Daniel Pérez

33 papers and 254 indexed citations i.

About

Daniel Pérez is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Daniel Pérez has authored 33 papers receiving a total of 254 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 7 papers in Computer Networks and Communications. Recurrent topics in Daniel Pérez’s work include Time Series Analysis and Forecasting (6 papers), Data Visualization and Analytics (6 papers) and Building Energy and Comfort Optimization (6 papers). Daniel Pérez is often cited by papers focused on Time Series Analysis and Forecasting (6 papers), Data Visualization and Analytics (6 papers) and Building Energy and Comfort Optimization (6 papers). Daniel Pérez collaborates with scholars based in Spain, United Kingdom and Belgium. Daniel Pérez's co-authors include Manuel Domí­nguez, Ignacio Díaz, Miguel A. Prada, Serafí­n Alonso, Abel A. Cuadrado, Antonio Morán, Juan J. Fuertes, Benjamin Livshits, Philippe Dumas and Ángel Piñeiro and has published in prestigious journals such as Analytical Biochemistry, IEEE Communications Magazine and Sensors.

In The Last Decade

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

Fields of papers citing papers by Daniel Pérez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniel Pérez

Since Specialization
Citations

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