Niklas Koep

405 total citations
9 papers, 87 citations indexed

About

Niklas Koep is a scholar working on Computational Mechanics, Computer Vision and Pattern Recognition and Applied Mathematics. According to data from OpenAlex, Niklas Koep has authored 9 papers receiving a total of 87 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computational Mechanics, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Applied Mathematics. Recurrent topics in Niklas Koep's work include Sparse and Compressive Sensing Techniques (6 papers), Image and Signal Denoising Methods (4 papers) and Mathematical Analysis and Transform Methods (2 papers). Niklas Koep is often cited by papers focused on Sparse and Compressive Sensing Techniques (6 papers), Image and Signal Denoising Methods (4 papers) and Mathematical Analysis and Transform Methods (2 papers). Niklas Koep collaborates with scholars based in Germany, United Kingdom and France. Niklas Koep's co-authors include Rudolf Mathar, James T. Townsend, Sebastian Weichwald, Arash Behboodi, Dirk Heberling, Anke Schmeink, Bernhard Kainz, Susan Holmes, Xavier Pennec and Claire Donnat and has published in prestigious journals such as IEEE Access, Journal of Machine Learning Research and Applied and Computational Harmonic Analysis.

In The Last Decade

Niklas Koep

9 papers receiving 84 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Niklas Koep Germany	4	42	24	21	16	13	9	87
Aravindh Krishnamoorthy Germany	7	131 3.1×	7 0.3×	30 1.4×	9 0.6×	9 0.7×	17	172
Donald Grieco United States	9	269 6.4×	27 1.1×	30 1.4×	11 0.7×	21 1.6×	19	299
Veniamin I. Morgenshtern Switzerland	6	124 3.0×	36 1.5×	20 1.0×	28 1.8×	14 1.1×	13	198
Shengchu Wang China	9	328 7.8×	22 0.9×	54 2.6×	19 1.2×	18 1.4×	16	359
J. W. Schumacher Switzerland	5	21 0.5×	20 0.8×	5 0.2×	5 0.3×	17 1.3×	12	83
Xinyang Yi United States	4	13 0.3×	68 2.8×	4 0.2×	15 0.9×	29 2.2×	7	112
Yair Linn Canada	8	135 3.2×	5 0.2×	14 0.7×	28 1.8×	15 1.2×	25	165
Alejandro Lancho Sweden	9	209 5.0×	8 0.3×	17 0.8×	27 1.7×	7 0.5×	25	258
Alexis Decurninge France	6	155 3.7×	17 0.7×	53 2.5×	8 0.5×	45 3.5×	24	209
Philipp Petersen Austria	6	7 0.2×	21 0.9×	8 0.4×	7 0.4×	5 0.4×	16	96

Countries citing papers authored by Niklas Koep

Since Specialization

Citations

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

Fields of papers citing papers by Niklas Koep

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Niklas Koep

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

All Works

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9 of 9 papers shown

1.

Koep, Niklas, Arash Behboodi, & Rudolf Mathar. (2022). The restricted isometry property of block diagonal matrices for group-sparse signal recovery. Applied and Computational Harmonic Analysis. 60. 333–367. 3 indexed citations

2.

Miolane, Nina, Benjamin Hou, Stefan Heyder, et al.. (2020). Introduction to Geometric Learning in Python with Geomstats. Proceedings of the Python in Science Conferences. 48–57. 3 indexed citations

3.

Koep, Niklas, Arash Behboodi, & Rudolf Mathar. (2019). The Group Restricted Isometry Property for Subgaussian Block Diagonal Matrices. 2694–2698. 1 indexed citations

4.

Koep, Niklas, et al.. (2019). Efficient Implementation of Density Evolution for Punctured Polar Codes. IEEE Access. 7. 105909–105921. 3 indexed citations

5.

Koep, Niklas, Arash Behboodi, & Rudolf Mathar. (2019). Performance Analysis of One-bit Group-sparse Signal Reconstruction. 5272–5276. 2 indexed citations

6.

Koep, Niklas & Rudolf Mathar. (2018). Block-Sparse Signal Recovery From Binary Measurements. abs 1402 5074. 293–297. 5 indexed citations

7.

Koep, Niklas & Rudolf Mathar. (2017). Binary Iterative Hard Thresholding for Frequency-Sparse Signal Recovery. RWTH Publications (RWTH Aachen). 1–7. 1 indexed citations

8.

Townsend, James T., Niklas Koep, & Sebastian Weichwald. (2016). Pymanopt: a python toolbox for optimization on manifolds using automatic differentiation. Journal of Machine Learning Research. 17(1). 4755–4759. 33 indexed citations

9.

Heberling, Dirk, et al.. (2016). Compressed sensing applied to spherical near-field to far-field transformation. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 1–4. 36 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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