Enrique Sánchez

624 total citations
17 papers, 262 citations indexed

About

Enrique Sánchez is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Experimental and Cognitive Psychology. According to data from OpenAlex, Enrique Sánchez has authored 17 papers receiving a total of 262 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 5 papers in Signal Processing and 5 papers in Experimental and Cognitive Psychology. Recurrent topics in Enrique Sánchez's work include Face recognition and analysis (7 papers), Emotion and Mood Recognition (5 papers) and Speech and Audio Processing (3 papers). Enrique Sánchez is often cited by papers focused on Face recognition and analysis (7 papers), Emotion and Mood Recognition (5 papers) and Speech and Audio Processing (3 papers). Enrique Sánchez collaborates with scholars based in United Kingdom, Spain and United States. Enrique Sánchez's co-authors include Michel Valstar, Georgios Tzimiropoulos, Maja Pantić, Zheng Zhang, Jeffrey M. Girard, Lijun Yin, László A. Jeni, Jeffrey F. Cohn, Linlin Shen and Siyang Song and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition Letters and System.

In The Last Decade

Enrique Sánchez

17 papers receiving 254 citations

Peers

Enrique Sánchez
Comparison fields: 5 of 50
  • Computer Vision and Pattern Recognition 134
  • Experimental and Cognitive Psychology 133
  • Signal Processing 39
  • Artificial Intelligence 39
  • Cognitive Neuroscience 36
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Citations per field, relative to Enrique Sánchez
Enrique Sánchez · 1×
Citations per year, relative to Enrique Sánchez
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Countries citing papers authored by Enrique Sánchez

Since Specialization
Citations

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

Fields of papers citing papers by Enrique Sánchez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Enrique Sánchez

This figure shows the co-authorship network connecting the top 25 collaborators of Enrique Sánchez. A scholar is included among the top collaborators of Enrique 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 Enrique Sánchez. Enrique Sánchez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
# Work Indexed citations
1 5
2 29
3 7
4 9
5
Unsupervised Learning of Object Landmarks via Self-Training Correspondence
7
6 5
7 1
8 2
9 14
10 38
11 27
12 84
13 6
14 24
15 1
16
Cognos: a pragmatic annotation toolkit for the acquisition of natural interaction knowledge
1
17
Quantifying and enforcing the two-dimensional symmetry of scanning probe microscopy images of periodic objects
2

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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2026