Iván González-Díaz

732 total citations
32 papers, 347 citations indexed

About

Iván González-Díaz is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Iván González-Díaz has authored 32 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Vision and Pattern Recognition, 6 papers in Signal Processing and 6 papers in Artificial Intelligence. Recurrent topics in Iván González-Díaz's work include Advanced Image and Video Retrieval Techniques (13 papers), Image Retrieval and Classification Techniques (7 papers) and Visual Attention and Saliency Detection (6 papers). Iván González-Díaz is often cited by papers focused on Advanced Image and Video Retrieval Techniques (13 papers), Image Retrieval and Classification Techniques (7 papers) and Visual Attention and Saliency Detection (6 papers). Iván González-Díaz collaborates with scholars based in Spain, France and United States. Iván González-Díaz's co-authors include Fernando Díaz-de-María, Jenny Benois‐Pineau, Jean‐Philippe Domenger, Daniel Cattaert, Aymar de Rugy, Edward J. Delp, Ascensión Gallardo-Antolín, Gloria Marquina, Vilma Pacheco-Barcía and Elena Castro and has published in prestigious journals such as Expert Systems with Applications, Pattern Recognition and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Iván González-Díaz

32 papers receiving 334 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Iván González-Díaz Spain 11 171 135 115 39 33 32 347
Jiawen Yang China 6 183 1.1× 184 1.4× 150 1.3× 66 1.7× 26 0.8× 12 390
Abdellah Aarab Morocco 11 140 0.8× 128 0.9× 131 1.1× 45 1.2× 34 1.0× 58 324
Samy Bakheet Egypt 10 123 0.7× 116 0.9× 75 0.7× 21 0.5× 18 0.5× 23 350
Maheen Bakhtyar Pakistan 13 179 1.0× 283 2.1× 132 1.1× 51 1.3× 26 0.8× 29 585
Hemprasad Yashwant Patil India 9 123 0.7× 115 0.9× 96 0.8× 49 1.3× 17 0.5× 43 353
Jesús Bescós Spain 11 363 2.1× 107 0.8× 62 0.5× 24 0.6× 43 1.3× 52 497
Nudrat Nida Pakistan 10 162 0.9× 188 1.4× 194 1.7× 61 1.6× 23 0.7× 23 436
Ramesh Sunder Nayak Pakistan 7 111 0.6× 148 1.1× 118 1.0× 38 1.0× 13 0.4× 8 304
Karim Mokrani Algeria 9 117 0.7× 210 1.6× 212 1.8× 65 1.7× 21 0.6× 21 445

Countries citing papers authored by Iván González-Díaz

Since Specialization
Citations

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

Fields of papers citing papers by Iván González-Díaz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Iván González-Díaz

This figure shows the co-authorship network connecting the top 25 collaborators of Iván González-Díaz. A scholar is included among the top collaborators of Iván González-Díaz 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 Iván González-Díaz. Iván González-Díaz 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.
González-Díaz, Iván, et al.. (2024). URI-CADS: A Fully Automated Computer-Aided Diagnosis System for Ultrasound Renal Imaging. Journal of Imaging Informatics in Medicine. 37(4). 1458–1474. 1 indexed citations
2.
González-Díaz, Iván, et al.. (2024). Asymmetric Multi-Task Learning for Interpretable Gaze-Driven Grasping Action Forecasting. IEEE Journal of Biomedical and Health Informatics. 28(12). 7517–7530. 1 indexed citations
3.
4.
González-Díaz, Iván, et al.. (2022). An interpretable CNN-based CAD system for skin lesion diagnosis. Artificial Intelligence in Medicine. 132. 102370–102370. 7 indexed citations
5.
González-Díaz, Iván, Jon Sicilia, Georgiana Crainiciuc, et al.. (2022). ACME: Automatic feature extraction for cell migration examination through intravital microscopy imaging. Medical Image Analysis. 77. 102358–102358. 8 indexed citations
6.
Pacheco-Barcía, Vilma, Andrés J. Muñoz Martín, Elena Castro, et al.. (2022). The Homologous Recombination Deficiency Scar in Advanced Cancer: Agnostic Targeting of Damaged DNA Repair. Cancers. 14(12). 2950–2950. 14 indexed citations
7.
González-Díaz, Iván, et al.. (2020). Training deep retrieval models with noisy datasets: Bag exponential loss. Pattern Recognition. 112. 107811–107811. 2 indexed citations
8.
Fernández‐Torres, Miguel‐Ángel, Iván González-Díaz, & Fernando Díaz-de-María. (2019). Probabilistic Topic Model for Context-Driven Visual Attention Understanding. IEEE Transactions on Circuits and Systems for Video Technology. 30(6). 1653–1667. 3 indexed citations
9.
González-Díaz, Iván, et al.. (2019). Finding landmarks within settled areas using hierarchical density-based clustering and meta-data from publicly available images. Expert Systems with Applications. 123. 315–327. 11 indexed citations
10.
11.
González-Díaz, Iván, et al.. (2016). Neighborhood Matching for Image Retrieval. IEEE Transactions on Multimedia. 19(3). 544–558. 20 indexed citations
12.
González-Díaz, Iván, et al.. (2016). Perceptual modeling in the problem of active object recognition in visual scenes. Pattern Recognition. 56. 129–141. 19 indexed citations
13.
Fernández‐Torres, Miguel‐Ángel, Iván González-Díaz, & Fernando Díaz-de-María. (2016). A probabilistic topic approach for context-aware visual attention modeling. e-Archivo (Carlos III University of Madrid). 4. 1–6. 1 indexed citations
14.
González-Díaz, Iván, et al.. (2015). Goal-oriented top-down probabilistic visual attention model for recognition of manipulated objects in egocentric videos. Signal Processing Image Communication. 39. 418–431. 10 indexed citations
15.
Jiménez-Moreno, Amaya, et al.. (2014). A Bayesian model for brain tumor classification using clinical-based features. e-Archivo (Carlos III University of Madrid). 2779–2783. 3 indexed citations
16.
González-Díaz, Iván, et al.. (2014). Temporal segmentation and keyframe selection methods for user-generated video search-based annotation. Expert Systems with Applications. 42(1). 488–502. 11 indexed citations
17.
González-Díaz, Iván, et al.. (2009). A spatially aware generative model for image classification, topic discovery and segmentation. 3. 781–784. 4 indexed citations
18.
González-Díaz, Iván & Fernando Díaz-de-María. (2008). Adaptive Multipattern Fast Block-Matching Algorithm Based on Motion Classification Techniques. IEEE Transactions on Circuits and Systems for Video Technology. 18(10). 1369–1382. 4 indexed citations
19.
González-Díaz, Iván & Fernando Díaz-de-María. (2007). Improved Motion Classification Techniques for Adaptive Multi-Pattern Fast Block-Matching Algorithm. II – 485. 3 indexed citations
20.
González-Díaz, Iván, et al.. (2007). A Rate Control Algorithm for Low-Delay H.264 Video Coding with Stored-B Pictures. e-Archivo (Carlos III University of Madrid). I–1153. 1 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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