Victoria Sánchez

82 total papers · 1.3k total citations
57 papers, 895 citations indexed

About

Victoria Sánchez is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Victoria Sánchez has authored 57 papers receiving a total of 895 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Signal Processing, 27 papers in Computer Vision and Pattern Recognition and 21 papers in Artificial Intelligence. Recurrent topics in Victoria Sánchez's work include Advanced Data Compression Techniques (21 papers), Speech and Audio Processing (20 papers) and Speech Recognition and Synthesis (19 papers). Victoria Sánchez is often cited by papers focused on Advanced Data Compression Techniques (21 papers), Speech and Audio Processing (20 papers) and Speech Recognition and Synthesis (19 papers). Victoria Sánchez collaborates with scholars based in Spain, United States and Denmark. Victoria Sánchez's co-authors include Antonio M. Peinado, Vesna Jevtović‐Todorović, Annalisa Boscolo, Nadia Lunardi, Antonio J. Rubio, Ángel M. Gómez, Alev Erişir, José L. Pérez-Córdoba, José C. Segura and Pavle M. Joksovic and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Signal Processing and Anesthesiology.

In The Last Decade

Victoria Sánchez

53 papers receiving 866 citations

Author Peers

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

Author Last Decade Papers Cites
Victoria Sánchez 383 320 263 216 209 57 895
Sang Hyun Kim 15 0.0× 27 0.1× 83 0.3× 110 0.5× 90 0.4× 64 828
Andrea Edwards 61 0.2× 29 0.1× 52 0.2× 18 0.1× 12 0.1× 44 704
D. G. Lampard 24 0.1× 25 0.1× 52 0.2× 25 0.1× 18 0.1× 49 870
Simone Rinaldi 44 0.1× 120 0.4× 86 0.3× 3 0.0× 75 0.4× 91 704
Canan Aykut Bingöl 9 0.0× 12 0.0× 43 0.2× 107 0.5× 11 0.1× 40 975
Bernd Walter 55 0.1× 135 0.4× 26 0.1× 5 0.0× 7 0.0× 64 925
Taeyoung Ha 8 0.0× 8 0.0× 4 0.0× 72 0.3× 11 0.1× 50 1.0k
V.C. Rideout 7 0.0× 9 0.0× 40 0.2× 4 0.0× 5 0.0× 43 820
Jaromír Kukal 5 0.0× 20 0.1× 2 0.0× 35 0.2× 22 0.1× 74 721
Matthew Might 14 0.0× 16 0.1× 135 0.6× 8 0.0× 80 1.0k

Countries citing papers authored by Victoria Sánchez

Since Specialization
Citations

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

Fields of papers citing papers by Victoria Sánchez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Victoria Sánchez

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