D. Salas-González

3.8k total citations
92 papers, 2.5k citations indexed

About

D. Salas-González is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Neurology. According to data from OpenAlex, D. Salas-González has authored 92 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Computer Vision and Pattern Recognition, 31 papers in Artificial Intelligence and 30 papers in Neurology. Recurrent topics in D. Salas-González's work include Medical Image Segmentation Techniques (34 papers), Brain Tumor Detection and Classification (28 papers) and Image Retrieval and Classification Techniques (26 papers). D. Salas-González is often cited by papers focused on Medical Image Segmentation Techniques (34 papers), Brain Tumor Detection and Classification (28 papers) and Image Retrieval and Classification Techniques (26 papers). D. Salas-González collaborates with scholars based in Spain, Germany and United Kingdom. D. Salas-González's co-authors include J. M. Górriz, Javier Ramı́rez, I. Álvarez, F. Segovia, M. López, R. Chaves, Carlos G. Puntonet, Andrés Ortíz, Pablo Padilla and Manuel Gómez-Río and has published in prestigious journals such as PLoS ONE, NeuroImage and Expert Systems with Applications.

In The Last Decade

D. Salas-González

92 papers receiving 2.4k citations

Peers

Countries citing papers authored by D. Salas-González

Since Specialization

Citations

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

Fields of papers citing papers by D. Salas-González

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. Salas-González. 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 D. Salas-González. The network helps show where D. Salas-González may publish in the future.

Co-authorship network of co-authors of D. Salas-González

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	Fuzzy Petri-Net-Based Risk Assessment Model for AI Adoption in SME Auto-Component Clusters 2025 ·D. Salas-González, (unknown)	1
2	Nonlinear Weighting Ensemble Learning Model to Diagnose Parkinson’s Disease Using Multimodal Data 2023 ·International Journal of Neural Systems ·Diego Castillo-Barnés, Francisco J. Martínez-Murcia, C. Jiménez-Mesa, Juan E. Arco, D. Salas-González, Javier Ramı́rez, J. M. Górriz	11
3	Connected system for monitoring electrical power transformers using thermal imaging 2023 ·Integrated Computer-Aided Engineering ·F. Segovia, Javier Ramı́rez, D. Salas-González, I. Álvarez, Francisco J. Martínez-Murcia, (unknown), (unknown), Carlos F. Gaitán, J. M. Górriz	3
4	Statistical Agnostic Mapping: A framework in neuroimaging based on concentration inequalities 2021 ·arXiv (Cornell University) ·J. M. Górriz, C. Jiménez-Mesa, (unknown), F. Segovia, (unknown), Diego Castillo-Barnés, Francisco J. Martínez-Murcia, (unknown), D. Salas-González	13
5	Autosomal dominantly inherited alzheimer disease: Analysis of genetic subgroups by machine learning 2020 ·Information Fusion ·Diego Castillo-Barnés, Li Su, Javier Ramı́rez, D. Salas-González, Francisco J. Martínez-Murcia, I. Álvarez, F. Segovia, Andrés Ortíz, Carlos Cruchaga, Martin R. Farlow, Chengjie Xiong, N. R. Graff-Radford, Peter R. Schofield, Colin L. Masters, Stephen Salloway, Mathias Jucker, Hiroshi Mori, Johannes Levin, J. M. Górriz, (unknown)	15
6	Parkinson's Disease Detection Using Isosurfaces-Based Features and Convolutional Neural Networks 2019 ·Frontiers in Neuroinformatics ·Andrés Ortíz, Jorge Munilla, (unknown), J. M. Górriz, Javier Ramı́rez, D. Salas-González	60
7	A Heavy Tailed Expectation Maximization Hidden Markov Random Field Model with Applications to Segmentation of MRI 2017 ·Frontiers in Neuroinformatics ·Diego Castillo-Barnés, (unknown), Francisco J. Martínez-Murcia, F. Segovia, I. Álvarez, J. M. Górriz, Javier Ramı́rez, D. Salas-González	3
8	An Optimal Approach for Selecting Discriminant Regions for the Diagnosis of Alzheimer's Disease 2016 ·Current Alzheimer Research ·D. Salas-González, F. Segovia, Francisco J. Martínez-Murcia, Elke Lang, J. M. Górriz, (unknown)	6
9	Comparison between Different Intensity Normalization Methods in 123I-Ioflupane Imaging for the Automatic Detection of Parkinsonism 2015 ·PLoS ONE ·A. Brahim, Javier Ramı́rez, J. M. Górriz, L. Khedher, D. Salas-González	16
10	PETRA: Multivariate analyses for neuroimaging data 2014 ·Open Repository and Bibliography (University of Liège) ·F. Segovia, I. Álvarez, D. Salas-González, Francisco J. Martínez-Murcia, Christophe Phillips, Carlos G. Puntonet, (unknown), J. M. Górriz	2
11	Linear intensity normalization of FP-CIT SPECT brain images using the α-stable distribution 2012 ·NeuroImage ·D. Salas-González, J. M. Górriz, Javier Ramı́rez, I. Álvarez, Elmar W. Lang	29
12	Bilateral symmetry aspects in computer-aided Alzheimer's disease diagnosis by single-photon emission-computed tomography imaging 2012 ·Artificial Intelligence in Medicine ·I. Álvarez, J. M. Górriz, Javier Ramı́rez, Elmar W. Lang, D. Salas-González, Carlos G. Puntonet	7
13	Efficient mining of association rules for the early diagnosis of Alzheimer's disease 2011 ·Physics in Medicine and Biology ·R. Chaves, J. M. Górriz, Javier Ramı́rez, I. Álvarez, D. Salas-González, Manuel Gómez-Río	29
14	Computer aided diagnosis system for the Alzheimer's disease based on partial least squares and random forest SPECT image classification 2010 ·Neuroscience Letters ·Javier Ramı́rez, J. M. Górriz, F. Segovia, R. Chaves, D. Salas-González, M. López, I. Álvarez, Pablo Padilla	98
15	Analysis of SPECT brain images for the diagnosis of Alzheimer's disease based on NMF for feature extraction 2010 ·Neuroscience Letters ·Pablo Padilla, J. M. Górriz, Javier Ramı́rez, Elmar W. Lang, R. Chaves, F. Segovia, M. López, D. Salas-González, I. Álvarez	21
16	Feature selection using factor analysis for Alzheimer's diagnosis using PET images 2010 ·Medical Physics ·D. Salas-González, J. M. Górriz, Javier Ramı́rez, I. Álvarez, M. López, F. Segovia, R. Chaves, Pablo Padilla, Carlos G. Puntonet, (unknown)	60
17	Classification of functional brain images using a GMM-based multi-variate approach 2010 ·Neuroscience Letters ·F. Segovia, J. M. Górriz, Javier Ramı́rez, D. Salas-González, I. Álvarez, M. López, R. Chaves, Pablo Padilla	33
18	Modelling and Assessing Differential Gene Expression Using the Alpha Stable Distribution 2009 ·The International Journal of Biostatistics ·D. Salas-González, Erçan E. Kuruoğlu, Diego P. Ruíz	4
19	SVM-based CAD system for early detection of the Alzheimer's disease using kernel PCA and LDA 2009 ·Neuroscience Letters ·M. López, Javier Ramı́rez, J. M. Górriz, I. Álvarez, D. Salas-González, F. Segovia, R. Chaves	97
20	Neural networks and Principal Component Analysis applied to Automatic Radar Target Recognition based on Natural Resonances. 2008 ·(unknown), D. Salas-González, Diego P. Ruíz, M.C. Carrión	1

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.

Explore authors with similar magnitude of impact