David Helbert

1.0k total citations
28 papers, 249 citations indexed

About

David Helbert is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Computational Mechanics. According to data from OpenAlex, David Helbert has authored 28 papers receiving a total of 249 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 10 papers in Media Technology and 6 papers in Computational Mechanics. Recurrent topics in David Helbert's work include Advanced Image Fusion Techniques (6 papers), Advanced Vision and Imaging (6 papers) and Image and Signal Denoising Methods (5 papers). David Helbert is often cited by papers focused on Advanced Image Fusion Techniques (6 papers), Advanced Vision and Imaging (6 papers) and Image and Signal Denoising Methods (5 papers). David Helbert collaborates with scholars based in France, Algeria and United States. David Helbert's co-authors include Fabien Courrèges, Jean‐Pierre Cances, Philippe Carré, Pascal Bourdon, Christine Fernández-Maloigne, Noël Richard, Christophe Habas, Rémy Guillevin, Agnès Desfarges‐Berthelemot and Nicolas Leveziel and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Image Processing and International Journal of Remote Sensing.

In The Last Decade

David Helbert

27 papers receiving 230 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Helbert France 9 147 64 31 26 25 28 249
Ajay Kumar Boyat India 6 203 1.4× 110 1.7× 45 1.5× 9 0.3× 25 1.0× 9 320
Sylvain Fischer Spain 9 242 1.6× 163 2.5× 24 0.8× 24 0.9× 30 1.2× 14 321
Chia-Hsien Wen Taiwan 11 150 1.0× 148 2.3× 32 1.0× 21 0.8× 32 1.3× 33 348
Y. J. Zhang China 7 158 1.1× 57 0.9× 51 1.6× 14 0.5× 19 0.8× 13 277
Yuzhi Wang China 9 208 1.4× 133 2.1× 15 0.5× 13 0.5× 39 1.6× 11 300
Phil Sallee United States 8 247 1.7× 52 0.8× 53 1.7× 45 1.7× 24 1.0× 14 347
Illya Bakurov Portugal 6 98 0.7× 46 0.7× 65 2.1× 11 0.4× 13 0.5× 16 254
Shiqiang Ma China 7 175 1.2× 34 0.5× 55 1.8× 22 0.8× 13 0.5× 21 263
Tang Yu China 2 122 0.8× 34 0.5× 24 0.8× 19 0.7× 11 0.4× 2 210
George Paschos United States 6 297 2.0× 125 2.0× 45 1.5× 8 0.3× 20 0.8× 13 402

Countries citing papers authored by David Helbert

Since Specialization
Citations

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

Fields of papers citing papers by David Helbert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Helbert

This figure shows the co-authorship network connecting the top 25 collaborators of David Helbert. A scholar is included among the top collaborators of David Helbert 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 David Helbert. David Helbert 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.
Helbert, David, et al.. (2024). Machine learning-driven complex models for wavefront shaping through multimode fibers. Optical Fiber Technology. 88. 104017–104017. 2 indexed citations
2.
Helbert, David, et al.. (2023). Multivariate curve resolution with autoencoders for CARS microspectroscopy. Electronic Imaging. 35(14). 168–1. 1 indexed citations
3.
Bourdon, Pascal, et al.. (2023). Face expression understanding by geometrical characterization of deep human face representation. Electronic Imaging. 35(9). 292–1. 1 indexed citations
4.
Courrèges, Fabien, et al.. (2022). Computer Vision and Image Understanding. SSRN Electronic Journal. 89 indexed citations
5.
Duponchel, Ludovic, Vincent Sol, Jean‐Michel Petit, et al.. (2022). Coherent anti-Stokes Raman scattering cell imaging and segmentation with unsupervised data analysis. Frontiers in Cell and Developmental Biology. 10. 933897–933897. 7 indexed citations
6.
Huy, Quang, et al.. (2021). 7T MRI super-resolution with Generative Adversarial Network. Electronic Imaging. 33(18). 106–1. 7 indexed citations
7.
Bourdon, Pascal, et al.. (2021). Investigating efficient CNN architecture for multiple sclerosis lesion segmentation. Journal of Medical Imaging. 8(1). 14504–14504. 12 indexed citations
8.
Bourdon, Pascal, et al.. (2020). Learning a CNN on multiple sclerosis lesion segmentation with self-supervision. Electronic Imaging. 32(17). 3–1. 4 indexed citations
9.
Helbert, David, et al.. (2019). Compressive Color Pattern Detection Using Partial Orthogonal Circulant Sensing Matrix. IEEE Transactions on Image Processing. 29. 670–678. 8 indexed citations
10.
Bourdon, Pascal, et al.. (2019). Confidence-based dynamic optimization model for biomedical image mosaicking. Journal of the Optical Society of America A. 36(11). C28–C28. 3 indexed citations
11.
Helbert, David, et al.. (2019). Patch graph-based wavelet inpainting for color images. Journal of Visual Communication and Image Representation. 64. 102614–102614. 5 indexed citations
12.
Helbert, David, et al.. (2019). Hyperspectral image classification using graph-based wavelet transform. International Journal of Remote Sensing. 41(7). 2624–2643. 8 indexed citations
13.
Bourdon, Pascal, et al.. (2018). Sampling strategies for performance improvement in cascaded face regression. Journal of Visual Communication and Image Representation. 55. 841–852. 1 indexed citations
14.
Amine, Abdelmalek, et al.. (2018). Detection of Urban Areas using Genetic Algorithms and Kohonen Maps on Multispectral images. HAL (Le Centre pour la Communication Scientifique Directe). 8(1). 46–62. 2 indexed citations
15.
Bourdon, Pascal & David Helbert. (2017). A data-driven approach to feature space selection for robust micro-endoscopic image reconstruction. HAL (Le Centre pour la Communication Scientifique Directe). 81. 2239–2243. 1 indexed citations
16.
Helbert, David, et al.. (2017). Neovascularization detection in diabetic retinopathy from fluorescein angiograms. Journal of Medical Imaging. 4(4). 1–1. 3 indexed citations
17.
Richard, Noël, et al.. (2016). Pseudo-Divergence and Bidimensional Histogram of Spectral Differences for Hyperspectral Image Processing. Journal of Imaging Science and Technology. 60(5). 50402–1. 11 indexed citations
18.
Helbert, David, et al.. (2008). Photometric reconstruction of a dynamic textured surface from just one color image acquisition. Journal of the Optical Society of America A. 25(3). 566–566. 13 indexed citations
19.
Helbert, David, et al.. (2006). 3-D Discrete Analytical Ridgelet Transform. IEEE Transactions on Image Processing. 15(12). 3701–3714. 9 indexed citations
20.
Carré, Philippe & David Helbert. (2005). Ridgelet decomposition: discrete implementation and color denoising. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6001. 60010F–60010F. 4 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Ajay Kumar Boyat Breakdown of academic impact, for papers by Sylvain Fischer Breakdown of academic impact, for papers by Chia-Hsien Wen Breakdown of academic impact, for papers by Y. J. Zhang Breakdown of academic impact, for papers by Yuzhi Wang Breakdown of academic impact, for papers by Phil Sallee Breakdown of academic impact, for papers by Illya Bakurov Breakdown of academic impact, for papers by Shiqiang Ma Breakdown of academic impact, for papers by Tang Yu Breakdown of academic impact, for papers by George Paschos
Rankless by CCL
2026