Roberto Barra-Chicote

1.3k citations
56 papers · 781 indexed · h-index 13

Roberto Barra-Chicote

53 papers receiving 701 citations

Peers

Roberto Barra-Chicote
Comparison fields: 5 of 73
  • Artificial Intelligence 569
  • Signal Processing 271
  • Human-Computer Interaction 153
  • Computer Vision and Pattern Recognition 147
  • Developmental and Educational Psychology 101
Replace Luis Fernando D’Haro with:
Luis Fernando D’Haro Spain
Ricardo de Córdoba Spain
Javier Ferreiros Spain
Gustav Eje Henter Sweden
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Yousef Ajami Alotaibi Saudi Arabia
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Citations per year

Countries citing papers authored by Roberto Barra-Chicote

Since Specialization
Citations

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

Fields of papers citing papers by Roberto Barra-Chicote

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Roberto Barra-Chicote. 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 Roberto Barra-Chicote. The network helps show where Roberto Barra-Chicote may publish in the future.

Co-authorship network of co-authors of Roberto Barra-Chicote

This figure shows the co-authorship network connecting the top 25 collaborators of Roberto Barra-Chicote. A scholar is included among the top collaborators of Roberto Barra-Chicote 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 Roberto Barra-Chicote. Roberto Barra-Chicote 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 2
2 6
3 10
4 37
5 10
6
Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers
111
7
Development of a Genre-Dependent TTS System with Cross-Speaker Speaking-Style Transplantation
1
8
8th ISCA Workshop on Speech Synthesis - Barcelona, Spain
1
9
Towards Speaking Style Transplantation in Speech Synthesis
11
10 1
11 9
12 2
13 22
14 6
15 10
16 9
17 4
18
A PROPOSAL OF METRICS FOR DETAILED EVALUATION IN PRONUNCIATION MODELING
1
19 26
20
New advances in cross-task and speaker adaptation for air traffic control tasks
3

About Roberto Barra-Chicote

Roberto Barra-Chicote is a scholar working on Signal Processing, Artificial Intelligence and Human-Computer Interaction, having authored 56 papers that have together received 781 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (36 papers), Speech and Audio Processing (23 papers) and Natural Language Processing Techniques (22 papers). The work is most often cited by research in Human-Computer Interaction (153 citations), Signal Processing (271 citations) and Artificial Intelligence (569 citations). Roberto Barra-Chicote has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Juan Manuel Montero, Rubén San-Segundo, Jaime Lorenzo-Trueba, Junichi Yamagishi, José Manuel Pardo, Fernando Fernández-Martínez, Javier Macías-Guarasa, Javier Ferreiros, Ricardo de Córdoba and Ascensión Gallardo-Antolín. Their work appears in journals such as Expert Systems with Applications, Sensors and Signal Processing.

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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