Alberto Suárez

64 papers and 1.7k indexed citations i.

About

Alberto Suárez is a scholar working on Artificial Intelligence, Statistics and Probability and Statistical and Nonlinear Physics. According to data from OpenAlex, Alberto Suárez has authored 64 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Artificial Intelligence, 12 papers in Statistics and Probability and 12 papers in Statistical and Nonlinear Physics. Recurrent topics in Alberto Suárez’s work include Machine Learning and Data Classification (14 papers), Neural Networks and Applications (12 papers) and Face and Expression Recognition (10 papers). Alberto Suárez is often cited by papers focused on Machine Learning and Data Classification (14 papers), Neural Networks and Applications (12 papers) and Face and Expression Recognition (10 papers). Alberto Suárez collaborates with scholars based in Spain, United States and Belgium. Alberto Suárez's co-authors include Gonzalo Martínez-Muñoz, R. Silbey, Daniel Hernández-Lobato, Rubén Ruiz-Torrubiano, Irwin Oppenheim, James F. Lutsko, José Miguel Hernández-Lobato, Nader Fathianpour, John Ross and David R. Reichman and has published in prestigious journals such as Physical Review Letters, The Journal of Chemical Physics and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Co-authorship network of co-authors of Alberto Suárez i

Fields of papers citing papers by Alberto Suárez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Alberto Suárez

Since Specialization
Citations

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