Roberto Barra-Chicote

109 total papers · 1.3k total citations
56 papers, 780 citations indexed

About

Roberto Barra-Chicote is a scholar working on Artificial Intelligence, Signal Processing and Experimental and Cognitive Psychology. According to data from OpenAlex, Roberto Barra-Chicote has authored 56 papers receiving a total of 780 indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Artificial Intelligence, 28 papers in Signal Processing and 10 papers in Experimental and Cognitive Psychology. Recurrent topics in Roberto Barra-Chicote's work include Speech Recognition and Synthesis (36 papers), Speech and Audio Processing (23 papers) and Natural Language Processing Techniques (22 papers). Roberto Barra-Chicote is often cited by papers focused on Speech Recognition and Synthesis (36 papers), Speech and Audio Processing (23 papers) and Natural Language Processing Techniques (22 papers). Roberto Barra-Chicote collaborates with scholars based in Spain, United States and United Kingdom. Roberto Barra-Chicote's 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, Ascensión Gallardo-Antolín and Ricardo de Córdoba and has published in prestigious journals such as Expert Systems with Applications, Sensors and Signal Processing.

In The Last Decade

Roberto Barra-Chicote

53 papers receiving 699 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Roberto Barra-Chicote 568 271 153 147 101 56 780
Ricardo de Córdoba 508 0.9× 236 0.9× 202 1.3× 109 0.7× 143 1.4× 88 726
Javier Ferreiros 458 0.8× 164 0.6× 201 1.3× 127 0.9× 142 1.4× 88 719
Fernando Fernández-Martínez 326 0.6× 147 0.5× 139 0.9× 247 1.7× 79 0.8× 82 837
Matthias Wölfel 395 0.7× 462 1.7× 173 1.1× 137 0.9× 22 0.2× 85 849
Giampiero Salvi 326 0.6× 207 0.8× 51 0.3× 138 0.9× 43 0.4× 82 701
Matúš Pleva 318 0.6× 189 0.7× 67 0.4× 127 0.9× 17 0.2× 92 626
Mohammed Hasanuzzaman 348 0.6× 38 0.1× 212 1.4× 200 1.4× 123 1.2× 64 736
Piero Cosi 351 0.6× 267 1.0× 36 0.2× 157 1.1× 40 0.4× 76 622
Werner Verhelst 358 0.6× 469 1.7× 38 0.2× 196 1.3× 43 0.4× 94 886
Jozef Juhár 393 0.7× 245 0.9× 71 0.5× 139 0.9× 10 0.1× 131 775

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

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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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