Zorah Lähner

573 total citations
12 papers, 152 citations indexed

About

Zorah Lähner is a scholar working on Computational Mechanics, Computer Vision and Pattern Recognition and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Zorah Lähner has authored 12 papers receiving a total of 152 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computational Mechanics, 8 papers in Computer Vision and Pattern Recognition and 5 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Zorah Lähner's work include 3D Shape Modeling and Analysis (11 papers), Image Processing and 3D Reconstruction (4 papers) and Computational Geometry and Mesh Generation (3 papers). Zorah Lähner is often cited by papers focused on 3D Shape Modeling and Analysis (11 papers), Image Processing and 3D Reconstruction (4 papers) and Computational Geometry and Mesh Generation (3 papers). Zorah Lähner collaborates with scholars based in Germany, Switzerland and United Kingdom. Zorah Lähner's co-authors include Daniel Cremers, Emanuele Rodolà, Michael M. Bronstein, Martin Eisenberger, Alex Bronstein, Ron Kimmel, Tal Remez, Matthias Vestner, Or Litany and Frank Schmidt and has published in prestigious journals such as Computer Graphics Forum, IRIS Research product catalog (Sapienza University of Rome) and OpenMETU (Middle East Technical University).

In The Last Decade

Zorah Lähner

12 papers receiving 139 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zorah Lähner Germany 7 111 89 48 17 17 12 152
Hsueh‐Ti Derek Liu Canada 8 142 1.3× 89 1.0× 129 2.7× 7 0.4× 15 0.9× 20 201
Matthias Vestner Switzerland 4 195 1.8× 178 2.0× 66 1.4× 32 1.9× 30 1.8× 4 227
Camille Wormser France 6 114 1.0× 62 0.7× 142 3.0× 21 1.2× 6 0.4× 8 210
Renjiao Yi China 8 67 0.6× 103 1.2× 53 1.1× 17 1.0× 29 1.7× 25 176
Boyang Deng United States 2 160 1.4× 214 2.4× 187 3.9× 17 1.0× 33 1.9× 4 287
Yawar Siddiqui Germany 6 132 1.2× 161 1.8× 132 2.8× 16 0.9× 31 1.8× 8 235
Giang Bui United States 6 51 0.5× 70 0.8× 29 0.6× 20 1.2× 34 2.0× 11 133
Christian Reiser Germany 4 107 1.0× 163 1.8× 147 3.1× 18 1.1× 32 1.9× 5 235
Daeyun Shin United States 3 87 0.8× 126 1.4× 47 1.0× 33 1.9× 46 2.7× 5 166
Oscar Michel United States 1 104 0.9× 155 1.7× 97 2.0× 19 1.1× 34 2.0× 2 236

Countries citing papers authored by Zorah Lähner

Since Specialization
Citations

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

Fields of papers citing papers by Zorah Lähner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zorah Lähner

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

All Works

12 of 12 papers shown
1.
Lähner, Zorah, et al.. (2025). Denoising Functional Maps: Diffusion Models for Shape Correspondence. 26899–26909. 2 indexed citations
2.
Bastian, Lennart, et al.. (2024). Hybrid Functional Maps for Crease-Aware Non-Isometric Shape Matching. 3313–3323. 1 indexed citations
3.
Lähner, Zorah, et al.. (2023). CCuantuMM: Cycle-Consistent Quantum-Hybrid Matching of Multiple Shapes. 1296–1305. 5 indexed citations
4.
Lähner, Zorah, et al.. (2023). ΣIGMA: Scale-Invariant Global Sparse Shape Matching. 645–654. 3 indexed citations
5.
Lähner, Zorah, et al.. (2023). Conjugate Product Graphs for Globally Optimal 2D-3D Shape Matching. 2 indexed citations
6.
Lähner, Zorah, et al.. (2021). Isometric Multi-Shape Matching. 14178–14188. 12 indexed citations
7.
Lähner, Zorah, et al.. (2020). Simulated Annealing for 3D Shape Correspondence. 252–260. 9 indexed citations
8.
Eisenberger, Martin, Zorah Lähner, & Daniel Cremers. (2019). Divergence‐Free Shape Correspondence by Deformation. Computer Graphics Forum. 38(5). 1–12. 31 indexed citations
9.
Rodolà, Emanuele, Zorah Lähner, Alex Bronstein, Michael M. Bronstein, & Justin Solomon. (2019). Functional Maps Representation On Product Manifolds. Computer Graphics Forum. 38(1). 678–689. 6 indexed citations
10.
Vestner, Matthias, Zorah Lähner, Or Litany, et al.. (2017). Efficient Deformable Shape Correspondence via Kernel Matching. IRIS Research product catalog (Sapienza University of Rome). 517–526. 55 indexed citations
11.
Lähner, Zorah, Emanuele Rodolà, Michael M. Bronstein, et al.. (2016). Matching of Deformable Shapes with Topological Noise. OpenMETU (Middle East Technical University). 10 indexed citations
12.
Lähner, Zorah, Emanuele Rodolà, Frank Schmidt, Michael M. Bronstein, & Daniel Cremers. (2016). Efficient Globally Optimal 2D-to-3D Deformable Shape Matching. 2185–2193. 16 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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