Fernando Ortega

7.2k citations

106 papers · 5.0k · 3 hit papers · h-index 30

Impact in

Information Systems top 0.05%
- Recommender Systems and Techniques
Computer Vision and Pattern Recognition top 0.5%
- Image Retrieval and Classification Techniques
- Image and Video Quality Assessment

Papers in

Information Systems 51
- Recommender Systems and Techniques 48
Computer Vision and Pattern Recognition 23
- Image and Video Quality Assessment 8
- Image Retrieval and Classification Techniques 7

Co-authors: Jesús Bobadilla (39 shared papers)Antonio Hernando (17 shared papers)Abraham Gutiérrez (15 shared papers)Jesús Bernal (3 shared papers)Jesús F. San Miguel (15 shared papers)Raúl Lara-Cabrera (12 shared papers)F. Casanova (7 shared papers)Ángel González-Prieto (11 shared papers)
Journals: Information Sciences (9 papers)IEEE Access (9 papers)Knowledge-Based Systems (8 papers)Applied Sciences (6 papers)Neural Computing and Applications (4 papers)
Partner nations: Spain China United States

In The Last Decade

Fernando Ortega

101 papers receiving 4.8k citations

Fernando Ortega's Hit Papers

align trajectories log scale

A non negative matrix factorization for collaborative filtering recommender systems based on a Bayesian probabilistic model 2016 · 229 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2016 Knowledge-Based Systems
2013 Knowledge-Based Systems
2011 Knowledge-Based Systems

Peers

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-authors

The 25 scholars most cited alongside Fernando Ortega, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Fernando Ortega Line = papers co-authored together Fernando Ortega links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 106 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Recommender systems survey Knowledge-Based Systems ·Jesús Bobadilla, Fernando Ortega, Antonio Hernando, Abraham Gutiérrez Hit paper breakdown →	2013	2069
2	A collaborative filtering approach to mitigate the new user cold start problem Knowledge-Based Systems ·Jesús Bobadilla, Fernando Ortega, Antonio Hernando, Jesús Bernal Hit paper breakdown →	2011	326
3	A non negative matrix factorization for collaborative filtering recommender systems based on a Bayesian probabilistic model Knowledge-Based Systems ·Antonio Hernando, Jesús Bobadilla, Fernando Ortega Hit paper breakdown →	2016	229
4	Improving collaborative filtering recommender system results and performance using genetic algorithms Knowledge-Based Systems ·Jesús Bobadilla, Fernando Ortega, Antonio Hernando, Javier Alcalá	2011	160
5	Recommending items to group of users using Matrix Factorization based Collaborative Filtering Information Sciences ·Fernando Ortega, Antonio Hernando, Jesús Bobadilla, Jeon Hyung Kang	2016	124
6	A collaborative filtering similarity measure based on singularities Information Processing & Management ·Jesús Bobadilla, Fernando Ortega, Antonio Hernando	2011	123
7	A new staging system for multiple myeloma based on the number of S- phase plasma cells Blood ·Jesús F. San Miguel, Ramón García‐Sánz, Marcos González, MJ Moro, JM Hernández, Fernando Ortega, D Borrego, M. Angeles Carnero, F. Casanova, Rafael Jiménez	1995	108
8	A framework for collaborative filtering recommender systems Expert Systems with Applications ·Jesús Bobadilla, Antonio Hernando, Fernando Ortega, Jesús Bernal	2011	93
9	Collaborative filtering based on significances Information Sciences ·Jesús Bobadilla, Antonio Hernando, Fernando Ortega, Abraham Gutiérrez	2011	92
10	A new staging system for multiple myeloma based on the number of S- phase plasma cells Blood ·Jesús F. San Miguel, Ramón García‐Sánz, Marcos González, MJ Moro, JM Hernández, Fernando Ortega, D Borrego, M. Angeles Carnero, F. Casanova, Rafael Jiménez	1995	86
11	Immunophenotypic heterogeneity of multiple myeloma: influence on the biology and clinical course of the disease British Journal of Haematology ·Jesús F. San Miguel, Marcos Gonzáalez, (unknown), Ma Jesus Moro, J. M. Hernáandez, Fernando Ortega, Rafael Jiménez, L. Guerras, Marta R. Romero, F. Casanova, Miguel Á. Sanz, J. Sáanchez, J. A. Portero, (unknown)	1991	79
12	Lymphoid subsets and prognostic factors in multiple myeloma British Journal of Haematology ·Jesús F. San Miguel, Marcos González, (unknown), J. Moro, Jesús María Hernández‐Rivas, Fernando Ortega, Raquel Jiménez, L. Guerras, Marta R. Romero, F. Casanova, M. A. Sanz, José Elías García Sánchez, Jin-Chul Ahn and, A Orfao	1992	78
13	Clonal plasma cells from monoclonal gammopathy of undetermined significance, multiple myeloma and plasma cell leukemia show different expression profiles of molecules involved in the interaction with the immunological bone marrow microenvironment Leukemia ·Martín Pérez‐Andrés, Júlia Almeida, M Martín-Ayuso, Marı́a Jesús Moro, Guillermo Martín–Núñez, Josefina Galende, Daniel Borrego, Delgado Rodríguez, Fernando Ortega, José‐Ángel Hernández‐Rivas, Inmaculada Moreno, Mercedes Domínguez, Gema Mateo, Jesús F. San Miguel, (unknown)	2005	66
14	A Collaborative Filtering Approach Based on Naïve Bayes Classifier IEEE Access ·Priscila Valdiviezo-Díaz, Fernando Ortega, Eduardo Cobos, Raúl Lara-Cabrera	2019	63
15	Prognostic implications of DNA aneuploidy in 156 untreated multiple myeloma patients British Journal of Haematology ·Ramón García‐Sánz, (unknown), Marcos González, Ma Jesus Moro, Jesús María Hernández‐Rivas, Fernando Ortega, D Borrego, M. Angeles Carnero, F. Casanova, Rafael Jiménez, J. A. Portero, Jesús F. San Miguel	1995	62
16	Improving collaborative filtering-based recommender systems results using Pareto dominance Information Sciences ·Fernando Ortega, José L. Sánchez, Jesús Bobadilla, Abraham Gutiérrez	2013	56
17	Lead in Plasma and Whole Blood from Lead-Exposed Children Environmental Research ·Ingvar A. Bergdahl, Marie Vahter, S. Allen Counter, Andrejs Schütz, Leo H. Buchanan, Fernando Ortega, Göran Laurell, Staffan Skerfving	1999	55
18	Incorporating reliability measurements into the predictions of a recommender system Information Sciences ·Antonio Hernando, Jesús Bobadilla, Fernando Ortega, J L Tejedor	2012	52
19	Classification-based Deep Neural Network Architecture for Collaborative Filtering Recommender Systems. International Journal of Interactive Multimedia and Artificial Intelligence ·Jesús Bobadilla, Fernando Ortega, Abraham Gutiérrez, Santiago Alonso	2020	44
20	Incorporating group recommendations to recommender systems: Alternatives and performance Information Processing & Management ·Fernando Ortega, Jesús Bobadilla, Antonio Hernando, Abraham Gutiérrez	2013	44

About Fernando Ortega

Fernando Ortega is a scholar working on Information Systems, Computer Vision and Pattern Recognition, Artificial Intelligence, Hematology and Management Science and Operations Research, having authored 106 papers that have together received 5.0k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (48 papers), Advanced Bandit Algorithms Research (16 papers), Multiple Myeloma Research and Treatments (14 papers), Image and Video Quality Assessment (8 papers), Data Management and Algorithms (7 papers), Advanced Power Amplifier Design (7 papers), Data Stream Mining Techniques (7 papers) and Image Retrieval and Classification Techniques (7 papers). The work is most often cited by research in Information Systems (3.4k citations), Computer Vision and Pattern Recognition (1.2k citations), Hematology (551 citations), Management Science and Operations Research (642 citations) and Transportation (329 citations). Fernando Ortega has collaborated with scholars based in Spain, China and United States. Frequent 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. Their work appears in journals such as Information Sciences, IEEE Access, Knowledge-Based Systems, Applied Sciences and Neural Computing and Applications.

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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