![](https://dblp.dagstuhl.de/img/logo.ua.320x120.png)
![](https://dblp.dagstuhl.de/img/dropdown.dark.16x16.png)
![](https://dblp.dagstuhl.de/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp.dagstuhl.de/img/search.dark.16x16.png)
![search dblp](https://dblp.dagstuhl.de/img/search.dark.16x16.png)
default search action
Jean-François Aujol
Person information
Refine list
![note](https://dblp.dagstuhl.de/img/note-mark.dark.12x12.png)
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [j51]Yann Traonmilin, Jean-François Aujol, Pierre-Jean Bénard, Arthur Leclaire:
On Strong Basins of Attractions for Non-convex Sparse Spike Estimation: Upper and Lower Bounds. J. Math. Imaging Vis. 66(1): 57-74 (2024) - [j50]Jean-François Aujol, Charles Dossal, Aude Rondepierre
:
FISTA is an automatic geometrically optimized algorithm for strongly convex functions. Math. Program. 204(1): 449-491 (2024) - [i13]Pierre-Jean Bénard, Yann Traonmilin, Jean-François Aujol:
Projected Block Coordinate Descent for sparse spike estimation. CoRR abs/2402.12021 (2024) - 2023
- [j49]Jean-François Aujol, Charles Dossal, Aude Rondepierre
:
Convergence rates of the Heavy-Ball method under the Łojasiewicz property. Math. Program. 198(1): 195-254 (2023) - [c38]Hui Shi, Yann Traonmilin, Jean-François Aujol:
Compressive Learning of Deep Regularization for Denoising. SSVM 2023: 162-174 - [i12]Chao Wang, Jean-François Aujol, Guy Gilboa, Yifei Lou:
Minimizing Quotient Regularization Model. CoRR abs/2308.04095 (2023) - [i11]Hui Shi, Yann Traonmilin, Jean-François Aujol:
Batch-less stochastic gradient descent for compressive learning of deep regularization for image denoising. CoRR abs/2310.03085 (2023) - 2022
- [j48]Hui Shi
, Yann Traonmilin, Jean-François Aujol
:
Compressive Learning for Patch-Based Image Denoising. SIAM J. Imaging Sci. 15(3): 1184-1212 (2022) - [j47]Jean-François Aujol
, Charles Dossal, Aude Rondepierre
:
Convergence Rates of the Heavy Ball Method for Quasi-strongly Convex Optimization. SIAM J. Optim. 32(3): 1817-1842 (2022) - [j46]Anaïs Gastineau
, Jean-François Aujol
, Yannick Berthoumieu, Christian Germain
:
Generative Adversarial Network for Pansharpening With Spectral and Spatial Discriminators. IEEE Trans. Geosci. Remote. Sens. 60: 1-11 (2022) - [c37]Axel Baldanza, Jean-François Aujol, Yann Traonmilin, François Alary:
Piecewise linear prediction model for action tracking in sports. EUSIPCO 2022: 518-522 - [c36]Pierre-Jean Bénard, Yann Traonmilin, Jean-François Aujol:
Fast off-the-grid sparse recovery with over-parametrized projected gradient descent. EUSIPCO 2022: 2206-2210 - [i10]Dang-Phuong-Lan Nguyen, Jean-François Aujol, Yannick Berthoumieu:
Patch-based image Super Resolution using generalized Gaussian mixture model. CoRR abs/2206.03069 (2022) - 2021
- [j45]Vassilis Apidopoulos
, Jean-François Aujol, Charles Dossal, Aude Rondepierre:
Convergence rates of an inertial gradient descent algorithm under growth and flatness conditions. Math. Program. 187(1): 151-193 (2021) - [c35]Hui Shi, Yann Traonmilin, Jean-François Aujol:
Sketched Learning for Image Denoising. SSVM 2021: 281-293 - 2020
- [j44]Vassilis Apidopoulos
, Jean-François Aujol, Charles Dossal:
Convergence rate of inertial Forward-Backward algorithm beyond Nesterov's rule. Math. Program. 180(1): 137-156 (2020) - [j43]Yann Traonmilin
, Jean-François Aujol
, Arthur Leclaire
:
Projected Gradient Descent for Non-Convex Sparse Spike Estimation. IEEE Signal Process. Lett. 27: 1110-1114 (2020) - [c34]Anaïs Gastineau, Jean-François Aujol, Yannick Berthoumieu, Christian Germain:
A Residual Dense Generative Adversarial Network For Pansharpening With Geometrical Constraints. ICIP 2020: 493-497 - [c33]Arthur Renaudeau, Travis Seng, Axel Carlier, Fabien Pierre, François Lauze, Jean-François Aujol, Jean-Denis Durou:
Learning Defects in Old Movies from Manually Assisted Restoration. ICPR 2020: 5254-5261 - [i9]Johannes Hertrich, Dang Phoung Lan Nguyen, Jean-François Aujol, Dominique Bernard, Yannick Berthoumieu, Abdellativ Sa'adaldin, Gabriele Steidl:
PCA Reduced Gaussian Mixture Models with Applications in Superresolution. CoRR abs/2009.07520 (2020) - [i8]Yann Traonmilin, Jean-François Aujol, Arthur Leclaire:
The basins of attraction of the global minimizers of non-convex inverse problems with low-dimensional models in infinite dimension. CoRR abs/2009.08670 (2020) - [i7]Yann Traonmilin, Jean-François Aujol, Arthur Leclaire:
An algorithm for non-convex off-the-grid sparse spike estimation with a minimum separation constraint. CoRR abs/2012.01262 (2020)
2010 – 2019
- 2019
- [j42]Pierre Biasutti, Jean-François Aujol, Mathieu Brédif, Aurélie Bugeau:
Diffusion and inpainting of reflectance and height LiDAR orthoimages. Comput. Vis. Image Underst. 179: 31-40 (2019) - [j41]Jean-François Aujol, Jalal Fadili, Michael Hintermüller, Gabriel Peyré, Gerlind Plonka-Hoch, Gabriele Steidl:
Guest Editorial JMIV Special Issue Mathematics and Image Analysis (MIA). J. Math. Imaging Vis. 61(5): 643-644 (2019) - [j40]Jean-François Aujol
, Charles Dossal, Aude Rondepierre:
Optimal Convergence Rates for Nesterov Acceleration. SIAM J. Optim. 29(4): 3131-3153 (2019) - [c32]Pierre Biasutti, Vincent Lepetit, Jean-François Aujol, Mathieu Brédif, Aurélie Bugeau:
LU-Net: An Efficient Network for 3D LiDAR Point Cloud Semantic Segmentation Based on End-to-End-Learned 3D Features and U-Net. ICCV Workshops 2019: 942-950 - [c31]Arthur Renaudeau, François Lauze, Fabien Pierre, Jean-François Aujol, Jean-Denis Durou:
Alternate Structural-Textural Video Inpainting for Spot Defects Correction in Movies. SSVM 2019: 104-116 - [c30]Pierre Biasutti, Aurélie Bugeau, Jean-François Aujol, Mathieu Brédif:
Visibility Estimation in Point Clouds with Variable Density. VISIGRAPP (4: VISAPP) 2019: 27-35 - [i6]Pierre Biasutti, Aurélie Bugeau, Jean-François Aujol, Mathieu Brédif:
RIU-Net: Embarrassingly simple semantic segmentation of 3D LiDAR point cloud. CoRR abs/1905.08748 (2019) - [i5]Pierre Biasutti, Vincent Lepetit, Jean-François Aujol, Mathieu Brédif, Aurélie Bugeau:
LU-Net: An Efficient Network for 3D LiDAR Point Cloud Semantic Segmentation Based on End-to-End-Learned 3D Features and U-Net. CoRR abs/1908.11656 (2019) - 2018
- [j39]Yvain Quéau
, Jean-Denis Durou, Jean-François Aujol:
Normal Integration: A Survey. J. Math. Imaging Vis. 60(4): 576-593 (2018) - [j38]Yvain Quéau
, Jean-Denis Durou, Jean-François Aujol:
Variational Methods for Normal Integration. J. Math. Imaging Vis. 60(4): 609-632 (2018) - [j37]Jean-François Aujol
, Guy Gilboa, Nicolas Papadakis:
Theoretical Analysis of Flows Estimating Eigenfunctions of One-Homogeneous Functionals. SIAM J. Imaging Sci. 11(2): 1416-1440 (2018) - [j36]Vassilis Apidopoulos, Jean-François Aujol, Charles Dossal:
The Differential Inclusion Modeling FISTA Algorithm and Optimality of Convergence Rate in the Case b $\leq3$. SIAM J. Optim. 28(1): 551-574 (2018) - [c29]Brendan Le Bouill, Jean-François Aujol, Yannick Berthoumieu, Charles-Alban Deledalle:
Regularised Projection of an Image Domain Triangulation for Disparity Map Refinement. ISIVC 2018: 254-259 - [i4]Yann Traonmilin, Jean-François Aujol:
The basins of attraction of the global minimizers of the non-convex sparse spikes estimation problem. CoRR abs/1811.12000 (2018) - 2017
- [j35]Fabien Pierre, Jean-François Aujol, Aurélie Bugeau, Gabriele Steidl, Vinh-Thong Ta:
Variational Contrast Enhancement of Gray-Scale and RGB Images. J. Math. Imaging Vis. 57(1): 99-116 (2017) - [j34]Fabien Pierre, Jean-François Aujol, Aurélie Bugeau, Vinh-Thong Ta:
Interactive Video Colorization Within a Variational Framework. SIAM J. Imaging Sci. 10(4): 2293-2325 (2017) - [j33]Mireille El Gheche
, Jean-François Aujol, Yannick Berthoumieu
, Charles-Alban Deledalle:
Texture Reconstruction Guided by a High-Resolution Patch. IEEE Trans. Image Process. 26(2): 549-560 (2017) - [c28]Fabien Pierre, Jean-François Aujol, Charles-Alban Deledalle, Nicolas Papadakis:
Luminance-Guided Chrominance Denoising with Debiased Coupled Total Variation. EMMCVPR 2017: 235-248 - [i3]Yvain Quéau, Jean-Denis Durou, Jean-François Aujol:
Normal Integration: A Survey. CoRR abs/1709.05940 (2017) - [i2]Yvain Quéau, Jean-Denis Durou, Jean-François Aujol:
Variational Methods for Normal Integration. CoRR abs/1709.05965 (2017) - 2016
- [j32]Jean-François Aujol, Mila Nikolova, Nicolas Papadakis:
Guest Editorial: Scale-Space and Variational Methods. J. Math. Imaging Vis. 56(2): 173-174 (2016) - [j31]Moncef Hidane
, Mireille El Gheche, Jean-François Aujol, Yannick Berthoumieu
, Charles-Alban Deledalle:
Image Zoom Completion. IEEE Trans. Image Process. 25(8): 3505-3517 (2016) - [c27]Camille Sutour, Jean-François Aujol, Charles-Alban Deledalle:
Automatic estimation of the noise level function for adaptive blind denoising. EUSIPCO 2016: 76-80 - [c26]Marco Bevilacqua, Jean-François Aujol, Mathieu Brédif, Aurélie Bugeau:
Visibility estimation and joint inpainting of lidar depth maps. ICIP 2016: 3503-3507 - [c25]Fabien Pierre, Jean-François Aujol, Aurélie Bugeau, Gabriele Steidl, Vinh-Thong Ta:
Hue-preserving perceptual contrast enhancement. ICIP 2016: 4067-4071 - [c24]Mireille El Gheche, Jean-François Aujol, Yannick Berthoumieu, Charles-Alban Deledalle, Ronan Fablet:
Texture synthesis guided by a low-resolution image. IVMSP 2016: 1-5 - 2015
- [j30]Camille Sutour, Jean-François Aujol, Charles-Alban Deledalle, Baudouin Denis de Senneville
:
Edge-Based Multi-modal Registration and Application for Night Vision Devices. J. Math. Imaging Vis. 53(2): 131-150 (2015) - [j29]Fabien Pierre, Jean-François Aujol, Aurélie Bugeau, Nicolas Papadakis, Vinh-Thong Ta:
Luminance-Chrominance Model for Image Colorization. SIAM J. Imaging Sci. 8(1): 536-563 (2015) - [j28]Camille Sutour, Charles-Alban Deledalle, Jean-François Aujol:
Estimation of the Noise Level Function Based on a Nonparametric Detection of Homogeneous Image Regions. SIAM J. Imaging Sci. 8(4): 2622-2661 (2015) - [j27]Jean-François Aujol, Charles Dossal:
Stability of Over-Relaxations for the Forward-Backward Algorithm, Application to FISTA. SIAM J. Optim. 25(4): 2408-2433 (2015) - [c23]Jean-François Aujol, Guy Gilboa, Nicolas Papadakis:
Fundamentals of Non-Local Total Variation Spectral Theory. SSVM 2015: 66-77 - [c22]Fabien Pierre, Jean-François Aujol, Aurélie Bugeau, Vinh-Thong Ta:
Luminance-Hue Specification in the RGB Space. SSVM 2015: 413-424 - [e1]Jean-François Aujol, Mila Nikolova, Nicolas Papadakis:
Scale Space and Variational Methods in Computer Vision - 5th International Conference, SSVM 2015, Lège-Cap Ferret, France, May 31 - June 4, 2015, Proceedings. Lecture Notes in Computer Science 9087, Springer 2015, ISBN 978-3-319-18460-9 [contents] - 2014
- [j26]Gilles Aubert, Jean-François Aujol:
Poisson Skeleton Revisited: a New Mathematical Perspective. J. Math. Imaging Vis. 48(1): 149-159 (2014) - [j25]Gabriel Peyré, Jalal Fadili, Jean-François Aujol, Laurent D. Cohen:
Guest Editorial - JMIV Special Issue Mathematics and Image Analysis. J. Math. Imaging Vis. 48(2): 203-204 (2014) - [j24]Gui-Song Xia
, Sira Ferradans, Gabriel Peyré
, Jean-François Aujol:
Synthesizing and Mixing Stationary Gaussian Texture Models. SIAM J. Imaging Sci. 7(1): 476-508 (2014) - [j23]Sira Ferradans, Nicolas Papadakis, Gabriel Peyré
, Jean-François Aujol:
Regularized Discrete Optimal Transport. SIAM J. Imaging Sci. 7(3): 1853-1882 (2014) - [j22]Camille Sutour, Charles-Alban Deledalle, Jean-François Aujol:
Adaptive Regularization of the NL-Means: Application to Image and Video Denoising. IEEE Trans. Image Process. 23(8): 3506-3521 (2014) - [c21]Fabien Pierre, Jean-François Aujol, Aurélie Bugeau, Vinh-Thong Ta:
A Unified Model for Image Colorization. ECCV Workshops (3) 2014: 297-308 - [c20]Fabien Pierre, Jean-François Aujol, Aurélie Bugeau, Nicolas Papadakis, Vinh-Thong Ta:
Exemplar-based colorization in RGB color space. ICIP 2014: 625-629 - [c19]Moncef Hidane, Jean-François Aujol, Yannick Berthoumieu, Charles-Alban Deledalle:
Super-resolution from a low- and partial high-resolution image pair. ICIP 2014: 2145-2149 - [c18]Camille Sutour, Jean-François Aujol, Charles-Alban Deledalle, Jean-Philippe Domenger
:
Adaptive regularization of the NL-means for video denoising. ICIP 2014: 2704-2708 - 2013
- [j21]Nicolas Papadakis, Romain Yildizoglu, Jean-François Aujol, Vicent Caselles:
High-Dimension Multilabel Problems: Convex or Nonconvex Relaxation? SIAM J. Imaging Sci. 6(4): 2603-2639 (2013) - [c17]Romain Yildizoglu, Jean-François Aujol, Nicolas Papadakis:
A Convex Formulation for Global Histogram Based Binary Segmentation. EMMCVPR 2013: 335-349 - [c16]Sira Ferradans, Gui-Song Xia
, Gabriel Peyré
, Jean-François Aujol:
Static and Dynamic Texture Mixing Using Optimal Transport. SSVM 2013: 137-148 - [c15]Sira Ferradans, Nicolas Papadakis, Julien Rabin, Gabriel Peyré
, Jean-François Aujol:
Regularized Discrete Optimal Transport. SSVM 2013: 428-439 - [i1]Sira Ferradans, Nicolas Papadakis, Gabriel Peyré, Jean-François Aujol:
Regularized Discrete Optimal Transport. CoRR abs/1307.5551 (2013) - 2012
- [c14]Romain Yildizoglu, Jean-François Aujol, Nicolas Papadakis:
Active contours without level sets. ICIP 2012: 2549-2552 - [c13]Gui-Song Xia
, Sira Ferradans, Gabriel Peyré, Jean-François Aujol:
Compact representations of stationary dynamic textures. ICIP 2012: 2993-2996 - 2011
- [j20]Pierre Maurel, Jean-François Aujol, Gabriel Peyré
:
Locally Parallel Texture Modeling. SIAM J. Imaging Sci. 4(1): 413-447 (2011) - [j19]Vincent Duval
, Jean-François Aujol, Yann Gousseau:
A Bias-Variance Approach for the Nonlocal Means. SIAM J. Imaging Sci. 4(2): 760-788 (2011) - [c12]Sandrine Anthoine, Jean-François Aujol, Yannick Boursier, Clothilde Mélot:
On the efficiency of proximal methods in CBCT and PET. ICIP 2011: 1365-1368 - 2010
- [j18]Vincent Duval
, Jean-François Aujol, Luminita A. Vese:
Mathematical Modeling of Textures: Application to Color Image Decomposition with a Projected Gradient Algorithm. J. Math. Imaging Vis. 37(3): 232-248 (2010) - [j17]Jean-François Aujol, Saïd Ladjal, Simon Masnou:
Exemplar-Based Inpainting from a Variational Point of View. SIAM J. Math. Anal. 42(3): 1246-1285 (2010)
2000 – 2009
- 2009
- [j16]Jean-François Aujol:
Some First-Order Algorithms for Total Variation Based Image Restoration. J. Math. Imaging Vis. 34(3): 307-327 (2009) - [j15]Gabriele Facciolo
, Andrés Almansa
, Jean-François Aujol, Vicent Caselles:
Irregular to Regular Sampling, Denoising, and Deconvolution. Multiscale Model. Simul. 7(4): 1574-1608 (2009) - [j14]Bin Luo, Jean-François Aujol, Yann Gousseau:
Local Scale Measure from the Topographic Map and Application to Remote Sensing Images. Multiscale Model. Simul. 8(1): 1-29 (2009) - [j13]Vincent Duval
, Jean-François Aujol, Yann Gousseau:
The TVL1 Model: A Geometric Point of View. Multiscale Model. Simul. 8(1): 154-189 (2009) - [c11]Jean-Denis Durou, Jean-François Aujol, Frédéric Courteille:
Integrating the Normal Field of a Surface in the Presence of Discontinuities. EMMCVPR 2009: 261-273 - [c10]Pierre Maurel, Jean-François Aujol, Gabriel Peyré
:
Locally Parallel Textures Modeling with Adapted Hilbert Spaces. EMMCVPR 2009: 429-442 - [c9]Vincent Duval
, Jean-François Aujol, Luminita A. Vese:
Projected Gradient Based Color Image Decomposition. SSVM 2009: 295-306 - [c8]Bin Luo, Jean-François Aujol, Yann Gousseau:
Local Scale Measure for Remote Sensing Images. SSVM 2009: 856-867 - 2008
- [j12]Gilles Aubert, Jean-François Aujol:
A Variational Approach to Removing Multiplicative Noise. SIAM J. Appl. Math. 68(4): 925-946 (2008) - [j11]Bin Luo, Jean-François Aujol, Yann Gousseau, Saïd Ladjal:
Indexing of Satellite Images With Different Resolutions by Wavelet Features. IEEE Trans. Image Process. 17(8): 1465-1472 (2008) - 2007
- [j10]Bin Luo, Jean-François Aujol, Yann Gousseau, Saïd Ladjal, Henri Maître:
Resolution-Independent Characteristic Scale Dedicated to Satellite Images. IEEE Trans. Image Process. 16(10): 2503-2514 (2007) - [c7]Gilles Aubert, Jean-François Aujol:
A Nonconvex Model to Remove Multiplicative Noise. SSVM 2007: 68-79 - 2006
- [j9]Jean-François Aujol, Guy Gilboa, Tony F. Chan
, Stanley J. Osher:
Structure-Texture Image Decomposition - Modeling, Algorithms, and Parameter Selection. Int. J. Comput. Vis. 67(1): 111-136 (2006) - [j8]Jean-François Aujol, Guy Gilboa:
Constrained and SNR-Based Solutions for TV-Hilbert Space Image Denoising. J. Math. Imaging Vis. 26(1-2): 217-237 (2006) - [j7]Jean-François Aujol, Sung Ha Kang
:
Color image decomposition and restoration. J. Vis. Commun. Image Represent. 17(4): 916-928 (2006) - [j6]Jean-François Aujol, Tony F. Chan
:
Combining geometrical and textured information to perform image classification. J. Vis. Commun. Image Represent. 17(5): 1004-1023 (2006) - [j5]David M. Strong, Jean-François Aujol, Tony F. Chan
:
Scale Recognition, Regularization Parameter Selection, and Meyer's G Norm in Total Variation Regularization. Multiscale Model. Simul. 5(1): 273-303 (2006) - [c6]Bin Luo, Jean-François Aujol, Yann Gousseau, Saïd Ladjal, Henri Maître:
Characteristic Scale in Satellite Images. ICASSP (2) 2006: 809-812 - [c5]Bin Luo, Jean-François Aujol, Yann Gousseau, Saïd Ladjal:
Extrapolation of Wavelet Features for the Indexing of Satellite Images with Different Resolutions. IGARSS 2006: 176-179 - 2005
- [j4]Jean-François Aujol, Antonin Chambolle
:
Dual Norms and Image Decomposition Models. Int. J. Comput. Vis. 63(1): 85-104 (2005) - [j3]Gilles Aubert, Jean-François Aujol, Laure Blanc-Féraud:
Detecting Codimension - Two Objects in an Image with Ginzburg-Landau Models. Int. J. Comput. Vis. 65(1-2): 29-42 (2005) - [j2]Jean-François Aujol, Gilles Aubert, Laure Blanc-Féraud, Antonin Chambolle
:
Image Decomposition into a Bounded Variation Component and an Oscillating Component. J. Math. Imaging Vis. 22(1): 71-88 (2005) - [c4]Jean-François Aujol, Guy Gilboa, Tony F. Chan, Stanley J. Osher:
Structure-Texture Decomposition by a TV-Gabor Model. VLSM 2005: 85-96 - [c3]Jean-François Aujol, Tony F. Chan
:
Combined Geometric-Texture Image Classification. VLSM 2005: 161-172 - 2003
- [j1]Jean-François Aujol, Gilles Aubert, Laure Blanc-Féraud:
Wavelet-based level set evolution for classification of textured images. IEEE Trans. Image Process. 12(12): 1634-1641 (2003) - [c2]Jean-François Aujol, Gilles Aubert, Laure Blanc-Féraud:
Wavelet-based level set evolution for classification of textured images. ICIP (2) 2003: 1041-1044 - [c1]Jean-François Aujol, Gilles Aubert, Laure Blanc-Féraud, Antonin Chambolle:
Image Decomposition Application to SAR Images. Scale-Space 2003: 297-312
Coauthor Index
![](https://dblp.dagstuhl.de/img/cog.dark.24x24.png)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-08-06 21:02 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint