Sira Ferradans

660 total citations
17 papers, 257 citations indexed

About

Sira Ferradans is a scholar working on Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics and Artificial Intelligence. According to data from OpenAlex, Sira Ferradans has authored 17 papers receiving a total of 257 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 5 papers in Atomic and Molecular Physics, and Optics and 5 papers in Artificial Intelligence. Recurrent topics in Sira Ferradans's work include Image Enhancement Techniques (6 papers), Color Science and Applications (5 papers) and Advanced Image Fusion Techniques (3 papers). Sira Ferradans is often cited by papers focused on Image Enhancement Techniques (6 papers), Color Science and Applications (5 papers) and Advanced Image Fusion Techniques (3 papers). Sira Ferradans collaborates with scholars based in Spain, France and United States. Sira Ferradans's co-authors include Jean–François Aujol, Gabriel Peyré, Edoardo Provenzi, Nicolas Papadakis, Marcelo Bertalmı́o, Vicent Caselles, Gui-Song Xia, Houda Bouamor, Fabien Gouyon and Pedro Cano and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition Letters and SIAM Journal on Imaging Sciences.

In The Last Decade

Sira Ferradans

13 papers receiving 227 citations

Peers

Sira Ferradans
Alfredo Restrepo Colombia
M.J. Fadili France
H. Rom United States
Shaoyang Zhu United States
Si Li China
Gregory W. Cook United States
T. Simchony United States
Basarab Mateï France
Steven Bergner Canada
Victor Lempitsky Russia
Alfredo Restrepo Colombia
Sira Ferradans
Citations per year, relative to Sira Ferradans Sira Ferradans (= 1×) peers Alfredo Restrepo

Countries citing papers authored by Sira Ferradans

Since Specialization
Citations

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

Fields of papers citing papers by Sira Ferradans

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sira Ferradans

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

All Works

17 of 17 papers shown
1.
Ferradans, Sira, et al.. (2025). Generalized portrait quality assessment. Pattern Recognition Letters. 189. 122–128.
2.
Ferradans, Sira, et al.. (2024). From Video Conferences to DSLRs: An In-depth Texture Evaluation with Realistic Mannequins. Electronic Imaging. 36(9). 261–1.
3.
Ferradans, Sira, et al.. (2023). Noise quality estimation on portraits in realistic controlled scenarios. Electronic Imaging. 35(8). 316–1. 1 indexed citations
4.
Ferradans, Sira, et al.. (2023). An Image Quality Assessment Dataset for Portraits. 9968–9978. 7 indexed citations
5.
Maarouf, Ismaïl El, et al.. (2020). Automatic Table-of-Contents Generation for Efficient Information Access. SN Computer Science. 1(5).
6.
Bouamor, Houda, et al.. (2019). The FinSBD-2019 Shared Task: Sentence Boundary Detection in PDF Noisy Text in the Financial Domain. 74–80. 13 indexed citations
7.
Ferradans, Sira, et al.. (2019). The FinTOC-2019 Shared Task: Financial Document Structure Extraction. 51–57. 13 indexed citations
8.
Ferradans, Sira, et al.. (2018). Sentence Classification for Investment Rules Detection. 44–48. 2 indexed citations
9.
Ferradans, Sira, et al.. (2015). An Algorithmic Analysis of Variational Models for Perceptual Local Contrast Enhancement. Image Processing On Line. 5. 219–233. 13 indexed citations
10.
Xia, Gui-Song, Sira Ferradans, Gabriel Peyré, & Jean–François Aujol. (2014). Synthesizing and Mixing Stationary Gaussian Texture Models. SIAM Journal on Imaging Sciences. 7(1). 476–508. 23 indexed citations
11.
Ferradans, Sira, Nicolas Papadakis, Gabriel Peyré, & Jean–François Aujol. (2014). Regularized Discrete Optimal Transport. SIAM Journal on Imaging Sciences. 7(3). 1853–1882. 87 indexed citations
12.
Ferradans, Sira, et al.. (2012). GENERATION OF HDR IMAGES IN NON-STATIC CONDITIONS BASED ON GRADIENT FUSION. Base Institutionnelle de Recherche de l'université Paris-Dauphine (BIRD) (University Paris-Dauphine). 31–37. 7 indexed citations
13.
Ferradans, Sira, Marcelo Bertalmı́o, Edoardo Provenzi, & Vicent Caselles. (2011). An Analysis of Visual Adaptation and Contrast Perception for Tone Mapping. IEEE Transactions on Pattern Analysis and Machine Intelligence. 33(10). 2002–2012. 75 indexed citations
14.
Ferradans, Sira, Edoardo Provenzi, Marcelo Bertalmı́o, & Vicent Caselles. (2009). TSTM: A two-stage tone mapper combining visual adaptation and local contrast enhancement. University of Minnesota Digital Conservancy (University of Minnesota). 4 indexed citations
15.
Ferradans, Sira, Marcelo Bertalmı́o, Edoardo Provenzi, & Vicent Caselles. (2009). A Multi-Modal Approach to Perceptual Tone Mapping. 21. 81–90. 1 indexed citations
16.
Ferradans, Sira, et al.. (2005). Target detection in LADAR data using robust statistics. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5988. 59880J–59880J. 5 indexed citations
17.
Cano, Pedro, Markus Koppenberger, Sira Ferradans, et al.. (2004). MTG-DB: a repository for music audio processing. 2–9. 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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