Luis A. Hernández Gómez

1.4k total citations
66 papers, 576 citations indexed

About

Luis A. Hernández Gómez is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Luis A. Hernández Gómez has authored 66 papers receiving a total of 576 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Artificial Intelligence, 27 papers in Signal Processing and 21 papers in Computer Vision and Pattern Recognition. Recurrent topics in Luis A. Hernández Gómez's work include Speech Recognition and Synthesis (27 papers), Speech and Audio Processing (21 papers) and Advanced Data Compression Techniques (13 papers). Luis A. Hernández Gómez is often cited by papers focused on Speech Recognition and Synthesis (27 papers), Speech and Audio Processing (21 papers) and Advanced Data Compression Techniques (13 papers). Luis A. Hernández Gómez collaborates with scholars based in Spain, France and United States. Luis A. Hernández Gómez's co-authors include Doroteo T. Toledano, Rubén Fernández Pozo, Sara Hernández, Jesús Bernat Vercher, Xuetian Wang, Joaquín González-Rodríguez, Hongmin Gao, J.M. Llamas Elvira, Jose Hernández‐Muñoz and Guillermo Machuca‐Portillo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and Biotechnology and Bioengineering.

In The Last Decade

Luis A. Hernández Gómez

59 papers receiving 539 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Luis A. Hernández Gómez Spain 14 274 252 161 92 65 66 576
Vedhas Pandit Germany 9 118 0.4× 340 1.3× 78 0.5× 185 2.0× 157 2.4× 16 618
Xingjun Wang China 12 62 0.2× 45 0.2× 72 0.4× 116 1.3× 41 0.6× 83 403
Ritu Sindhu India 11 161 0.6× 152 0.6× 133 0.8× 48 0.5× 27 0.4× 28 458
Michael Pucher Austria 12 409 1.5× 407 1.6× 30 0.2× 87 0.9× 65 1.0× 40 576
Vivek Tyagi United States 9 423 1.5× 391 1.6× 27 0.2× 98 1.1× 94 1.4× 28 704
Mustafa Sert Türkiye 12 90 0.3× 123 0.5× 21 0.1× 131 1.4× 21 0.3× 53 314
Michela Papandrea Switzerland 9 32 0.1× 31 0.1× 78 0.5× 81 0.9× 71 1.1× 28 438
Ralf Seepold Germany 14 22 0.1× 29 0.1× 80 0.5× 54 0.6× 124 1.9× 89 598
Abdullah Çavuşoğlu Türkiye 10 49 0.2× 94 0.4× 22 0.1× 47 0.5× 55 0.8× 28 454
Norihide Kitaoka Japan 17 547 2.0× 445 1.8× 21 0.1× 176 1.9× 105 1.6× 165 987

Countries citing papers authored by Luis A. Hernández Gómez

Since Specialization
Citations

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

Fields of papers citing papers by Luis A. Hernández Gómez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Luis A. Hernández Gómez. 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 Luis A. Hernández Gómez. The network helps show where Luis A. Hernández Gómez may publish in the future.

Co-authorship network of co-authors of Luis A. Hernández Gómez

This figure shows the co-authorship network connecting the top 25 collaborators of Luis A. Hernández Gómez. A scholar is included among the top collaborators of Luis A. Hernández Gómez 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 Luis A. Hernández Gómez. Luis A. Hernández Gómez 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.
Gómez, Luis A. Hernández, et al.. (2023). Use of semi-synthetic data for catheter segmentation improvement. Computerized Medical Imaging and Graphics. 106. 102188–102188. 4 indexed citations
2.
Hernández, Sara, Rubén Fernández Pozo, & Luis A. Hernández Gómez. (2020). Driver Identification and Verification From Smartphone Accelerometers Using Deep Neural Networks. IEEE Transactions on Intelligent Transportation Systems. 23(1). 97–109. 26 indexed citations
3.
Toledano, Doroteo T., Alfonso Ortega, A. Teixeira, et al.. (2012). Advances in Speech and Language Technologies for Iberian Languages: IberSPEECH 2012 Conference, Madrid, Spain, November 21-23, 2012. Proceedings. CERN Document Server (European Organization for Nuclear Research). 4 indexed citations
4.
Pozo, Rubén Fernández, et al.. (2011). Exploring differences between phonetic classes in Sleep Apnoea Syndrome Patients using automatic speech processing techniques. Biotechnology and Bioengineering. 113(12). 2652–2660. 3 indexed citations
5.
Vercher, Jesús Bernat, et al.. (2011). An experimental platform for large-scale research facing FI-IoT scenarios. Future Network & Mobile Summit. 1–8. 3 indexed citations
6.
Pozo, Rubén Fernández, et al.. (2009). Assessment of Severe Apnoea through Voice Analysis, Automatic Speech, and Speaker Recognition Techniques. EURASIP Journal on Advances in Signal Processing. 2009(1). 34 indexed citations
7.
Toledano, Doroteo T., et al.. (2008). Phoneme and Sub-Phoneme T-Normalization for Text-Dependent Speaker Recognition. Frontiers in Veterinary Science. 10. 29–1202001. 5 indexed citations
8.
Pozo, Rubén Fernández, et al.. (2008). Design of a multimodal database for research on automatic detection of severe apnoea cases. Language Resources and Evaluation. 7 indexed citations
9.
Toledano, Doroteo T., et al.. (2006). Initialization, Training, and Context-Dependency in HMM-Based Formant Tracking. IEEE Transactions on Audio Speech and Language Processing. 14(2). 511–523. 15 indexed citations
10.
Gómez, Luis A. Hernández, et al.. (2005). On the behaviour of reduced complexity code-excited linear prediction (CELP). 11. 469–472.
11.
Toledano, Doroteo T., et al.. (2005). On the relationship between phonetic modeling precision and phonetic speaker recognition accuracy. Biblos-e Archivo (Universidad Autónoma de Madrid). 1993–1996. 3 indexed citations
12.
Gómez, Luis A. Hernández, et al.. (2002). Productos de tecnología del habla para Latinoamérica. 53–72. 1 indexed citations
13.
Toledano, Doroteo T. & Luis A. Hernández Gómez. (2002). HMMs for Automatic Phonetic Segmentation. Language Resources and Evaluation. 4 indexed citations
14.
Charfuelàn, Marcela, et al.. (2002). A XML-based tool for evaluation of SLDS. Language Resources and Evaluation. 3 indexed citations
15.
Gómez, Luis A. Hernández, et al.. (2002). Context-dependent units for vocabulary-independent Spanish speech recognition. 1. 451–454. 3 indexed citations
16.
Gómez, Luis A. Hernández, et al.. (2001). Reconocimiento de voz en el entorno de las nuevas redes de comunicación UMTS e Internet. 99–112.
17.
Charfuelàn, Marcela, et al.. (2000). Dialogue Annotation for Language Systems Evaluation. Language Resources and Evaluation. 2 indexed citations
18.
Gómez, Luis A. Hernández, et al.. (1999). Flexible mixed-initiative dialogue for telephone services.. Conference of the International Speech Communication Association. 3 indexed citations
19.
Gómez, Luis A. Hernández, et al.. (1997). Automatic corpus-based training of rules for prosodic generation in text-to-speech.. Conference of the International Speech Communication Association. 1 indexed citations
20.
Gómez, Luis A. Hernández, et al.. (1995). Automatic data-driven prosodic modeling for text-to-speech.. Conference of the International Speech Communication Association. 5 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.

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