Yago Sáez

2.0k total citations
62 papers, 1.3k citations indexed

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 62 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 18 papers in Management Science and Operations Research and 14 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yago Sáez's work include Auction Theory and Applications (13 papers), Evolutionary Algorithms and Applications (12 papers) and Metaheuristic Optimization Algorithms Research (11 papers). Yago Sáez is often cited by papers focused on Auction Theory and Applications (13 papers), Evolutionary Algorithms and Applications (12 papers) and Metaheuristic Optimization Algorithms Research (11 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, Daniele Loiacono, Pier Luca Lanzi, Julian Togelius, Enrique Onieva and Mike Preuß and has published in prestigious journals such as Energy Policy, Expert Systems with Applications and Sensors.

In The Last Decade

Yago Sáez

60 papers receiving 1.2k citations

Peers

Yago Sáez

CVPR

CNC

EEE

Plácido Rogério Pinheiro Brazil

Boyang Li China

Pedro Isasi Spain

Iván García‐Magariño Spain

Ghulam Mujtaba Pakistan

Neil Y. Yen Japan

Widodo Budiharto Indonesia

Henry Friday Nweke Nigeria

Phivos Mylonas Greece

Nikolaos Mavridis United States

Plácido Rogério Pinheiro Brazil

Yago Sáez

592 ×1.1

206 ×0.6

CVPR

135 ×0.8

CNC

347 ×2.6

157 ×1.3

EEE

Citations per year, relative to Yago Sáez Yago Sáez (= 1×) peers Plácido Rogério Pinheiro

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).

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.

Co-authorship network of co-authors of Yago Sáez

This figure shows the co-authorship network connecting the top 25 collaborators of Yago Sáez. A scholar is included among the top collaborators of Yago Sáez based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yago Sáez. Yago Sáez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Cervantes, Alejandro, David Quintana, Yago Sáez, & Pedro Isasi. (2022). Longitudinal Segmented Analysis of Internet Usage and Well-Being Among Older Adults.. International Journal of Interactive Multimedia and Artificial Intelligence. 8(6). 168–176.

Sáez, Yago, et al.. (2022). Electricity market integration and impact of renewable energy sources in the Central Western Europe region: Evolution since the implementation of the Flow-Based Market Coupling mechanism. Energy Reports. 8. 1768–1788. 14 indexed citations

León, Patricia de, Yago Sáez, Sira Defaus, et al.. (2020). Association of Porcine Swine Leukocyte Antigen (SLA) Haplotypes with B- and T-Cell Immune Response to Foot-and-Mouth Disease Virus (FMDV) Peptides. Vaccines. 8(3). 513–513. 10 indexed citations

Cervantes, Alejandro, et al.. (2019). IACS-HCSP: Improved ant colony optimization for large-scale home care scheduling problems. Expert Systems with Applications. 142. 112994–112994. 29 indexed citations

Baldominos, Alejandro, et al.. (2019). A Comparison of Machine Learning and Deep Learning Techniques for Activity Recognition using Mobile Devices. Sensors. 19(3). 521–521. 48 indexed citations

Quintana, David, Alejandro Cervantes, Yago Sáez, & Pedro Isasi. (2018). Internet Use and Psychological Well-Being at Advanced Age: Evidence from the English Longitudinal Study of Aging. International Journal of Environmental Research and Public Health. 15(3). 480–480. 52 indexed citations

Baldominos, Alejandro, Yago Sáez, & Pedro Isasi. (2018). Evolutionary Design of Convolutional Neural Networks for Human Activity Recognition in Sensor-Rich Environments. Sensors. 18(4). 1288–1288. 27 indexed citations

Baldominos, Alejandro, et al.. (2015). An Approach to Physical Rehabilitation Using State-of-the-art Virtual Reality and Motion Tracking Technologies. Procedia Computer Science. 64. 10–16. 48 indexed citations

Baldominos, Alejandro, et al.. (2014). A scalable machine learning online service for big data real-time analysis. e-Archivo (Carlos III University of Madrid). 1–8. 34 indexed citations

10.

Sáez, Yago, et al.. (2014). Understanding Auctions. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 9 indexed citations

11.

Sáez, Yago, et al.. (2013). Performance of the most common non-cryptographic hash functions. Software Practice and Experience. 44(6). 681–698. 28 indexed citations

12.

Gómez‐Barroso, José Luis, et al.. (2011). The importance of the size of the digital dividend when digital dividend spectrum is auctioned. International Journal of Mobile Communications. 9(1). 57–57. 3 indexed citations

13.

Sáez, Yago, et al.. (2010). Pac-mAnt: Optimization based on ant colonies applied to developing an agent for Ms. Pac-Man. 458–464. 17 indexed citations

14.

Sáez, Yago, et al.. (2009). Improved Accuracy Rates of a Prototype Based Classifier Using Evolutionary Computation. 491–496. 1 indexed citations

15.

Pérez-Liébana, Diego, et al.. (2008). Evolving a rule system controller for automatic driving in a car racing competition. 336–342. 9 indexed citations

16.

Isasi, Pedro, et al.. (2007). APPLIED COMPUTATIONAL INTELLIGENCE FOR FINANCE AND ECONOMICS. Computational Intelligence. 23(2). 111–116. 4 indexed citations

17.

Sáez, Yago, et al.. (2007). Bidding with memory in the presence of synergies: a genetic algorithm implementation. e-Archivo (Carlos III University of Madrid). 23. 228–235. 1 indexed citations

18.

Quintana, David, et al.. (2007). Soft computing techniques applied to finance. Applied Intelligence. 29(2). 111–115. 32 indexed citations

19.

Quintana, David, et al.. (2005). Analysis of Ausubel Auctions by Means of Evolutionary Computation. e-Archivo (Carlos III University of Madrid). 3. 2645–2652. 2 indexed citations

20.

Sáez, Yago, Pedro Isasi, Javier Segovia, & García Hernández. (2005). Reference chromosome to overcome user fatigue in IEC. New Generation Computing. 23(2). 129–142. 6 indexed citations

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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