Aníbal Pedraza

20 papers and 315 indexed citations i.

About

Aníbal Pedraza is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Aníbal Pedraza has authored 20 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Aníbal Pedraza’s work include Adversarial Robustness in Machine Learning (7 papers), Anomaly Detection Techniques and Applications (4 papers) and Digital Imaging for Blood Diseases (4 papers). Aníbal Pedraza is often cited by papers focused on Adversarial Robustness in Machine Learning (7 papers), Anomaly Detection Techniques and Applications (4 papers) and Digital Imaging for Blood Diseases (4 papers). Aníbal Pedraza collaborates with scholars based in Spain, Italy and Germany. Aníbal Pedraza's co-authors include Gloria Bueno, Óscar Déniz, Saúl Blanco, Gabriel Cristóbal, Jesús Ruiz-Santaquiteria, Jesús Salido, Jaime Gallego, Arvydas Laurinavičius, Georg Steiner and Noelia Vállez and has published in prestigious journals such as Chaos Solitons & Fractals, Applied Sciences and Neural Computing and Applications.

In The Last Decade

Co-authorship network of co-authors of Aníbal Pedraza i

Fields of papers citing papers by Aníbal Pedraza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Aníbal Pedraza

Since Specialization
Citations

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