Fernando Fernández-Martínez
- Human-Computer Interaction top 2%
-
- Emotion and Mood Recognition 13
- Signal Processing top 5%
- Speech and Audio Processing 9
- Music and Audio Processing 8
- Artificial Intelligence top 5%
- Speech and dialogue systems 25
- Natural Language Processing Techniques 20
- Speech Recognition and Synthesis 17
- Topic Modeling 9
- Multi-Agent Systems and Negotiation 8
Fernando Fernández-Martínez
69 papers receiving 798 citations
Peers
Comparison fields: 5 of 91
- Human-Computer Interaction 139
- Experimental and Cognitive Psychology 197
- Signal Processing 152
- Computer Vision and Pattern Recognition 249
- Artificial Intelligence 329
Countries citing papers authored by Fernando Fernández-Martínez
This map shows the geographic impact of Fernando Fernández-Martínez'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 Fernando Fernández-Martínez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernando Fernández-Martínez more than expected).
Fields of papers citing papers by Fernando Fernández-Martínez
This network shows the impact of papers produced by Fernando Fernández-Martínez. 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 Fernando Fernández-Martínez. The network helps show where Fernando Fernández-Martínez may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Fernando Fernández-Martínez, 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 | 2024 | 2 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 6 | |
| 6 | 2023 | 5 | |
| 7 | 2023 | 4 | |
| 8 | 2022 | 10 | |
| 9 | 2021 | 13 | |
| 10 | 2021 | 5 | |
| 11 | 2021 | 63 | |
| 12 | 2021 | 80 | |
| 13 | GTH-UPM at DETOXIS-IberLEF 2021: Automatic Detection of Toxic Comments in Social Networks. | 2021 | 2 |
| 14 | Inferencia de la respuesta afectiva de los espectadores de un video | 2019 | 0 |
| 15 | Investigating Verbal Intelligence Using the TF-IDF Approach | 2012 | 1 |
| 16 | Clustering of syntactic and discursive information for the dynamic adaptation of language models | 2010 | 1 |
| 17 | 2009 | 2 | |
| 18 | Managin speaker identity and user profiles in a spoken dialogue system | 2009 | 7 |
| 19 | Spanish Expressive Voices: corpus for emotion research in Spanish | 2008 | 13 |
| 20 | Utilización de medidas de confianza en sistemas de comprensión del habla | 2005 | 0 |
About Fernando Fernández-Martínez
Fernando Fernández-Martínez is a scholar working on Human-Computer Interaction, Signal Processing and Artificial Intelligence, having authored 82 papers that have together received 854 indexed citations. Recurring topics across this work include Speech and dialogue systems (25 papers), Natural Language Processing Techniques (20 papers), Speech Recognition and Synthesis (17 papers), Emotion and Mood Recognition (13 papers), Speech and Audio Processing (9 papers), Topic Modeling (9 papers), Multi-Agent Systems and Negotiation (8 papers) and Music and Audio Processing (8 papers). The work is most often cited by research in Human-Computer Interaction (139 citations), Experimental and Cognitive Psychology (197 citations) and Signal Processing (152 citations). Fernando Fernández-Martínez has collaborated with scholars based in Spain, Germany and Malaysia. Frequent co-authors include Rubén San-Segundo, Juan Manuel Montero, Javier Ferreiros, Cristina Luna-Jiménez, Roberto Barra-Chicote, José Manuel Pardo, Ricardo de Córdoba, Manuel Gil-Martín, Zoraida Callejas and David Griol. Their work appears in journals such as Expert Systems with Applications, Sensors, Applied Sciences, Language Resources and Evaluation and Speech Communication.
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.