Christian Rupprecht

4.1k total citations · 1 hit paper
77 papers, 1.7k citations indexed

About

Christian Rupprecht is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Aerospace Engineering. According to data from OpenAlex, Christian Rupprecht has authored 77 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Computer Vision and Pattern Recognition, 14 papers in Computational Mechanics and 13 papers in Aerospace Engineering. Recurrent topics in Christian Rupprecht's work include Advanced Vision and Imaging (16 papers), 3D Shape Modeling and Analysis (12 papers) and Human Pose and Action Recognition (9 papers). Christian Rupprecht is often cited by papers focused on Advanced Vision and Imaging (16 papers), 3D Shape Modeling and Analysis (12 papers) and Human Pose and Action Recognition (9 papers). Christian Rupprecht collaborates with scholars based in Germany, United Kingdom and United States. Christian Rupprecht's co-authors include Andrea Vedaldi, Nassir Navab, Shangzhe Wu, Iro Laina, Luke Melas-Kyriazi, Maximilian Baust, B. Wielage, Thomas Grund, Vasileios Belagiannis and Gustavo Carneiro and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports and Emerging infectious diseases.

In The Last Decade

Christian Rupprecht

69 papers receiving 1.7k citations

Hit Papers

RealFusion 360° Reconstruction of Any Object from a Singl... 2023 2026 2024 2025 2023 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christian Rupprecht Germany 22 841 272 269 239 201 77 1.7k
Lu Fang China 26 1.6k 1.9× 276 1.0× 262 1.0× 309 1.3× 164 0.8× 188 2.4k
Gunilla Borgefors Sweden 20 2.2k 2.7× 293 1.1× 298 1.1× 182 0.8× 340 1.7× 51 3.0k
Ran Song China 20 524 0.6× 178 0.7× 117 0.4× 160 0.7× 81 0.4× 117 1.4k
Xenophon Zabulis Greece 25 1.1k 1.3× 118 0.4× 465 1.7× 94 0.4× 77 0.4× 138 2.2k
Shuai Li China 26 1.2k 1.5× 152 0.6× 143 0.5× 304 1.3× 74 0.4× 132 2.1k
Xiaoming Wei China 21 806 1.0× 266 1.0× 76 0.3× 302 1.3× 178 0.9× 82 2.1k
Jing Hua United States 25 674 0.8× 537 2.0× 79 0.3× 222 0.9× 292 1.5× 112 1.8k
Ruimao Zhang China 19 1.2k 1.4× 276 1.0× 108 0.4× 533 2.2× 131 0.7× 72 2.1k
Xuguang Lan China 16 1.8k 2.1× 109 0.4× 246 0.9× 600 2.5× 29 0.1× 102 3.0k
Ardeshir Goshtasby United States 19 1.2k 1.5× 159 0.6× 329 1.2× 95 0.4× 95 0.5× 34 1.8k

Countries citing papers authored by Christian Rupprecht

Since Specialization
Citations

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

Fields of papers citing papers by Christian Rupprecht

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christian Rupprecht

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

All Works

20 of 20 papers shown
1.
Cios, Grzegorz, et al.. (2025). Phase evolution and microstructure of suspension HVOF-sprayed alumina coatings. Surface and Coatings Technology. 499. 131885–131885. 1 indexed citations
2.
Lenssen, Jan Eric, Michael Niemeyer, Yiyi Liao, et al.. (2024). Recent Trends in 3D Reconstruction of General Non‐Rigid Scenes. Computer Graphics Forum. 43(2). 12 indexed citations
3.
Wu, BoRui, Xiaoliang Dai, Zijian He, et al.. (2024). Cache Me if You Can: Accelerating Diffusion Models through Block Caching. 6211–6220. 3 indexed citations
4.
Zhang, Yunzhi, Tomáš Jakab, Christian Rupprecht, et al.. (2024). Learning the 3D Fauna of the Web. 9752–9762. 4 indexed citations
5.
Rupprecht, Christian, et al.. (2024). S4C: Self-Supervised Semantic Scene Completion With Neural Fields. 409–420. 14 indexed citations
6.
Kamutzki, Franz, et al.. (2023). Optimization of Segmented Thermal Barrier Coatings (s-TBCs) for High-Temperature Applications. Journal of Thermal Spray Technology. 32(8). 2636–2646. 6 indexed citations
7.
Hirsch, Philipp Emanuel, et al.. (2023). Influence of the number of measurements on detecting internal defects using photothermal super resolution reconstruction with random pixel patterns. Quantitative InfraRed Thermography Journal. 21(5). 277–287. 4 indexed citations
8.
Wu, Shangzhe, et al.. (2023). MagicPony: Learning Articulated 3D Animals in the Wild. 8792–8802. 26 indexed citations
9.
Rupprecht, Christian, et al.. (2023). Nondestructive thermographic detection of internal defects using pixel-pattern based laser excitation and photothermal super resolution reconstruction. Scientific Reports. 13(1). 3416–3416. 11 indexed citations
10.
Melas-Kyriazi, Luke, Christian Rupprecht, & Andrea Vedaldi. (2023). PC2: Projection-Conditioned Point Cloud Diffusion for Single-Image 3D Reconstruction. 12923–12932. 48 indexed citations
11.
Rupprecht, Christian, et al.. (2023). What does CLIP know about a red circle? Visual prompt engineering for VLMs. 11953–11963. 47 indexed citations
12.
Hirsch, Philipp Emanuel, et al.. (2022). Thermographic detection of internal defects using 2D photothermal super resolution reconstruction with sequential laser heating. arXiv (Cornell University). 7 indexed citations
13.
Rupprecht, Rainer, Christian Rupprecht, Barbara Di Benedetto, & Gerhard Rammes. (2021). Neuroinflammation and psychiatric disorders: Relevance of C1q, translocator protein (18 kDa) (TSPO), and neurosteroids. The World Journal of Biological Psychiatry. 23(4). 257–263. 18 indexed citations
14.
Asano, Yuki M., Christian Rupprecht, & Andrea Vedaldi. (2020). A critical analysis of self-supervision, or what we can learn from a single image. Oxford University Research Archive (ORA) (University of Oxford). 11 indexed citations
15.
Asano, Yuki M., Mandela Patrick, Christian Rupprecht, & Andrea Vedaldi. (2020). Labelling unlabelled videos from scratch with multi-modal self-supervision. Oxford University Research Archive (ORA) (University of Oxford). 33. 4660–4671. 6 indexed citations
16.
Asano, Yuki M., Christian Rupprecht, & Andrea Vedaldi. (2019). Surprising Effectiveness of Few-Image Unsupervised Feature Learning.. arXiv (Cornell University). 3 indexed citations
17.
Rupprecht, Thomas, et al.. (2014). Leukotriene Receptor Blockade as a Life-Saving Treatment in Severe Bronchopulmonary Dysplasia. Respiration. 88(4). 285–290. 16 indexed citations
18.
Neugebauer, R., et al.. (2012). FE simulation of coated forming tools for high strength aluminium alloys. Materialwissenschaft und Werkstofftechnik. 43(7). 589–595.
19.
Rupprecht, Christian, et al.. (2010). Tribological behavior of DLC and hard coatings against aluminium based materials. Materialwissenschaft und Werkstofftechnik. 41(9). 725–729. 2 indexed citations
20.
Wank, A., et al.. (2006). Tailoring of Wire Feedstock and Processing Conditions in High Velocity Combustion Wire Spraying. Thermal spray. 83669. 1009–1014. 1 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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