Óscar Déniz
- Computer Vision and Pattern Recognition top 0.5%
- Artificial Intelligence top 1%
- Signal Processing top 5%
- Media Technology top 2%
- Radiology, Nuclear Medicine and Imaging top 10%
- Co-authors
- Gloria BuenoJesús SalidoModesto Castrillón-SantanaFernando De la TorreM. HernándezNoelia VállezM. Milagro Fernández-CarroblesGabriel Cristóbal
- Topics
- Anomaly Detection Techniques and Applications (24 papers)AI in cancer detection (24 papers)Face and Expression Recognition (14 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEIEEE Transactions on Image Processing
- Partner nations
- SpainUnited StatesUnited Kingdom
In The Last Decade
Óscar Déniz
102 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 166
- Computer Vision and Pattern Recognition 1.4k
- Artificial Intelligence 891
- Signal Processing 231
- Media Technology 218
- Radiology, Nuclear Medicine and Imaging 210
Countries citing papers authored by Óscar Déniz
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 46 | |
| 3 | 13 | |
| 4 | 3 | |
| 5 | 14 | |
| 6 | 37 | |
| 7 | 26 | |
| 8 | 4 | |
| 9 | 18 | |
| 10 | 13 | |
| 11 | 16 | |
| 12 | 42 | |
| 13 | 1 | |
| 14 | A CAD System for the Acquisition and Classification of Breast TMA in Pathology. | 6 |
| 15 | Fast violence detection in video | 1 |
| 16 | VISILAB at MediaEval 2013: Fight Detection. | 5 |
| 17 | 12 | |
| 18 | Security System Based on Suspicious Behavior Detection | 2 |
| 19 | 9 | |
| 20 | BDIE: a BDI like architecture with emotional capabilities | 6 |
About Óscar Déniz
Óscar Déniz is a scholar working on Computer Vision and Pattern Recognition, Biophysics and Artificial Intelligence, having authored 112 papers that have together received 2.4k indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (24 papers), AI in cancer detection (24 papers) and Face and Expression Recognition (14 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.4k citations), Biophysics (194 citations) and Artificial Intelligence (891 citations). Óscar Déniz has collaborated with scholars based in Spain, United States and United Kingdom. Frequent 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. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Image Processing.
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.