Pablo Rivas

About

Pablo Rivas is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Pablo Rivas has authored 43 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 11 papers in Computer Vision and Pattern Recognition and 6 papers in Signal Processing. Recurrent topics in Pablo Rivas’s work include Adversarial Robustness in Machine Learning (9 papers), Quantum Information and Cryptography (7 papers) and Quantum Computing Algorithms and Architecture (7 papers). Pablo Rivas is often cited by papers focused on Adversarial Robustness in Machine Learning (9 papers), Quantum Information and Cryptography (7 papers) and Quantum Computing Algorithms and Architecture (7 papers). Pablo Rivas collaborates with scholars based in United States, Mexico and Finland. Pablo Rivas's co-authors include Ernesto Sifuentes, Erich J. Baker, Rafael González-Landaeta, Greg Hamerly, Bryan F. Shaw, Sharon Moore, Nicole A. R. Walter, Kathleen A. Grant, Steven W. Gonzales and Casimer DeCusatis and has published in prestigious journals such as Sensors, IEEE Access and International Journal of Remote Sensing.

In The Last Decade

Co-authorship network of co-authors of Pablo Rivas i

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Fields of papers citing papers by Pablo Rivas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Pablo Rivas

Since Specialization

Citations

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