Daniel Peralta

34 papers and 793 indexed citations i.

About

Daniel Peralta is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Daniel Peralta has authored 34 papers receiving a total of 793 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Signal Processing, 12 papers in Artificial Intelligence and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Daniel Peralta’s work include Biometric Identification and Security (11 papers), Face and Expression Recognition (6 papers) and Machine Learning and Data Classification (6 papers). Daniel Peralta is often cited by papers focused on Biometric Identification and Security (11 papers), Face and Expression Recognition (6 papers) and Machine Learning and Data Classification (6 papers). Daniel Peralta collaborates with scholars based in Belgium, Spain and Saudi Arabia. Daniel Peralta's co-authors include Francisco Herrera, Isaac Triguero, José M. Benítez, Salvador García, Yvan Saeys, Jaume Bacardit, Mikel Galar, Daniel Paternain, Edurne Barrenechea and Humberto Bustince and has published in prestigious journals such as Frontiers in Microbiology, Sensors and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Daniel Peralta i

Fields of papers citing papers by Daniel Peralta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniel Peralta

Since Specialization
Citations

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

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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2025