Nicolás Sáenz-Lechón
- Physiology top 5%
- Artificial Intelligence top 2%
- Signal Processing top 2%
- Experimental and Cognitive Psychology top 5%
- Speech and Hearing top 5%
- Co-authors
- Víctor Osma-RuizJuan Ignacio Godino-LlorentePedro Gómez‐VildaJulián D. Arias-LondoñoRubén FraileG. Castellanos-DomínguezFernando Cruz–RoldánManuel Blanco–Velasco
- Topics
- Voice and Speech Disorders (19 papers)Speech Recognition and Synthesis (18 papers)Speech and Audio Processing (12 papers)
In The Last Decade
Nicolás Sáenz-Lechón
36 papers receiving 804 citations
Peers
Comparison fields: 5 of 82
- Physiology 594
- Artificial Intelligence 536
- Signal Processing 427
- Experimental and Cognitive Psychology 167
- Speech and Hearing 100
Countries citing papers authored by Nicolás Sáenz-Lechón
This map shows the geographic impact of Nicolás Sáenz-Lechón'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 Nicolás Sáenz-Lechón with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicolás Sáenz-Lechón more than expected).
Fields of papers citing papers by Nicolás Sáenz-Lechón
This network shows the impact of papers produced by Nicolás Sáenz-Lechón. 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 Nicolás Sáenz-Lechón. The network helps show where Nicolás Sáenz-Lechón may publish in the future.
Co-authorship network of co-authors of Nicolás Sáenz-Lechón
This figure shows the co-authorship network connecting the top 25 collaborators of Nicolás Sáenz-Lechón. A scholar is included among the top collaborators of Nicolás Sáenz-Lechón 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 Nicolás Sáenz-Lechón. Nicolás Sáenz-Lechón is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 6 | |
| 3 | PAST AND FUTURE OF GAMIFICATION IN THE LEARNING OF ENGLISH AS A FOREIGN LANGUAGE | 1 |
| 4 | 18 | |
| 5 | 4 | |
| 6 | 16 | |
| 7 | Fully-automatic glottis segmentation with active shape models. | 5 |
| 8 | 11 | |
| 9 | 5 | |
| 10 | 120 | |
| 11 | Advanced preprocessing of larynx images to improve the segmentation of glottal area. | 0 |
| 12 | 69 | |
| 13 | 10 | |
| 14 | 48 | |
| 15 | 37 | |
| 16 | 16 | |
| 17 | Automatic detection of voice impairments from text-dependent running speech using a discriminative approach. | 3 |
| 18 | 62 | |
| 19 | 41 | |
| 20 | A methodology to evaluate pathological voice detection systems. | 2 |
About Nicolás Sáenz-Lechón
Nicolás Sáenz-Lechón is a scholar working on Signal Processing, Physiology and Artificial Intelligence, having authored 39 papers that have together received 879 indexed citations. Recurring topics across this work include Voice and Speech Disorders (19 papers), Speech Recognition and Synthesis (18 papers) and Speech and Audio Processing (12 papers). The work is most often cited by research in Signal Processing (427 citations), Physiology (594 citations) and Artificial Intelligence (536 citations). Nicolás Sáenz-Lechón has collaborated with scholars based in Spain, Colombia and France. Frequent co-authors include Víctor Osma-Ruiz, Juan Ignacio Godino-Llorente, Pedro Gómez‐Vilda, Julián D. Arias-Londoño, Rubén Fraile, G. Castellanos-Domínguez, Fernando Cruz–Roldán, Manuel Blanco–Velasco, Juana M. Gutiérrez-Arriola and Corinne Fredouille. Their work appears in journals such as IEEE Access, IEEE Transactions on Biomedical Engineering and Pattern Recognition.
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.