Pascal Peter

403 total citations
14 papers, 150 citations indexed

About

Pascal Peter is a scholar working on Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics and Signal Processing. According to data from OpenAlex, Pascal Peter has authored 14 papers receiving a total of 150 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 2 papers in Statistical and Nonlinear Physics and 2 papers in Signal Processing. Recurrent topics in Pascal Peter's work include Image and Signal Denoising Methods (9 papers), Advanced Image Processing Techniques (6 papers) and Advanced Data Compression Techniques (6 papers). Pascal Peter is often cited by papers focused on Image and Signal Denoising Methods (9 papers), Advanced Image Processing Techniques (6 papers) and Advanced Data Compression Techniques (6 papers). Pascal Peter collaborates with scholars based in Germany and Spain. Pascal Peter's co-authors include Joachim Weickert, Christian Schmaltz, Andrés Bruhn, Joan Serra-Sagristà, Tobias Alt, Michael Breuß, Matthias Augustin, Johannes Buhl and Markus Bambach� and has published in prestigious journals such as IEEE Transactions on Image Processing, International Journal of Computer Vision and IEEE Geoscience and Remote Sensing Letters.

In The Last Decade

Pascal Peter

13 papers receiving 146 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Pascal Peter Germany	8	113	29	17	17	13	14	150
Tiziano Portenier Switzerland	6	142 1.3×	10 0.3×	9 0.5×	24 1.4×	21 1.6×	12	161
Tianyu Ding United States	4	128 1.1×	10 0.3×	19 1.1×	11 0.6×	22 1.7×	15	164
Yoni Kasten Israel	7	54 0.5×	18 0.6×	6 0.4×	15 0.9×	13 1.0×	11	95
Michal Geyer United Kingdom	2	202 1.8×	20 0.7×	23 1.4×	55 3.2×	31 2.4×	3	246
Ziqi Huang Singapore	6	169 1.5×	9 0.3×	19 1.1×	11 0.6×	40 3.1×	11	221
Thibault Napoléon France	7	112 1.0×	20 0.7×	35 2.1×	5 0.3×	17 1.3×	19	151
Zhiguang Yang China	5	152 1.3×	15 0.5×	28 1.6×	11 0.6×	25 1.9×	9	205
Eiichi Matsumoto Japan	3	210 1.9×	27 0.9×	29 1.7×	33 1.9×	30 2.3×	4	233
Oran Gafni Israel	3	145 1.3×	13 0.4×	29 1.7×	26 1.5×	26 2.0×	4	167
Omer Bar-Tal Israel	3	90 0.8×	12 0.4×	15 0.9×	23 1.4×	14 1.1×	6	119

Countries citing papers authored by Pascal Peter

Since Specialization

Citations

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

Fields of papers citing papers by Pascal Peter

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pascal Peter

This figure shows the co-authorship network connecting the top 25 collaborators of Pascal Peter. A scholar is included among the top collaborators of Pascal Peter 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 Pascal Peter. Pascal Peter is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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14 of 14 papers shown

Peter, Pascal. (2024). Generalised Diffusion Probabilistic Scale-Spaces. Journal of Mathematical Imaging and Vision. 66(4). 639–656.

Peter, Pascal, et al.. (2023). Deep spatial and tonal data optimisation for homogeneous diffusion inpainting. Pattern Analysis and Applications. 26(4). 1585–1600. 2 indexed citations

Alt, Tobias, et al.. (2022). Connections Between Numerical Algorithms for PDEs and Neural Networks. Journal of Mathematical Imaging and Vision. 65(1). 185–208. 11 indexed citations

Alt, Tobias, et al.. (2022). Designing rotationally invariant neural networks from PDEs and variational methods. Research in the Mathematical Sciences. 9(3). 1 indexed citations

Breuß, Michael, et al.. (2020). A Simple Approach to Stiffness Enhancement of a Printable Shape by Hamilton-Jacobi Skeletonization. Procedia Manufacturing. 47. 1190–1196. 1 indexed citations

Peter, Pascal. (2019). Fast Inpainting-Based Compression: Combining Shepard Interpolation with Joint Inpainting and Prediction. 7893. 3557–3561. 4 indexed citations

Peter, Pascal, et al.. (2017). Clustering-based quantisation for PDE-based image compression. Signal Image and Video Processing. 12(3). 411–419. 6 indexed citations

Serra-Sagristà, Joan, et al.. (2017). Diffusion-Based Inpainting for Coding Remote-Sensing Data. IEEE Geoscience and Remote Sensing Letters. 14(8). 1203–1207. 20 indexed citations

Peter, Pascal, et al.. (2016). Evaluating the true potential of diffusion-based inpainting in a compression context. Signal Processing Image Communication. 46. 40–53. 10 indexed citations

10.

Peter, Pascal, et al.. (2016). A proof-of-concept framework for PDE-based video compression. 1–5. 13 indexed citations

11.

Peter, Pascal, et al.. (2016). Turning Diffusion-Based Image Colorization Into Efficient Color Compression. IEEE Transactions on Image Processing. 26(2). 860–869. 24 indexed citations

12.

Peter, Pascal, et al.. (2015). Beyond pure quality: Progressive modes, region of interest coding, and real time video decoding for PDE-based image compression. Journal of Visual Communication and Image Representation. 31. 253–265. 13 indexed citations

13.

Schmaltz, Christian, et al.. (2014). Understanding, Optimising, and Extending Data Compression with Anisotropic Diffusion. International Journal of Computer Vision. 108(3). 222–240. 35 indexed citations

14.

Peter, Pascal & Joachim Weickert. (2014). Colour image compression with anisotropic diffusion. 4822–4826. 10 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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