Xavier Otazu

3.0k total citations · 2 hit papers
40 papers, 2.3k citations indexed

About

Xavier Otazu is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Media Technology. According to data from OpenAlex, Xavier Otazu has authored 40 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Vision and Pattern Recognition, 13 papers in Cognitive Neuroscience and 13 papers in Media Technology. Recurrent topics in Xavier Otazu's work include Visual perception and processing mechanisms (13 papers), Image and Signal Denoising Methods (12 papers) and Advanced Image Fusion Techniques (12 papers). Xavier Otazu is often cited by papers focused on Visual perception and processing mechanisms (13 papers), Image and Signal Denoising Methods (12 papers) and Advanced Image Fusion Techniques (12 papers). Xavier Otazu collaborates with scholars based in Spain, Mexico and Germany. Xavier Otazu's co-authors include O. Fors, J. Núñez, María González-Audícana, Albert Prades, Román Arbiol, Vicenç Palà, C. Alejandro Párraga, María Vanrell, Naila Murray and A. Seco and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

Xavier Otazu

39 papers receiving 2.2k 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.

Multiresolution-based image fusion with additive wavelet decomposition

1999 878 citations J. Núñez, Xavier Otazu et al. profile →
Introduction of sensor spectral response into image fusion methods. Application to wavelet-based methods

2005 684 citations Xavier Otazu, María González-Audícana et al. profile →

Peers

Xavier Otazu

MT

CVPR

AE

BE

AI

David R. Martin United States

Seon Joo Kim South Korea

Min Zhao China

Imari Sato Japan

Hao Zhu China

Jianwei Zheng China

Chunle Guo China

Robert J. Woodham Canada

Fabrizio Argenti Italy

David R. Martin United States

Xavier Otazu

364 ×0.2

MT

1.5k ×1.0

CVPR

164 ×1.0

AE

43 ×0.3

BE

195 ×1.4

AI

Citations per year, relative to Xavier Otazu Xavier Otazu (= 1×) peers David R. Martin

Countries citing papers authored by Xavier Otazu

Since Specialization

Citations

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

Fields of papers citing papers by Xavier Otazu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xavier Otazu

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

Penacchio, Olivier, Xavier Otazu, Arnold J. Wilkins, & Sarah M. Haigh. (2023). A mechanistic account of visual discomfort. Frontiers in Neuroscience. 17. 1200661–1200661. 17 indexed citations

2.

Penacchio, Olivier & Xavier Otazu. (2021). Chromatic Induction in Migraine. Vision. 5(3). 37–37. 1 indexed citations

3.

Otazu, Xavier, et al.. (2021). A Neurodynamic Model of Saliency Prediction in V1. Neural Computation. 34(2). 378–414.

4.

Otazu, Xavier. (2018). Color induction in equiluminant flashed stimuli. Journal of the Optical Society of America A. 36(1). 22–22. 1 indexed citations

5.

Párraga, C. Alejandro & Xavier Otazu. (2018). Which tone-mapping operator is the best? A comparative study of perceptual quality. Journal of the Optical Society of America A. 35(4). 626–626. 26 indexed citations

6.

Fdez-Vidal, Xosé R., et al.. (2018). Psychophysical evaluation of individual low-level feature influences on visual attention. Vision Research. 154. 60–79. 5 indexed citations

7.

Otazu, Xavier, et al.. (2018). The effect of luminance differences on color assimilation. Journal of Vision. 18(11). 10–10. 8 indexed citations

8.

Murray, Naila, María Vanrell, Xavier Otazu, & C. Alejandro Párraga. (2013). Low-Level Spatiochromatic Grouping for Saliency Estimation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 35(11). 2810–2816. 15 indexed citations

9.

Penacchio, Olivier, Xavier Otazu, & Laura Dempere‐Marco. (2013). A Neurodynamical Model of Brightness Induction in V1. PLoS ONE. 8(5). e64086–e64086. 10 indexed citations

10.

Vanrell, María, et al.. (2011). Low-dimensional and comprehensive color texture description. Computer Vision and Image Understanding. 116(1). 54–67. 5 indexed citations

11.

Escobar, Jesús Jaime Moreno & Xavier Otazu. (2011). Image compression algorithm based on Hilbert Scanning of Embedded quadTrees: An introduction of the Hi-SET coder. 1–6. 1 indexed citations

12.

Otazu, Xavier, C. Alejandro Párraga, & María Vanrell. (2010). Toward a unified chromatic induction model. Journal of Vision. 10(12). 5–5. 27 indexed citations

13.

Fors, O., et al.. (2010). Improving the Ability of Image Sensors to Detect Faint Stars and Moving Objects Using Image Deconvolution Techniques. Sensors. 10(3). 1743–1752. 12 indexed citations

14.

Otazu, Xavier, María Vanrell, & C. Alejandro Párraga. (2008). Multiresolution wavelet framework models brightness induction effects. Vision Research. 48(5). 733–751. 35 indexed citations

15.

Fors, O., A. Richichi, Xavier Otazu, & J. Núñez. (2008). A new wavelet-based approach for the automated treatment of large sets of lunar occultation data. Astronomy and Astrophysics. 480(1). 297–304. 6 indexed citations

16.

Fors, O., et al.. (2006). BENEFITS OF IMAGE DECONVOLUTION IN CCD IMAGERY. 25. 50–52. 2 indexed citations

17.

Richichi, A., O. Fors, Xavier Otazu, et al.. (2006). The Calar Alto lunar occultation program: update and new results. Astronomy and Astrophysics. 445(3). 1081–1088. 7 indexed citations

18.

González-Audícana, María, Xavier Otazu, O. Fors, & A. Seco. (2005). Comparison between Mallat's and the ‘à trous’ discrete wavelet transform based algorithms for the fusion of multispectral and panchromatic images. International Journal of Remote Sensing. 26(3). 595–614. 141 indexed citations

19.

Otazu, Xavier, M. Ribó, J. M. Paredes, M. Peracaula, & J. Núñez. (2004). Multiresolution approach for period determination on unevenly sampled data. Monthly Notices of the Royal Astronomical Society. 351(1). 215–219. 4 indexed citations

20.

Otazu, Xavier, M. Ribó, M. Peracaula, J. M. Paredes, & J. Núñez. (2002). Detection of superimposed periodic signals using wavelets. Dipòsit Digital de la Universitat de Barcelona (Universitat de Barcelona). 9 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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