Stephan R. Richter

3.2k total citations · 1 hit paper
19 papers, 643 citations indexed

About

Stephan R. Richter is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Computational Mechanics. According to data from OpenAlex, Stephan R. Richter has authored 19 papers receiving a total of 643 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 6 papers in Computer Graphics and Computer-Aided Design and 5 papers in Computational Mechanics. Recurrent topics in Stephan R. Richter's work include Computer Graphics and Visualization Techniques (6 papers), Advanced Vision and Imaging (6 papers) and 3D Shape Modeling and Analysis (5 papers). Stephan R. Richter is often cited by papers focused on Computer Graphics and Visualization Techniques (6 papers), Advanced Vision and Imaging (6 papers) and 3D Shape Modeling and Analysis (5 papers). Stephan R. Richter collaborates with scholars based in Germany, United States and Switzerland. Stephan R. Richter's co-authors include Vladlen Koltun, Stefan Roth, René Ranftl, Maxim Tatarchenko, Zhuwen Li, Thomas Brox, Patrick Baudisch, Christian Holz, Hassan Abu Alhaija and R Meusel and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Computers & Graphics and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Stephan R. Richter

19 papers receiving 628 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.

What Do Single-View 3D Reconstruction Networks Learn?

2019 256 citations Maxim Tatarchenko, Stephan R. Richter et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Stephan R. Richter Germany	11	425	244	154	114	94	19	643
Mingsong Dou United States	13	713 1.7×	331 1.4×	212 1.4×	84 0.7×	110 1.2×	17	815
Thorsten Thormählen Germany	18	1.1k 2.5×	467 1.9×	302 2.0×	153 1.3×	94 1.0×	44	1.3k
Fang‐Lue Zhang China	17	887 2.1×	123 0.5×	176 1.1×	35 0.3×	119 1.3×	74	1.1k
Yotam Gingold United States	22	642 1.5×	446 1.8×	500 3.2×	84 0.7×	118 1.3×	54	1.1k
Gabriel Schwartz United States	9	671 1.6×	373 1.5×	407 2.6×	52 0.5×	33 0.4×	12	819
Pengfei Wan China	14	472 1.1×	394 1.6×	201 1.3×	231 2.0×	48 0.5×	55	843
Afzal Godil United States	18	825 1.9×	632 2.6×	171 1.1×	139 1.2×	37 0.4×	56	988
Vladimir Tankovich United Kingdom	8	566 1.3×	226 0.9×	162 1.1×	68 0.6×	89 0.9×	9	643
Adarsh Kowdle United States	15	1.3k 3.0×	282 1.2×	223 1.4×	80 0.7×	144 1.5×	30	1.4k
Steve Sullivan United States	7	618 1.5×	295 1.2×	240 1.6×	44 0.4×	42 0.4×	18	956

Countries citing papers authored by Stephan R. Richter

Since Specialization

Citations

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

Fields of papers citing papers by Stephan R. Richter

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephan R. Richter. 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 Stephan R. Richter. The network helps show where Stephan R. Richter may publish in the future.

Co-authorship network of co-authors of Stephan R. Richter

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

All Works

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19 of 19 papers shown

1.

Remelli, Edoardo, et al.. (2024). DeepMesh: Differentiable Iso-Surface Extraction. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(11). 7072–7087. 3 indexed citations

2.

Ummenhofer, Benjamin, Yixing Lao, Kai Zhang, et al.. (2024). Objects With Lighting: A Real-World Dataset for Evaluating Reconstruction and Rendering for Object Relighting. 137–147. 3 indexed citations

3.

Monakhova, Kristina, Stephan R. Richter, Laura Waller, & Vladlen Koltun. (2022). Dancing under the stars: video denoising in starlight. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 16220–16230. 32 indexed citations

4.

Richter, Stephan R., Hassan Abu Alhaija, & Vladlen Koltun. (2022). Enhancing Photorealism Enhancement. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(2). 1700–1715. 54 indexed citations

5.

Zhang, Feihu, Philip H. S. Torr, René Ranftl, & Stephan R. Richter. (2021). Looking Beyond Single Images for Contrastive Semantic Segmentation Learning. Oxford University Research Archive (ORA) (University of Oxford). 34. 9 indexed citations

6.

Tatarchenko, Maxim, Stephan R. Richter, René Ranftl, et al.. (2019). What Do Single-View 3D Reconstruction Networks Learn?. 3400–3409. 256 indexed citations breakdown →

7.

Roth, Stefan & Stephan R. Richter. (2018). Matryoshka Networks: Predicting 3D Geometry via Nested Shape Layers. 1936–1944. 52 indexed citations

8.

Richter, Stephan R. & Stefan Roth. (2015). A discriminative approach to perspective shape from shading in uncalibrated illumination. Computers & Graphics. 53. 72–81. 1 indexed citations

9.

Richter, Stephan R. & Stefan Roth. (2015). Discriminative shape from shading in uncalibrated illumination. 1128–1136. 36 indexed citations

10.

Richter, Stephan R. & Stefan Roth. (2015). A Discriminative Approach to Perspective Shape from Shading in Uncalibrated Illumination. Computers & Graphics. 1 indexed citations

11.

Holz, Christian, Daniel Hoffmann, Dominik Schmidt, et al.. (2013). GravitySpace. 725–734. 50 indexed citations

12.

Holz, Christian, Daniel Hoffmann, Dominik Schmidt, et al.. (2013). GravitySpace. 2869–2870. 48 indexed citations

13.

Richter, Stephan R., Christian Holz, & Patrick Baudisch. (2012). Bootstrapper. 1249–1252. 24 indexed citations

14.

Naumann, Felix, et al.. (2011). Black swan. 2517–2520. 2 indexed citations

15.

Richter, Stephan R., et al.. (2010). Development of Highly Reliable Piezo Multilayer Actuators and Lifetime Tests under DC and AC Operating Conditions. 2 indexed citations

16.

Steier, Peter, Robin Golser, W. Kutschera, et al.. (2008). Natural and anthropogenic 236 U in environmental samples. 43(3). 1 indexed citations

17.

Weickert, Joachim, et al.. (2002). A tensor-driven active contour model for moving object segmentation. 2. 73–76. 28 indexed citations

18.

Richter, Stephan R., et al.. (2001). <title>Contour-based classification of video objects</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4315. 608–618. 13 indexed citations

19.

Richter, Stephan R., et al.. (2001). Motion-based segmentation and contour-based classification of video objects. 41–50. 28 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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