David Griol

2.5k total citations
96 papers, 1.1k citations indexed

About

David Griol is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, David Griol has authored 96 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 11 papers in Information Systems. Recurrent topics in David Griol's work include Speech and dialogue systems (59 papers), Multi-Agent Systems and Negotiation (25 papers) and Natural Language Processing Techniques (22 papers). David Griol is often cited by papers focused on Speech and dialogue systems (59 papers), Multi-Agent Systems and Negotiation (25 papers) and Natural Language Processing Techniques (22 papers). David Griol collaborates with scholars based in Spain, Italy and United Kingdom. David Griol's co-authors include Zoraida Callejas, Michael McTear, José M. Molina, Ramón López-Cózar, Javier Carbó, Fernando Fernández-Martínez, Cristina Luna-Jiménez, Juan Manuel Montero, Encarna Segarra and Emilio Sanchís and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and Neurocomputing.

In The Last Decade

David Griol

85 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David Griol Spain 17 705 194 185 118 115 96 1.1k
Zoraida Callejas Spain 19 743 1.1× 255 1.3× 235 1.3× 140 1.2× 109 0.9× 97 1.3k
Cecilia Ovesdotter Alm United States 14 703 1.0× 231 1.2× 216 1.2× 184 1.6× 123 1.1× 90 1.2k
Berardina De Carolis Italy 17 390 0.6× 150 0.8× 384 2.1× 248 2.1× 122 1.1× 112 1.1k
Kenji Sagae United States 27 1.9k 2.6× 212 1.1× 151 0.8× 190 1.6× 125 1.1× 96 2.3k
Gokul Chittaranjan Switzerland 7 217 0.3× 275 1.4× 121 0.7× 113 1.0× 72 0.6× 11 913
Mariët Theune Netherlands 19 950 1.3× 174 0.9× 200 1.1× 162 1.4× 85 0.7× 122 1.3k
Eva Hudlická United States 16 455 0.6× 300 1.5× 378 2.0× 96 0.8× 54 0.5× 50 1.0k
Matthew Purver United Kingdom 22 1.2k 1.7× 386 2.0× 210 1.1× 88 0.7× 98 0.9× 126 1.8k
Taemie Kim United States 15 217 0.3× 119 0.6× 398 2.2× 175 1.5× 85 0.7× 20 1.2k
Fiorella de Rosis Italy 18 474 0.7× 119 0.6× 345 1.9× 103 0.9× 81 0.7× 48 864

Countries citing papers authored by David Griol

Since Specialization
Citations

This map shows the geographic impact of David Griol'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 David Griol with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Griol more than expected).

Fields of papers citing papers by David Griol

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Griol. 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 David Griol. The network helps show where David Griol may publish in the future.

Co-authorship network of co-authors of David Griol

This figure shows the co-authorship network connecting the top 25 collaborators of David Griol. A scholar is included among the top collaborators of David Griol 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 David Griol. David Griol is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kraus, Matthias, et al.. (2025). A Survey on Multi-User Conversational Interfaces. Applied Sciences. 15(13). 7267–7267.
2.
Griol, David, et al.. (2024). Deep Speech Synthesis and Its Implications for News Verification: Lessons Learned in the RTVE-UGR Chair. Applied Sciences. 14(21). 9916–9916.
3.
Griol, David, et al.. (2024). Soft sensors based on interpretable learners for industrial-scale fed-batch fermentation: Learning from simulations. Computers & Chemical Engineering. 187. 108736–108736. 4 indexed citations
4.
Callejas, Zoraida, et al.. (2024). Incorporating evidence into mental health Q&A: a novel method to use generative language models for validated clinical content extraction. Behaviour and Information Technology. 44(10). 2333–2350. 3 indexed citations
5.
Griol, David, et al.. (2024). Blockchain self-update smart contract for supply chain traceability with data validation. Logic Journal of IGPL. 33(5).
7.
Armengol-Estapé, Jordi, et al.. (2023). esCorpius-m: A Massive Multilingual Crawling Corpus with a Focus on Spanish. Applied Sciences. 13(22). 12155–12155. 1 indexed citations
8.
Suárez, Carlos Antonio Escobar, et al.. (2022). RustOnt: An Ontology to Explain Weather Favorable Conditions of the Coffee Rust. Sensors. 22(24). 9598–9598. 3 indexed citations
9.
Fernández-Martínez, Fernando, et al.. (2022). Fine-Tuning BERT Models for Intent Recognition Using a Frequency Cut-Off Strategy for Domain-Specific Vocabulary Extension. Applied Sciences. 12(3). 1610–1610. 10 indexed citations
10.
Luna-Jiménez, Cristina, et al.. (2021). A Proposal for Multimodal Emotion Recognition Using Aural Transformers and Action Units on RAVDESS Dataset. Applied Sciences. 12(1). 327–327. 63 indexed citations
11.
Luna-Jiménez, Cristina, et al.. (2021). Multimodal Emotion Recognition on RAVDESS Dataset Using Transfer Learning. Sensors. 21(22). 7665–7665. 80 indexed citations
12.
Torres, M. Inés, Anna Esposito, Zoraida Callejas, et al.. (2020). Measuring and fostering engagement with mental health e-coaches. SPIRE - Sciences Po Institutional REpository. 1 indexed citations
13.
Callejas, Zoraida, et al.. (2017). La deserción estudiantil en educación superior: S.O.S. en carreras de ingeniería informática. 2 indexed citations
14.
Griol, David, José M. Molina, & Jesús Garcı́a. (2015). Fusion of sentiment analysis and emotion recognition to model the user's emotional state. International Conference on Information Fusion. 814–822.
15.
Callejas, Zoraida, David Griol, Klaus-Peter Engelbrecht, & Ramón López-Cózar. (2012). A Clustering Approach to Assess Real User Profiles in Spoken Dialogue Systems.. 327–334. 1 indexed citations
16.
Griol, David, Zoraida Callejas, & Ramón López-Cózar. (2011). Utilización de los Mundos Virtuales para el Desarrollo de Aplicaciones Educativas. POLI-RED (Revistas Digitales Politécnicas) (La Universidad Politécnica de Madrid). 5(1). 1 indexed citations
17.
López-Cózar, Ramón, Jan Silovský, & David Griol. (2010). $F^2$ - New Technique for Recognition of User Emotional States in Spoken Dialogue Systems. Annual Meeting of the Special Interest Group on Discourse and Dialogue. 52(46). 281–288. 4 indexed citations
18.
Griol, David, et al.. (2010). ORIENTA: Un proyecto multidisciplinar e interuniversitario para la tutorización personalizada. POLI-RED (Revistas Digitales Politécnicas) (La Universidad Politécnica de Madrid). 4(3). 1 indexed citations
19.
Griol, David, Zoraida Callejas, & Ramón López-Cózar. (2010). Statistical Dialog Management Methodologies for Real Applications. Annual Meeting of the Special Interest Group on Discourse and Dialogue. 269–272. 3 indexed citations
20.
Griol, David, Jesús Garcı́a, Zoraida Callejas, & Ramón López-Cózar. (2010). EducAgent: Agentes Virtuales para el Proceso de Enseñanza-Aprendizaje en Competencias. POLI-RED (Revistas Digitales Politécnicas) (La Universidad Politécnica de Madrid). 4(3).

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.

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