José Manuel Pardo

83 papers receiving 1.0k citations

Peers

José Manuel Pardo
Comparison fields: 5 of 98
  • Artificial Intelligence 599
  • Signal Processing 393
  • Computer Vision and Pattern Recognition 286
  • Human-Computer Interaction 165
  • Cognitive Neuroscience 150
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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 of co-authors of José Manuel Pardo

This figure shows the co-authorship network connecting the top 25 collaborators of José Manuel Pardo. A scholar is included among the top collaborators of José Manuel Pardo 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 José Manuel Pardo. José Manuel Pardo 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
#WorkIndexed citations
1 1
2 9
3 122
4
ASLP-MULAN: Audio speech and language processing for multimedia analytics
2
5 25
6 25
7
New experiments on speaker diarization for unsupervised speaking style voice building for speech synthesis
1
8 2
9 22
10
Automatic Method to Segment the Liver on Multi-Phase MRI
11
11
Utilización de medidas de confianza en sistemas de comprensión del habla
0
12
New advances in cross-task and speaker adaptation for air traffic control tasks
3
13 10
14
Semi-Automatic Generation of Dialogue Applications in the GEMINI Project
11
15
Tecnología del habla: debate sobre retos pendientes y perspectivas
0
16 26
17 1
18 2
19
Desarrollo de corpus para investigacion en tecnologias del habla
0
20
Desarrollo de corpus para investigación en tecnologías del habla (Albayzin)
3

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) and Speech and dialogue systems (24 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. Their work appears in journals such as IEEE Transactions on Power Electronics, Expert Systems with Applications and IEEE Transactions on Computers.

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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