Óscar Déniz

7.6k total citations · 1 hit paper
112 papers, 2.4k citations indexed

About

Óscar Déniz is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Óscar Déniz has authored 112 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Computer Vision and Pattern Recognition, 54 papers in Artificial Intelligence and 13 papers in Media Technology. Recurrent topics in Óscar Déniz's work include Anomaly Detection Techniques and Applications (24 papers), AI in cancer detection (24 papers) and Face and Expression Recognition (14 papers). Óscar Déniz is often cited by papers focused on Anomaly Detection Techniques and Applications (24 papers), AI in cancer detection (24 papers) and Face and Expression Recognition (14 papers). Óscar Déniz collaborates with scholars based in Spain, United States and United Kingdom. Óscar Déniz's co-authors include Gloria Bueno, Jesús Salido, Modesto Castrillón-Santana, Fernando De la Torre, M. Hernández, Noelia Vállez, M. Milagro Fernández-Carrobles, Gabriel Cristóbal, Ismael Serrano and Jesús Ruiz-Santaquiteria and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Image Processing.

In The Last Decade

Óscar Déniz

102 papers receiving 2.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Face recognition using Histograms of Oriented Gradients

2011 421 citations Óscar Déniz, Gloria Bueno et al. profile →

Peers

Óscar Déniz

CVPR

AI

SP

MT

RNMI

Takio Kurita Japan

Alexander A. Alemi United States

Gloria Bueno Spain

Juho Kannala Finland

Yanming Guo China

Michael S. Lew Netherlands

Mathilde Caron United States

Costantino Grana Italy

Don Steinkraus United States

Stefan Carlsson Sweden

Takio Kurita Japan

Óscar Déniz

1.3k ×0.9

CVPR

642 ×0.7

AI

200 ×0.9

SP

196 ×0.9

MT

146 ×0.7

RNMI

Citations per year, relative to Óscar Déniz Óscar Déniz (= 1×) peers Takio Kurita

Countries citing papers authored by Óscar Déniz

Since Specialization

Citations

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

Fields of papers citing papers by Óscar Déniz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Óscar Déniz

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

1.

Déniz, Óscar, et al.. (2025). An Analysis of Quality Parameters Changes in Agricultural Water Systems with Wavelet Transform Model. Water. 17(5). 662–662.

2.

Singh, Simrandeep, Harbinder Singh, Gloria Bueno, et al.. (2023). A review of image fusion: Methods, applications and performance metrics. Digital Signal Processing. 137. 104020–104020. 46 indexed citations

3.

Salido, Jesús, Noelia Vállez, González-López Lucía, Óscar Déniz, & Gloria Bueno. (2023). Comparison of deep learning models for digital H&E staining from unpaired label-free multispectral microscopy images. Computer Methods and Programs in Biomedicine. 235. 107528–107528. 13 indexed citations

4.

Vállez, Noelia, José Luís Espinosa-Aranda, Aníbal Pedraza, Óscar Déniz, & Gloria Bueno. (2023). Deep Learning within a DICOM WSI Viewer for Histopathology. Applied Sciences. 13(17). 9527–9527. 3 indexed citations

5.

Ruiz-Santaquiteria, Jesús, et al.. (2022). Improving handgun detection through a combination of visual features and body pose-based data. Pattern Recognition. 136. 109252–109252. 14 indexed citations

6.

Ruiz-Santaquiteria, Jesús, et al.. (2021). Handgun Detection Using Combined Human Pose and Weapon Appearance. IEEE Access. 9. 123815–123826. 37 indexed citations

7.

Salido, Jesús, et al.. (2021). Automatic Handgun Detection with Deep Learning in Video Surveillance Images. Applied Sciences. 11(13). 6085–6085. 26 indexed citations

8.

Vállez, Noelia, et al.. (2020). Automatic Museum Audio Guide. Sensors. 20(3). 779–779. 4 indexed citations

9.

Bueno, Gloria, González-López Lucía, Marcial García‐Rojo, Arvydas Laurinavičius, & Óscar Déniz. (2020). Data for glomeruli characterization in histopathological images. SHILAP Revista de lepidopterología. 29. 105314–105314. 18 indexed citations

10.

Espinosa-Aranda, José Luís, et al.. (2018). Smart Doll: Emotion Recognition Using Embedded Deep Learning. Symmetry. 10(9). 387–387. 13 indexed citations

11.

Déniz, Óscar, Noelia Vállez, José Luís Espinosa-Aranda, et al.. (2017). Eyes of Things. Sensors. 17(5). 1173–1173. 16 indexed citations

12.

Bueno, Gloria, M. Milagro Fernández-Carrobles, Óscar Déniz, & Marcial García‐Rojo. (2016). New Trends of Emerging Technologies in Digital Pathology. Pathobiology. 83(2-3). 61–69. 42 indexed citations

13.

Vállez, Noelia, Óscar Déniz, & Gloria Bueno. (2015). Sample Selection for Training Cascade Detectors. PLoS ONE. 10(7). e0133059–e0133059. 1 indexed citations

14.

Fernández-Carrobles, M. Milagro, Gloria Bueno, Óscar Déniz, et al.. (2015). A CAD System for the Acquisition and Classification of Breast TMA in Pathology.. PubMed. 210. 756–60. 6 indexed citations

15.

Déniz, Óscar, Ismael Serrano, Gloria Bueno, & Tae‐Kyun Kim. (2015). Fast violence detection in video. 2. 478–485. 1 indexed citations

16.

Serrano, Ismael, Óscar Déniz, & Gloria Bueno. (2013). VISILAB at MediaEval 2013: Fight Detection.. MediaEval. 5 indexed citations

17.

Fernández-Carrobles, M. Milagro, Irene Tadeo, Gloria Bueno, et al.. (2013). TMA Vessel Segmentation Based on Color and Morphological Features: Application to Angiogenesis Research. The Scientific World JOURNAL. 2013(1). 263190–263190. 12 indexed citations

18.

Bermejo, Enrique, Óscar Déniz, & Gloria Bueno. (2010). Security System Based on Suspicious Behavior Detection. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 17(25). 12–16. 2 indexed citations

19.

Bueno, Gloria, et al.. (2009). Fast Monte Carlo simulation on a voxelized human phantom deformed to a patient. Medical Physics. 36(11). 5162–5174. 9 indexed citations

20.

Déniz, Óscar, et al.. (2004). BDIE: a BDI like architecture with emotional capabilities. Acceda (Universidad de Las Palmas de Gran Canaria). 6 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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