Eva Navas
This figure shows the co-authorship network connecting the top 25 collaborators of Eva Navas.
A scholar is included among the top collaborators of Eva Navas 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 Eva Navas. Eva Navas is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Navas, Eva, et al.. (2016). A Singing Voice Database in Basque for Statistical Singing Synthesis of Bertsolaritza. Language Resources and Evaluation. 756–759.3 indexed citations
4.
Hernáez, Inma, et al.. (2014). Basque Speecon-like and Basque SpeechDat MDB-600: speech databases for the development of ASR technology for Basque. Language Resources and Evaluation. 2658–2665.4 indexed citations
5.
Navas, Eva, et al.. (2012). Using an ASR database to design a pronunciation evaluation system in Basque. Language Resources and Evaluation. 4122–4126.3 indexed citations
6.
Navas, Eva, et al.. (2012). Strategies to Improve a Speaker Diarisation Tool. Language Resources and Evaluation. 4117–4121.1 indexed citations
7.
Segura, Jordi Adell, Antonio Bonafonte, Marta R. Costa‐jussà, et al.. (2012). BUCEADOR, a multi-language search engine for digital libraries. Language Resources and Evaluation. 1705–1709.3 indexed citations
8.
Erro, Daniel, et al.. (2012). Versatile Speech Databases for High Quality Synthesis for Basque. Language Resources and Evaluation. 3308–3312.7 indexed citations
Luengo, Iker, et al.. (2010). Modified LTSE-VAD Algorithm for Applications Requiring Reduced Silence Frame Misclassification.. Language Resources and Evaluation.3 indexed citations
11.
Navas, Eva, et al.. (2010). TTS evaluation campaign with a common spanish database. Language Resources and Evaluation. 2155–2160.1 indexed citations
12.
Navas, Eva, et al.. (2009). Detección de vocales mediante modelado de clusters de fonemas. Procesamiento del lenguaje natural. 43(43). 121–128.1 indexed citations
Saratxaga, Ibon, et al.. (2008). Subjective evaluation of an emotional speech database for Basque. Language Resources and Evaluation.9 indexed citations
15.
Luengo, Iker, et al.. (2008). Text Independent Speaker Identification in Multilingual Environments. Language Resources and Evaluation.4 indexed citations
16.
Saratxaga, Ibon, et al.. (2006). Designing and Recording an Emotional Speech Database for Corpus Based Synthesis in Basque.. Language Resources and Evaluation. 2126–2129.18 indexed citations
17.
Saratxaga, Ibon, Eva Navas, Inma Hernáez, & Jon Sánchez. (2006). Korpusean oinarritutako sintesirako euskarazko datu base emoziodun baten diseinu et grabaketa. 173–178.1 indexed citations
18.
Hernáez, Inma, et al.. (2003). Euskararako SAMPA kodeaz. 171–177.
19.
Hernáez, Inma, et al.. (2002). BIZKAIFON: A sound archive of dialectal varieties of spoken Basque. Language Resources and Evaluation.2 indexed citations
20.
Hernáez, Inma, et al.. (2001). Description of the AhoTTS system for the Basque language.. SSW. 202.10 indexed citations
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.