Yago Sáez

53 papers and 914 indexed citations i.

About

Yago Sáez is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yago Sáez has authored 53 papers receiving a total of 914 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 15 papers in Management Science and Operations Research and 13 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yago Sáez’s work include Auction Theory and Applications (10 papers), Consumer Market Behavior and Pricing (9 papers) and Evolutionary Algorithms and Applications (9 papers). Yago Sáez is often cited by papers focused on Auction Theory and Applications (10 papers), Consumer Market Behavior and Pricing (9 papers) and Evolutionary Algorithms and Applications (9 papers). Yago Sáez collaborates with scholars based in Spain, Italy and France. Yago Sáez's co-authors include Alejandro Baldominos, Pedro Isasi, David Quintana, Alejandro Cervantes, Diego Pérez-Liébana, Julian Togelius, Pier Luca Lanzi, Daniele Loiacono, Martin V. Butz and José Luis Gómez‐Barroso and has published in prestigious journals such as Energy Policy, Expert Systems with Applications and Sensors.

In The Last Decade

Co-authorship network of co-authors of Yago Sáez i

Fields of papers citing papers by Yago Sáez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yago Sáez

Since Specialization
Citations

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