I. Álvarez

3.5k total citations
75 papers, 2.2k citations indexed

About

I. Álvarez is a scholar working on Computer Vision and Pattern Recognition, Neurology and Artificial Intelligence. According to data from OpenAlex, I. Álvarez has authored 75 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Computer Vision and Pattern Recognition, 21 papers in Neurology and 18 papers in Artificial Intelligence. Recurrent topics in I. Álvarez's work include Medical Image Segmentation Techniques (22 papers), Image Retrieval and Classification Techniques (22 papers) and Brain Tumor Detection and Classification (20 papers). I. Álvarez is often cited by papers focused on Medical Image Segmentation Techniques (22 papers), Image Retrieval and Classification Techniques (22 papers) and Brain Tumor Detection and Classification (20 papers). I. Álvarez collaborates with scholars based in Spain, Germany and United States. I. Álvarez's co-authors include J. M. Górriz, Javier Ramı́rez, D. Salas-González, F. Segovia, M. López, R. Chaves, Carlos G. Puntonet, Pablo Padilla, Manuel Gómez-Río and Francisco J. Martínez-Murcia and has published in prestigious journals such as NeuroImage, Expert Systems with Applications and IEEE Access.

In The Last Decade

I. Álvarez

74 papers receiving 2.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
I. Álvarez Spain 30 752 714 515 431 422 75 2.2k
F. Segovia Spain 26 621 0.8× 668 0.9× 459 0.9× 461 1.1× 435 1.0× 82 2.0k
D. Salas-González Spain 31 983 1.3× 872 1.2× 656 1.3× 398 0.9× 424 1.0× 92 2.5k
M. López Spain 22 562 0.7× 591 0.8× 387 0.8× 367 0.9× 334 0.8× 42 1.7k
Manhua Liu China 31 999 1.3× 1.2k 1.7× 889 1.7× 459 1.1× 785 1.9× 103 3.5k
Kim‐Han Thung United States 22 552 0.7× 411 0.6× 597 1.2× 352 0.8× 344 0.8× 57 1.9k
Vikas Singh United States 26 995 1.3× 267 0.4× 544 1.1× 319 0.7× 385 0.9× 120 2.5k
Rémi Cuingnet France 12 498 0.7× 579 0.8× 278 0.5× 425 1.0× 669 1.6× 23 1.6k
Carlos G. Puntonet Spain 26 532 0.7× 323 0.5× 475 0.9× 368 0.9× 200 0.5× 109 2.1k
Francisco J. Martínez-Murcia Spain 21 238 0.3× 314 0.4× 264 0.5× 304 0.7× 183 0.4× 62 1.3k

Countries citing papers authored by I. Álvarez

Since Specialization
Citations

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

Fields of papers citing papers by I. Álvarez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of I. Álvarez

This figure shows the co-authorship network connecting the top 25 collaborators of I. Álvarez. A scholar is included among the top collaborators of I. Álvarez 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 I. Álvarez. I. Álvarez 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.
Martínez-Murcia, Francisco J., Juan E. Arco, C. Jiménez-Mesa, et al.. (2024). Bridging Imaging and Clinical Scores in Parkinson’s Progression via Multimodal Self-Supervised Deep Learning. International Journal of Neural Systems. 34(8). 2450043–2450043. 7 indexed citations
2.
Segovia, F., Javier Ramı́rez, D. Salas-González, et al.. (2023). Connected system for monitoring electrical power transformers using thermal imaging. Integrated Computer-Aided Engineering. 30(4). 353–368. 3 indexed citations
3.
Castillo-Barnés, Diego, Li Su, Javier Ramı́rez, et al.. (2020). Autosomal dominantly inherited alzheimer disease: Analysis of genetic subgroups by machine learning. Information Fusion. 58. 153–167. 15 indexed citations
4.
Álvarez, I., Javier Ramı́rez, J. M. Górriz, et al.. (2018). Automated Detection and Segmentation of Nonmass-Enhancing Breast Tumors with Dynamic Contrast-Enhanced Magnetic Resonance Imaging. Contrast Media & Molecular Imaging. 2018. 1–11. 14 indexed citations
5.
Meyer‐Baese, Anke, Rodney G. Roberts, I. Álvarez, et al.. (2017). Dynamical Graph Theory Networks Methods for the Analysis of Sparse Functional Connectivity Networks and for Determining Pinning Observability in Brain Networks. Frontiers in Computational Neuroscience. 11. 87–87. 8 indexed citations
6.
Castillo-Barnés, Diego, Francisco J. Martínez-Murcia, F. Segovia, et al.. (2017). A Heavy Tailed Expectation Maximization Hidden Markov Random Field Model with Applications to Segmentation of MRI. Frontiers in Neuroinformatics. 11. 66–66. 3 indexed citations
7.
Martínez-Murcia, Francisco J., J. M. Górriz, Javier Ramı́rez, et al.. (2017). Functional Brain Imaging Synthesis Based on Image Decomposition and Kernel Modeling: Application to Neurodegenerative Diseases. Frontiers in Neuroinformatics. 11. 65–65. 11 indexed citations
8.
Ramı́rez, Javier, J. M. Górriz, Andrés Ortíz, et al.. (2017). Ensemble of random forests One vs. Rest classifiers for MCI and AD prediction using ANOVA cortical and subcortical feature selection and partial least squares. Journal of Neuroscience Methods. 302. 47–57. 56 indexed citations
9.
Segovia, F., I. Álvarez, J. M. Górriz, et al.. (2015). Distinguishing Parkinson's disease from atypical parkinsonian syndromes using PET data and a computer system based on support vector machines and Bayesian networks. Frontiers in Computational Neuroscience. 9. 137–137. 23 indexed citations
10.
Ortíz, Andrés, Jorge Munilla, I. Álvarez, J. M. Górriz, & Javier Ramı́rez. (2015). Exploratory graphical models of functional and structural connectivity patterns for Alzheimer's Disease diagnosis. Frontiers in Computational Neuroscience. 9. 132–132. 44 indexed citations
11.
Segovia, F., I. Álvarez, D. Salas-González, et al.. (2014). PETRA: Multivariate analyses for neuroimaging data. Open Repository and Bibliography (University of Liège). 1302–1312. 2 indexed citations
12.
Segovia, F., et al.. (2012). Automatic differentiation between controls and Parkinson's disease DaTSCAN images using a Partial Least Squares scheme and the Fisher Discriminant Ratio.. 2241–2250. 3 indexed citations
13.
Salas-González, D., J. M. Górriz, Javier Ramı́rez, I. Álvarez, & Elmar W. Lang. (2012). Linear intensity normalization of FP-CIT SPECT brain images using the α-stable distribution. NeuroImage. 65. 449–455. 29 indexed citations
14.
Álvarez, I., J. M. Górriz, Javier Ramı́rez, et al.. (2012). Bilateral symmetry aspects in computer-aided Alzheimer's disease diagnosis by single-photon emission-computed tomography imaging. Artificial Intelligence in Medicine. 56(3). 191–198. 7 indexed citations
15.
Chaves, R., J. M. Górriz, Javier Ramı́rez, et al.. (2011). Efficient mining of association rules for the early diagnosis of Alzheimer's disease. Physics in Medicine and Biology. 56(18). 6047–6063. 29 indexed citations
16.
Ramı́rez, Javier, J. M. Górriz, F. Segovia, et al.. (2010). Computer aided diagnosis system for the Alzheimer's disease based on partial least squares and random forest SPECT image classification. Neuroscience Letters. 472(2). 99–103. 98 indexed citations
17.
Padilla, Pablo, J. M. Górriz, Javier Ramı́rez, et al.. (2010). Analysis of SPECT brain images for the diagnosis of Alzheimer's disease based on NMF for feature extraction. Neuroscience Letters. 479(3). 192–196. 21 indexed citations
18.
Salas-González, D., J. M. Górriz, Javier Ramı́rez, et al.. (2010). Feature selection using factor analysis for Alzheimer's diagnosis using PET images. Medical Physics. 37(11). 6084–6095. 60 indexed citations
19.
Segovia, F., J. M. Górriz, Javier Ramı́rez, et al.. (2010). Classification of functional brain images using a GMM-based multi-variate approach. Neuroscience Letters. 474(1). 58–62. 33 indexed citations
20.
López, M., Javier Ramı́rez, J. M. Górriz, et al.. (2009). SVM-based CAD system for early detection of the Alzheimer's disease using kernel PCA and LDA. Neuroscience Letters. 464(3). 233–238. 97 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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