José Manuel Pardo

1.8k citations
92 papers · 1.2k indexed · h-index 17

José Manuel Pardo

83 papers receiving 1.0k citations

Peers

José Manuel Pardo
Comparison fields: 5 of 98
  • Signal Processing 393
  • Human-Computer Interaction 165
  • Artificial Intelligence 599
  • Computer Vision and Pattern Recognition 286
  • Developmental and Educational Psychology 105
Replace Mohamed A. Bencherif with:
Mohamed A. Bencherif Saudi Arabia
Stylianos Asteriadis Netherlands
Gerasimos Potamianos United States
Izhak Shafran United States
Stephen Cox United Kingdom
A. Garg United States
Diego R. Faria United Kingdom
Uma Shanker Tiwary India
Thomas Hueber France
Yousef Ajami Alotaibi Saudi Arabia
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Citations per field
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Citations per year

Countries citing papers authored by José Manuel Pardo

Since Specialization
Citations

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

Fields of papers citing papers by José Manuel Pardo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by José Manuel Pardo. 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 José Manuel Pardo. The network helps show where José Manuel Pardo may publish in the future.

Co-authorship network

The 25 scholars most cited alongside José Manuel Pardo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with José Manuel Pardo Line = papers co-authored together José Manuel Pardo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20211
2 20209
3 2019122
4
ASLP-MULAN: Audio speech and language processing for multimedia analytics
20162
5 201625
6 201625
7
New experiments on speaker diarization for unsupervised speaking style voice building for speech synthesis
20141
8 20092
9 200922
10
Automatic Method to Segment the Liver on Multi-Phase MRI
200811
11
Utilización de medidas de confianza en sistemas de comprensión del habla
20050
12
New advances in cross-task and speaker adaptation for air traffic control tasks
20053
13 200510
14
Semi-Automatic Generation of Dialogue Applications in the GEMINI Project
200411
15
Tecnología del habla: debate sobre retos pendientes y perspectivas
20040
16 200226
17 19951
18 19942
19
Desarrollo de corpus para investigacion en tecnologias del habla
19920
20
Desarrollo de corpus para investigación en tecnologías del habla (Albayzin)
19923

About José Manuel Pardo

José Manuel Pardo is a scholar working on Signal Processing, Artificial Intelligence and Human-Computer Interaction, having authored 92 papers that have together received 1.2k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (45 papers), Speech and Audio Processing (27 papers), Speech and dialogue systems (24 papers), Music and Audio Processing (21 papers), Natural Language Processing Techniques (20 papers), Hand Gesture Recognition Systems (8 papers), Multi-Agent Systems and Negotiation (7 papers) and Context-Aware Activity Recognition Systems (6 papers). The work is most often cited by research in Signal Processing (393 citations), Human-Computer Interaction (165 citations) and Artificial Intelligence (599 citations). José Manuel Pardo has collaborated with scholars based in Spain, United States and Colombia. Frequent co-authors include Rubén San-Segundo, Juan Manuel Montero, Chuck Wooters, Luis Fernando D’Haro, Xavier Anguera, Javier Ferreiros, Ricardo de Córdoba, Roberto Barra-Chicote, Manuel Gil-Martín and Fernando Fernández-Martínez.

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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