Óscar Reyes

745 total citations
20 papers, 541 citations indexed

About

Óscar Reyes is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Pathology and Forensic Medicine. According to data from OpenAlex, Óscar Reyes has authored 20 papers receiving a total of 541 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 4 papers in Pathology and Forensic Medicine. Recurrent topics in Óscar Reyes's work include Text and Document Classification Technologies (6 papers), Machine Learning and Data Classification (5 papers) and Machine Learning and Algorithms (4 papers). Óscar Reyes is often cited by papers focused on Text and Document Classification Technologies (6 papers), Machine Learning and Data Classification (5 papers) and Machine Learning and Algorithms (4 papers). Óscar Reyes collaborates with scholars based in Spain, Saudi Arabia and Cuba. Óscar Reyes's co-authors include Sebastián Ventura, Carlos Morell, Abdulrahman Altalhi, Habib M. Fardoun, Andrea Wiencierz, Johannes Lorscheider, Ludwig Kappos, Pasquale Calabrese, Jose M. Moyano and Yvonne Naegelin and has published in prestigious journals such as Information Sciences, International Journal of Computer Vision and Neurocomputing.

In The Last Decade

Óscar Reyes

20 papers receiving 529 citations

Peers

Countries citing papers authored by Óscar Reyes

Since Specialization

Citations

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

Fields of papers citing papers by Óscar Reyes

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Óscar Reyes

This figure shows the co-authorship network connecting the top 25 collaborators of Óscar Reyes. A scholar is included among the top collaborators of Óscar Reyes 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 Óscar Reyes. Óscar Reyes 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

#	Work	Indexed citations
1	CoGames: Development of an adaptive smartphone-based and gamified monitoring tool for cognitive function in Multiple Sclerosis 2025 ·Journal of Neurology ·(unknown), (unknown), Johannes Lorscheider, Andrea Wiencierz, Óscar Reyes, (unknown), Pasquale Calabrese, Cristina Granziera, Ludwig Kappos	2
2	Performing Melanoma Diagnosis by an Effective Multi-view Convolutional Network Architecture 2023 ·International Journal of Computer Vision ·(unknown), Óscar Reyes	2
3	Assessment of cognitive performance in multiple sclerosis using smartphone-based training games: a feasibility study 2023 ·Journal of Neurology ·(unknown), (unknown), Yvonne Naegelin, Johannes Lorscheider, Andrea Wiencierz, Óscar Reyes, Pasquale Calabrese, Ludwig Kappos	9
4	Smartwatch-derived sleep and heart rate measures complement step counts in explaining established metrics of MS severity 2023 ·Multiple Sclerosis and Related Disorders ·(unknown), (unknown), Óscar Reyes, Andrea Wiencierz, Ludwig Kappos, Cristina Granziera, Johannes Lorscheider	6
5	Reliability and acceptance of dreaMS, a software application for people with multiple sclerosis: a feasibility study 2022 ·Journal of Neurology ·(unknown), (unknown), Óscar Reyes, Andrea Wiencierz, Anthony Feinstein, Pasquale Calabrese, Konstantin Gugleta, Ludwig Kappos, Johannes Lorscheider, Yvonne Naegelin	16
6	Convolutional neural networks for the automatic diagnosis of melanoma: An extensive experimental study 2020 ·Medical Image Analysis ·(unknown), Óscar Reyes, Sebastián Ventura	49
7	Performing multi-target regression via gene expression programming-based ensemble models 2020 ·Neurocomputing ·Jose M. Moyano, Óscar Reyes, Habib M. Fardoun, Sebastián Ventura	10
8	Signal speech reconstruction and noise removal using convolutional denoising audioencoders with neural deep learning 2019 ·Analog Integrated Circuits and Signal Processing ·(unknown), (unknown), Óscar Reyes, Sebastián Ventura	18
9	Performing Multi-Target Regression via a Parameter Sharing-Based Deep Network 2019 ·International Journal of Neural Systems ·Óscar Reyes, Sebastián Ventura	49
10	Statistical comparisons of active learning strategies over multiple datasets 2018 ·Knowledge-Based Systems ·Óscar Reyes, Abdulrahman Altalhi, Sebastián Ventura	44
11	An ensemble-based method for the selection of instances in the multi-target regression problem 2018 ·Integrated Computer-Aided Engineering ·Óscar Reyes, (unknown), Sebastián Ventura	8
12	A gene expression programming method for multi-target regression 2018 ·Óscar Reyes, Jose M. Moyano, José María Luna, Sebastián Ventura	3
13	Evolutionary Strategy to Perform Batch-Mode Active Learning on Multi-Label Data 2018 ·ACM Transactions on Intelligent Systems and Technology ·Óscar Reyes, Sebastián Ventura	31
14	Effective active learning strategy for multi-label learning 2017 ·Neurocomputing ·Óscar Reyes, Carlos Morell, Sebastián Ventura	52
15	A locally weighted learning method based on a data gravitation model for multi-target regression 2017 ·International Journal of Computational Intelligence Systems ·Óscar Reyes, Alberto Cano, Habib M. Fardoun, Sebastián Ventura	13
16	JCLAL: a Java framework for active learning 2016 ·Journal of Machine Learning Research ·Óscar Reyes, (unknown), (unknown), (unknown), Sebastián Ventura	13
17	Effective lazy learning algorithm based on a data gravitation model for multi-label learning 2016 ·Information Sciences ·Óscar Reyes, Carlos Morell, Sebastián Ventura	22
18	Scalable extensions of the ReliefF algorithm for weighting and selecting features on the multi-label learning context 2015 ·Neurocomputing ·Óscar Reyes, Carlos Morell, Sebastián Ventura	156
19	Evolutionary feature weighting to improve the performance of multi-label lazy algorithms 2014 ·Integrated Computer-Aided Engineering ·Óscar Reyes, Carlos Morell, Sebastián Ventura	34
20	Learning similarity metric to improve the performance of lazy multi-label ranking algorithms 2012 ·Óscar Reyes, Carlos Morell, Sebastián Ventura	4

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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