Steve De Backer

1.7k total citations
53 papers, 1.2k citations indexed

About

Steve De Backer is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Ecology. According to data from OpenAlex, Steve De Backer has authored 53 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computer Vision and Pattern Recognition, 23 papers in Media Technology and 9 papers in Ecology. Recurrent topics in Steve De Backer's work include Remote-Sensing Image Classification (19 papers), Image and Signal Denoising Methods (15 papers) and Advanced Image Fusion Techniques (12 papers). Steve De Backer is often cited by papers focused on Remote-Sensing Image Classification (19 papers), Image and Signal Denoising Methods (15 papers) and Advanced Image Fusion Techniques (12 papers). Steve De Backer collaborates with scholars based in Belgium, United Kingdom and United States. Steve De Backer's co-authors include Paul Scheunders, Jan Sijbers, Yifan Zhang, Alexander Leemans, Paul M. Parizel, Wim Van Hecke, D. Van Dyck, Jeny Rajan, Emiliano D’Agostino and E. Vandervliet and has published in prestigious journals such as NeuroImage, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.

In The Last Decade

Steve De Backer

47 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Steve De Backer Belgium 18 430 417 398 139 98 53 1.2k
Letícia Rittner Brazil 16 338 0.8× 208 0.5× 214 0.5× 110 0.8× 112 1.1× 83 940
Mariano Cabezas Spain 20 495 1.2× 176 0.4× 761 1.9× 267 1.9× 60 0.6× 40 1.7k
Rui Feng China 19 248 0.6× 146 0.4× 465 1.2× 247 1.8× 28 0.3× 91 1.3k
Steve R. Gunn United Kingdom 15 467 1.1× 245 0.6× 214 0.5× 114 0.8× 14 0.1× 34 1.3k
Hamid Abrishami Moghaddam Iran 23 379 0.9× 254 0.6× 823 2.1× 314 2.3× 78 0.8× 108 1.7k
Dan Hu China 17 106 0.2× 422 1.0× 258 0.6× 191 1.4× 66 0.7× 95 1.1k
Fabrice Heitz France 22 348 0.8× 250 0.6× 1.1k 2.9× 269 1.9× 16 0.2× 100 1.7k
Rongjian Li China 12 403 0.9× 123 0.3× 541 1.4× 425 3.1× 54 0.6× 42 1.5k
Jian Cheng China 23 426 1.0× 170 0.4× 890 2.2× 234 1.7× 52 0.5× 99 1.7k
Xin Xu China 22 178 0.4× 312 0.7× 1.0k 2.5× 333 2.4× 38 0.4× 154 1.9k

Countries citing papers authored by Steve De Backer

Since Specialization
Citations

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

Fields of papers citing papers by Steve De Backer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steve De Backer. 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 Steve De Backer. The network helps show where Steve De Backer may publish in the future.

Co-authorship network of co-authors of Steve De Backer

This figure shows the co-authorship network connecting the top 25 collaborators of Steve De Backer. A scholar is included among the top collaborators of Steve De Backer 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 Steve De Backer. Steve De Backer 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.
2.
Praet, Jelle, Nikolay V. Manyakov, Leacky Muchene, et al.. (2018). Diffusion kurtosis imaging allows the early detection and longitudinal follow-up of amyloid-β-induced pathology. Alzheimer s Research & Therapy. 10(1). 1–1. 76 indexed citations
3.
Nath, Tanmay, Gerit Arne Linneweber, Annelies Claeys, et al.. (2018). A simple computer vision pipeline reveals the effects of isolation on social interaction dynamics in Drosophila. PLoS Computational Biology. 14(8). e1006410–e1006410. 20 indexed citations
4.
Sijbers, Jan, et al.. (2010). Machine learning study of several classifiers trained with texture analysis features to differentiate benign from malignant soft‐tissue tumors in T1‐MRI images. Journal of Magnetic Resonance Imaging. 31(3). 680–689. 113 indexed citations
5.
Hecke, Wim Van, Jan Sijbers, Steve De Backer, et al.. (2009). On the construction of a ground truth framework for evaluating voxel-based diffusion tensor MRI analysis methods. NeuroImage. 46(3). 692–707. 48 indexed citations
6.
Hecke, Wim Van, Alexander Leemans, Steve De Backer, et al.. (2009). Comparing isotropic and anisotropic smoothing for voxel‐based DTI analyses: A simulation study. Human Brain Mapping. 31(1). 98–114. 86 indexed citations
7.
Zhang, Yifan, Steve De Backer, & Paul Scheunders. (2009). Noise-Resistant Wavelet-Based Bayesian Fusion of Multispectral and Hyperspectral Images. IEEE Transactions on Geoscience and Remote Sensing. 47(11). 3834–3843. 182 indexed citations
8.
Verdoolaege, Geert, Steve De Backer, & Paul Scheunders. (2008). Geodesic distance between multivariate generalized Gaussian models of image wavelet statistics: an application to colour texture retrieval. Ghent University Academic Bibliography (Ghent University). 2 indexed citations
9.
Broek, Wouter Van den, Johan Verbeeck, D. Schryvers, Steve De Backer, & Paul Scheunders. (2008). Tomographic spectroscopic imaging; an experimental proof of concept. Ultramicroscopy. 109(4). 296–303. 1 indexed citations
10.
Kempeneers, Pieter, Pablo J. Zarco‐Tejada, Peter North, et al.. (2008). Model inversion for chlorophyll estimation in open canopies from hyperspectral imagery. International Journal of Remote Sensing. 29(17-18). 5093–5111. 29 indexed citations
11.
Hecke, Wim Van, Jan Sijbers, Emiliano D’Agostino, et al.. (2008). On the construction of an inter-subject diffusion tensor magnetic resonance atlas of the healthy human brain. NeuroImage. 43(1). 69–80. 73 indexed citations
12.
Cornelissen, Frans W., Steve De Backer, Jan Lemeire, et al.. (2008). Fibered fluorescence microscopy (FFM) of intra epidermal nerve fibers--translational marker for peripheral neuropathies in preclinical research: processing and analysis of the data. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7073. 70731C–70731C. 2 indexed citations
13.
Hecke, Wim Van, Alexander Leemans, Emiliano D’Agostino, et al.. (2007). Nonrigid Coregistration of Diffusion Tensor Images Using a Viscous Fluid Model and Mutual Information. IEEE Transactions on Medical Imaging. 26(11). 1598–1612. 89 indexed citations
14.
Scheunders, Paul & Steve De Backer. (2007). Wavelet Denoising of Multicomponent Images Using Gaussian Scale Mixture Models and a Noise-Free Image as Priors. IEEE Transactions on Image Processing. 16(7). 1865–1872. 50 indexed citations
15.
Scheunders, Paul, et al.. (2007). Bayesian wavelet-based denoising of multicomponent images. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6763. 67630K–67630K. 1 indexed citations
16.
Leemans, Alexander, Jan Sijbers, Steve De Backer, E. Vandervliet, & Paul M. Parizel. (2006). Multiscale white matter fiber tract coregistration: A new feature‐based approach to align diffusion tensor data. Magnetic Resonance in Medicine. 55(6). 1414–1423. 35 indexed citations
17.
Kempeneers, Pieter, Steve De Backer, Walter Debruyn, Pol Coppin, & Paul Scheunders. (2005). Generic wavelet-based hyperspectral classification applied to vegetation stress detection. IEEE Transactions on Geoscience and Remote Sensing. 43(3). 610–614. 32 indexed citations
18.
Broek, Wouter Van den, Johan Verbeeck, Steve De Backer, Paul Scheunders, & D. Schryvers. (2005). Acquisition of the EELS data cube by tomographic reconstruction. Ultramicroscopy. 106(4-5). 269–276. 5 indexed citations
19.
Scheunders, Paul & Steve De Backer. (2001). Fusion and merging of multispectral images with use of multiscale fundamental forms. Journal of the Optical Society of America A. 18(10). 2468–2468. 34 indexed citations
20.
Backer, Steve De, et al.. (1998). Non-linear dimensionality reduction techniques for unsupervised feature extraction. Pattern Recognition Letters. 19(8). 711–720. 42 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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