Demetrio Labate

6.3k total citations · 2 hit papers
124 papers, 3.9k citations indexed

About

Demetrio Labate is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Applied Mathematics. According to data from OpenAlex, Demetrio Labate has authored 124 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Computer Vision and Pattern Recognition, 31 papers in Media Technology and 26 papers in Applied Mathematics. Recurrent topics in Demetrio Labate's work include Image and Signal Denoising Methods (50 papers), Mathematical Analysis and Transform Methods (26 papers) and Advanced Image Fusion Techniques (23 papers). Demetrio Labate is often cited by papers focused on Image and Signal Denoising Methods (50 papers), Mathematical Analysis and Transform Methods (26 papers) and Advanced Image Fusion Techniques (23 papers). Demetrio Labate collaborates with scholars based in United States, Italy and Netherlands. Demetrio Labate's co-authors include Kanghui Guo, Glenn R. Easley, Wang‐Q Lim, Gitta Kutyniok, Guido Weiss, Flavia Colonna, Hamid Krim, Yi Sheng, Edward N. Wilson and Eugenio Hernández and has published in prestigious journals such as Nature Communications, PLoS ONE and Scientific Reports.

In The Last Decade

Demetrio Labate

115 papers receiving 3.7k 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.

Sparse directional image representations using the discrete shearlet transform

2007 793 citations Glenn R. Easley, Demetrio Labate et al. Applied and Computational Harmonic Analysis profile →
Optimally Sparse Multidimensional Representation Using Shearlets

2007 467 citations Kanghui Guo, Demetrio Labate profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Demetrio Labate United States	27	2.7k	1.6k	811	629	348	124	3.9k
Laurent Demanet United States	21	1.8k 0.7×	753 0.5×	196 0.2×	639 1.0×	259 0.7×	74	3.5k
Wang‐Q Lim Germany	11	1.5k 0.6×	1.0k 0.6×	234 0.3×	301 0.5×	169 0.5×	26	1.9k
Gilles Aubert France	28	4.4k 1.7×	1.0k 0.6×	168 0.2×	1.5k 2.5×	623 1.8×	105	5.9k
Pier Luigi Dragotti United Kingdom	31	2.6k 1.0×	774 0.5×	370 0.5×	1.3k 2.0×	772 2.2×	225	4.9k
Thierry Blu Hong Kong	25	1.8k 0.7×	341 0.2×	543 0.7×	1.5k 2.5×	478 1.4×	133	4.0k
Glenn R. Easley United States	14	1.2k 0.4×	830 0.5×	194 0.2×	505 0.8×	154 0.4×	48	1.9k
Lixin Shen United States	27	1.6k 0.6×	488 0.3×	172 0.2×	1.1k 1.7×	207 0.6×	123	2.9k
R.M. Mersereau United States	35	4.7k 1.8×	1.7k 1.1×	180 0.2×	692 1.1×	528 1.5×	186	6.9k
Mladen Victor Wickerhauser United States	16	2.0k 0.8×	399 0.2×	247 0.3×	441 0.7×	155 0.4×	58	4.0k
D.M. Healy United States	16	1.1k 0.4×	379 0.2×	233 0.3×	279 0.4×	218 0.6×	32	2.0k

Countries citing papers authored by Demetrio Labate

Since Specialization

Citations

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

Fields of papers citing papers by Demetrio Labate

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Demetrio Labate

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

Labate, Demetrio, et al.. (2025). Regularization with Optimal Space-Time Priors. SIAM Journal on Imaging Sciences. 18(3). 1563–1600. 1 indexed citations

Kruyer, Anna, et al.. (2025). Supervised and unsupervised learning reveal heroin-induced impairments in astrocyte structural plasticity. Science Advances. 11(18). eads6841–eads6841. 2 indexed citations

Labate, Demetrio, et al.. (2024). Low dimensional approximation and generalization of multivariate functions on smooth manifolds using deep ReLU neural networks. Neural Networks. 174. 106223–106223.

Nardino, Vanni, Donatella Guzzi, Cinzia Lastri, et al.. (2023). Compressive Sensing Imaging Spectrometer for UV-Vis Stellar Spectroscopy: Instrumental Concept and Performance Analysis. Sensors. 23(4). 2269–2269. 1 indexed citations

Stertz, Laura, et al.. (2022). A Learning Based Framework for Disease Prediction from Images of Human-Derived Pluripotent Stem Cells of Schizophrenia Patients. Neuroinformatics. 20(2). 513–523. 1 indexed citations

Bruhn, Andrés, et al.. (2022). Blind Image Inpainting with Sparse Directional Filter Dictionaries for Lightweight CNNs. Journal of Mathematical Imaging and Vision. 65(2). 323–339.

Conti, Costanza, et al.. (2021). Stable recovery of planar regions with algebraic boundaries in Bernstein form. Advances in Computational Mathematics. 47(2).

Easley, Glenn R., et al.. (2020). Optimally Sparse Representations of Cartoon-Like Cylindrical Data. Journal of Geometric Analysis. 31(9). 8926–8946. 2 indexed citations

Prasad, Saurabh, et al.. (2020). A Multiscale Deep Learning Approach for High-Resolution Hyperspectral Image Classification. IEEE Geoscience and Remote Sensing Letters. 18(1). 167–171. 37 indexed citations

10.

Bodmann, Bernhard G., et al.. (2019). Smooth projections and the construction of smooth Parseval frames of shearlets. Advances in Computational Mathematics. 45(5-6). 3241–3264. 1 indexed citations

11.

Laezza, Fernanda, et al.. (2018). Automated sorting of neuronal trees in fluorescent images of neuronal networks using NeuroTreeTracer. Scientific Reports. 8(1). 6450–6450. 12 indexed citations

12.

Labate, Demetrio, et al.. (2018). Shearlet-based regularized reconstruction in region-of-interest computed tomography. Mathematical Modelling of Natural Phenomena. 13(4). 34–34. 3 indexed citations

13.

Guo, Kanghui, et al.. (2018). Directional multiscale representations and applications in digital neuron reconstruction. Journal of Computational and Applied Mathematics. 349. 482–493. 2 indexed citations

14.

Guo, Kanghui & Demetrio Labate. (2017). Detection of Singularities by Discrete Multiscale Directional Representations. Journal of Geometric Analysis. 28(3). 2102–2128. 10 indexed citations

15.

Labate, Demetrio, et al.. (2015). Detection of boundary curves on the piecewise smooth boundary surface of three dimensional solids. Applied and Computational Harmonic Analysis. 40(1). 137–171. 2 indexed citations

16.

Guo, Kanghui & Demetrio Labate. (2015). Characterization and analysis of edges in piecewise smooth functions. Applied and Computational Harmonic Analysis. 41(1). 139–163. 7 indexed citations

17.

Dahlke, Stephan, Filippo De Mari, Philipp Grohs, & Demetrio Labate. (2015). Harmonic and applied analysis : from groups to signals. CERN Document Server (European Organization for Nuclear Research). 3 indexed citations

18.

Kutyniok, Gitta, et al.. (2012). Shearlets. 116 indexed citations

19.

Kutyniok, Gitta & Demetrio Labate. (2012). Shearlets: Multiscale Analysis for Multivariate Data. CERN Document Server (European Organization for Nuclear Research). 112 indexed citations

20.

Kutyniok, Gitta & Demetrio Labate. (2011). Mini-Workshop: Shearlets. Oberwolfach Reports. 7(4). 2573–2611. 1 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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