Pablo Zegers

About

Pablo Zegers is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Pablo Zegers has authored 23 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 5 papers in Signal Processing. Recurrent topics in Pablo Zegers’s work include Human Pose and Action Recognition (6 papers), Time Series Analysis and Forecasting (5 papers) and Neural Networks and Applications (4 papers). Pablo Zegers is often cited by papers focused on Human Pose and Action Recognition (6 papers), Time Series Analysis and Forecasting (5 papers) and Neural Networks and Applications (4 papers). Pablo Zegers collaborates with scholars based in Chile, United States and France. Pablo Zegers's co-authors include Sergio A. Velastín, Louahdi Khoudour, Alain Crouzil, José C. Prı́ncipe, Pavlos Protopapas, P. A. Estévez, P. Huijse, Nick Tyler, Rodrigo Fernández and Malur K. Sundareshan and has published in prestigious journals such as The Astrophysical Journal Supplement Series, IEEE Transactions on Signal Processing and Sensors.

In The Last Decade

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

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Fields of papers citing papers by Pablo Zegers

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Pablo Zegers

Since Specialization

Citations

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