Fernando Ortega

7.2k total citations · 3 hit papers
106 papers, 5.0k citations indexed

About

Fernando Ortega is a scholar working on Information Systems, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Fernando Ortega has authored 106 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Information Systems, 23 papers in Computer Vision and Pattern Recognition and 21 papers in Artificial Intelligence. Recurrent topics in Fernando Ortega's work include Recommender Systems and Techniques (48 papers), Multiple Myeloma Research and Treatments (16 papers) and Advanced Bandit Algorithms Research (16 papers). Fernando Ortega is often cited by papers focused on Recommender Systems and Techniques (48 papers), Multiple Myeloma Research and Treatments (16 papers) and Advanced Bandit Algorithms Research (16 papers). Fernando Ortega collaborates with scholars based in Spain, China and United States. Fernando Ortega's co-authors include Jesús Bobadilla, Antonio Hernando, Abraham Gutiérrez, Jesús Bernal, Jesús F. San Miguel, Raúl Lara-Cabrera, F. Casanova, Ángel González-Prieto, Rafael Jiménez and Marcos González and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and Cancer Research.

In The Last Decade

Fernando Ortega

101 papers receiving 4.7k citations

Hit Papers

Recommender systems survey 2011 2026 2016 2021 2013 2011 2016 500 1000 1.5k 2.0k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Fernando Ortega 3.4k 1.6k 1.2k 663 639 106 5.0k
Quoc Viet Hung Nguyen 2.6k 0.8× 2.9k 1.8× 1.0k 0.8× 680 1.0× 474 0.7× 197 5.2k
Shiping Chen 2.6k 0.8× 1.9k 1.2× 491 0.4× 2.1k 3.2× 148 0.2× 386 6.4k
Edward A. Fox 3.0k 0.9× 3.2k 2.1× 1.2k 1.0× 1.8k 2.8× 461 0.7× 406 7.4k
Xiangyu Zhao 1.2k 0.4× 1.1k 0.7× 463 0.4× 162 0.2× 364 0.6× 196 2.6k
Zongpeng Li 1.9k 0.6× 949 0.6× 421 0.3× 3.8k 5.8× 735 1.2× 282 5.5k
Jie Zhang 602 0.2× 882 0.6× 189 0.2× 571 0.9× 275 0.4× 278 3.9k
Jundong Li 1.4k 0.4× 4.2k 2.7× 1.1k 0.9× 778 1.2× 257 0.4× 199 6.5k
Jian‐Yun Nie 3.0k 0.9× 4.9k 3.2× 943 0.8× 349 0.5× 461 0.7× 272 7.5k
Jan Vanthienen 1.7k 0.5× 2.9k 1.9× 381 0.3× 337 0.5× 791 1.2× 219 6.4k
Kam‐Fai Wong 2.1k 0.6× 3.6k 2.3× 1.1k 0.9× 394 0.6× 186 0.3× 299 6.6k

Countries citing papers authored by Fernando Ortega

Since Specialization
Citations

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

Fields of papers citing papers by Fernando Ortega

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fernando Ortega

This figure shows the co-authorship network connecting the top 25 collaborators of Fernando Ortega. A scholar is included among the top collaborators of Fernando Ortega 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 Fernando Ortega. Fernando Ortega is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Lara-Cabrera, Raúl, et al.. (2025). Deep neural aggregation for recommending items to group of users. Applied Soft Computing. 175. 113059–113059.
2.
Ortega, Fernando, et al.. (2024). Incorporating recklessness to collaborative filtering based recommender systems. Information Sciences. 679. 121131–121131. 2 indexed citations
3.
Lara-Cabrera, Raúl, et al.. (2023). Neural group recommendation based on a probabilistic semantic aggregation. Neural Computing and Applications. 35(19). 14081–14092. 4 indexed citations
4.
Ortega, Fernando, et al.. (2023). New Trends in Artificial Intelligence for Recommender Systems and Collaborative Filtering. Applied Sciences. 13(15). 8845–8845.
5.
Lara-Cabrera, Raúl, Fernando Ortega, Edgar Talavera, & Daniel López-Fernández. (2023). Using 3-D Printed Badges to Improve Student Performance and Reduce Dropout Rates in STEM Higher Education. IEEE Transactions on Education. 66(6). 612–621. 4 indexed citations
6.
Bobadilla, Jesús, et al.. (2023). Comprehensive Evaluation of Matrix Factorization Models for Collaborative Filtering Recommender Systems.. International Journal of Interactive Multimedia and Artificial Intelligence. 8(6). 15–23. 6 indexed citations
7.
Bobadilla, Jesús, et al.. (2022). Deep Variational Embedding Representation on Neural Collaborative Filtering Recommender Systems. Applied Sciences. 12(9). 4168–4168. 6 indexed citations
8.
Lara-Cabrera, Raúl, et al.. (2022). Dirichlet Matrix Factorization: A Reliable Classification-Based Recommender System. Applied Sciences. 12(3). 1223–1223. 6 indexed citations
9.
López-Fernández, Daniel, Aldo Gordillo, Fernando Ortega, Agustín Yagüe, & Edmundo Tovar. (2021). LEGO® Serious Play in Software Engineering Education. IEEE Access. 9. 103120–103131. 14 indexed citations
10.
Ortega, Fernando, et al.. (2020). CF4J 2.0: Adapting Collaborative Filtering for Java to new challenges of collaborative filtering based recommender systems. Knowledge-Based Systems. 215. 106629–106629. 12 indexed citations
11.
López-Fernández, Daniel, et al.. (2019). Project based learning meets service learning on software development education. International journal of engineering education. 35(5). 1436–1445. 7 indexed citations
12.
Ortega, Fernando, et al.. (2011). Obtención y ensayos de electrodos EDM a partir de fabricación aditiva. 406–418. 1 indexed citations
14.
Cozar, M., et al.. (2006). Detección por PET de una tumoración primaria de vesícula biliar y adenopatía metastásica pericística. Revista Española de Medicina Nuclear. 25(2). 113–114. 1 indexed citations
16.
García‐Sánz, Ramón, Jesús María Hernández‐Rivas, M C López-Berges, et al.. (2004). Proliferative activity of plasma cells is the most relevant prognostic factor in elderly multiple myeloma patients. International Journal of Cancer. 112(5). 884–889. 36 indexed citations
17.
Bladé, Joan, Jesús F. San Miguel, J Garcı́a-Conde, et al.. (1993). Treatment of melphalan-resistant multiple myeloma with vincristine, BCNU, doxorubicin, and high-dose dexamethasone (VBAD). European Journal of Cancer. 29(1). 57–60. 9 indexed citations
18.
Miguel, Jesús F. San, et al.. (1991). Interferon and dexamethasone in multiple myeloma patients refractory to chemotherapy. European Journal of Cancer and Clinical Oncology. 27. S48–S49. 2 indexed citations
19.
Miguel, Jesús F. San, Fernando Ortega, Rafael Jiménez, et al.. (1991). Immunophenotypic heterogeneity of multiple myeloma: influence on the biology and clinical course of the disease. British Journal of Haematology. 77(2). 185–190. 79 indexed citations
20.
Valle, Maria Del & Fernando Ortega. (1969). Las obras públicas en España.. Información Comercial Española, ICE: Revista de economía. 95–122. 2 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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