M. Rump

3.0k total citations
11 papers, 163 citations indexed

About

M. Rump is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, M. Rump has authored 11 papers receiving a total of 163 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 9 papers in Computer Graphics and Computer-Aided Design and 5 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in M. Rump's work include Computer Graphics and Visualization Techniques (9 papers), Advanced Vision and Imaging (6 papers) and Color Science and Applications (5 papers). M. Rump is often cited by papers focused on Computer Graphics and Visualization Techniques (9 papers), Advanced Vision and Imaging (6 papers) and Color Science and Applications (5 papers). M. Rump collaborates with scholars based in Germany. M. Rump's co-authors include Reinhard Klein, Ralf Sarlette, Arno Zinke, Dirk Koch, Gero Müller, Michael Weinmann and Andreas Weber⋆ and has published in prestigious journals such as Sensors, ACM Transactions on Graphics and Computer Graphics Forum.

In The Last Decade

M. Rump

11 papers receiving 154 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
M. Rump Germany	7	105	100	66	64	17	11	163
Andrea Weidlich Czechia	10	151 1.4×	207 2.1×	73 1.1×	112 1.8×	4 0.2×	31	295
Jérémy Rivière United States	6	176 1.7×	101 1.0×	18 0.3×	83 1.3×	8 0.5×	11	213
Chloe LeGendre United States	7	239 2.3×	128 1.3×	30 0.5×	49 0.8×	14 0.8×	20	267
Jan Meseth Germany	11	231 2.2×	314 3.1×	19 0.3×	231 3.6×	6 0.4×	19	365
Jonathan Dupuy Canada	7	219 2.1×	263 2.6×	31 0.5×	187 2.9×	5 0.3×	11	314
Laurent Belcour France	10	168 1.6×	188 1.9×	46 0.7×	114 1.8×	2 0.1×	22	268
Shinji Ogaki Spain	6	220 2.1×	223 2.2×	24 0.4×	84 1.3×	5 0.3×	14	287
Norman Müller Canada	6	107 1.0×	71 0.7×	6 0.1×	65 1.0×	29 1.7×	34	188
Fujun Luan United States	12	287 2.7×	313 3.1×	15 0.2×	240 3.8×	11 0.6×	27	401
Moon-Hyun Lee South Korea	6	190 1.8×	17 0.2×	122 1.8×	21 0.3×	24 1.4×	13	272

Countries citing papers authored by M. Rump

Since Specialization

Citations

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

Fields of papers citing papers by M. Rump

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Rump

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

All Works

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11 of 11 papers shown

1.

Rump, M., et al.. (2019). Learned Fitting of Spatially Varying BRDFs. Computer Graphics Forum. 38(4). 193–205. 4 indexed citations

2.

Sarlette, Ralf, et al.. (2014). Design and Implementation of Practical Bidirectional Texture Function Measurement Devices Focusing on the Developments at the University of Bonn. Sensors. 14(5). 7753–7819. 35 indexed citations

3.

Rump, M., Arno Zinke, & Reinhard Klein. (2011). Practical spectral characterization of trichromatic cameras. ACM Transactions on Graphics. 30(6). 1–10. 12 indexed citations

4.

Rump, M., Arno Zinke, & Reinhard Klein. (2011). Practical spectral characterization of trichromatic cameras. 1–10. 15 indexed citations

5.

Rump, M., Ralf Sarlette, & Reinhard Klein. (2010). Groundtruth Data for Multispectral Bidirectional Texture Functions. Conference on Colour in Graphics Imaging and Vision. 5(1). 326–331. 10 indexed citations

6.

Rump, M. & Reinhard Klein. (2010). Spectralization: Reconstructing spectra from sparse data. Computer Graphics Forum. 29(4). 1347–1354. 7 indexed citations

7.

Rump, M., Ralf Sarlette, & Reinhard Klein. (2009). Efficient Resampling, Compression and Rendering of Metallic and Pearlescent Paint.. Vision Modeling and Visualization. 11–18. 6 indexed citations

8.

Rump, M., et al.. (2009). Parallelized Matrix Factorization for fast BTF Compression. Eurographics. 6 indexed citations

9.

Zinke, Arno, et al.. (2009). A practical approach for photometric acquisition of hair color. ACM Transactions on Graphics. 28(5). 1–9. 15 indexed citations

10.

Zinke, Arno, et al.. (2009). A practical approach for photometric acquisition of hair color. 1–9. 6 indexed citations

11.

Rump, M., Gero Müller, Ralf Sarlette, Dirk Koch, & Reinhard Klein. (2008). Photo‐realistic Rendering of Metallic Car Paint from Image‐Based Measurements. Computer Graphics Forum. 27(2). 527–536. 47 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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