Eduardo Lleida

232 total papers · 2.3k total citations
145 papers, 1.3k citations indexed

About

Eduardo Lleida is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Eduardo Lleida has authored 145 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 119 papers in Artificial Intelligence, 91 papers in Signal Processing and 20 papers in Computer Vision and Pattern Recognition. Recurrent topics in Eduardo Lleida's work include Speech Recognition and Synthesis (105 papers), Speech and Audio Processing (84 papers) and Music and Audio Processing (57 papers). Eduardo Lleida is often cited by papers focused on Speech Recognition and Synthesis (105 papers), Speech and Audio Processing (84 papers) and Music and Audio Processing (57 papers). Eduardo Lleida collaborates with scholars based in Spain, United States and Canada. Eduardo Lleida's co-authors include Alfonso Ortega, Antonio Miguel, Jesús Villalba, Richard C. Rose, Óscar Saz, Carlos Vaquero, David Martínez, José Bernardo Mariño Acebal, Climent Nadeu and Antonio Bonafonte and has published in prestigious journals such as IEEE Access, Electronics Letters and Applied Sciences.

In The Last Decade

Eduardo Lleida

136 papers receiving 1.2k citations

Author Peers

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

Author Last Decade Papers Cites
Eduardo Lleida 978 845 159 142 136 145 1.3k
Oliver Watts 1.1k 1.1× 722 0.9× 150 0.9× 184 1.3× 46 0.3× 64 1.4k
Corinne Fredouille 1.3k 1.3× 1.2k 1.4× 192 1.2× 131 0.9× 201 1.5× 68 1.6k
Peter Bell 1.1k 1.1× 671 0.8× 122 0.8× 324 2.3× 64 0.5× 105 1.5k
Seiichi Nakagawa 1.4k 1.4× 1.0k 1.2× 189 1.2× 154 1.1× 30 0.2× 257 1.6k
Rohit Sinha 940 1.0× 896 1.1× 130 0.8× 112 0.8× 61 0.4× 122 1.1k
Asunción Moreno 872 0.9× 569 0.7× 128 0.8× 261 1.8× 50 0.4× 35 1.2k
C. Wellekens 843 0.9× 744 0.9× 180 1.1× 96 0.7× 28 0.2× 53 1.1k
Xiaodong Cui 1.2k 1.2× 824 1.0× 238 1.5× 125 0.9× 30 0.2× 92 1.6k
Dimitra Vergyri 1.3k 1.3× 819 1.0× 194 1.2× 243 1.7× 32 0.2× 62 1.7k
Brian Mak 1.1k 1.1× 1.0k 1.2× 260 1.6× 140 1.0× 22 0.2× 114 1.5k

Countries citing papers authored by Eduardo Lleida

Since Specialization
Citations

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

Fields of papers citing papers by Eduardo Lleida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eduardo Lleida. 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 Eduardo Lleida. The network helps show where Eduardo Lleida may publish in the future.

Co-authorship network of co-authors of Eduardo Lleida

This figure shows the co-authorship network connecting the top 25 collaborators of Eduardo Lleida. A scholar is included among the top collaborators of Eduardo Lleida 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 Eduardo Lleida. Eduardo Lleida 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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