Benjamin Ummenhofer

1.4k total citations
9 papers, 221 citations indexed

About

Benjamin Ummenhofer is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Computational Mechanics. According to data from OpenAlex, Benjamin Ummenhofer has authored 9 papers receiving a total of 221 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 5 papers in Computer Graphics and Computer-Aided Design and 4 papers in Computational Mechanics. Recurrent topics in Benjamin Ummenhofer's work include Computer Graphics and Visualization Techniques (5 papers), Advanced Vision and Imaging (4 papers) and 3D Shape Modeling and Analysis (4 papers). Benjamin Ummenhofer is often cited by papers focused on Computer Graphics and Visualization Techniques (5 papers), Advanced Vision and Imaging (4 papers) and 3D Shape Modeling and Analysis (4 papers). Benjamin Ummenhofer collaborates with scholars based in Germany, United States and Hong Kong. Benjamin Ummenhofer's co-authors include Thomas Brox, Huizhong Zhou, Vladlen Koltun, José M. Fácil, Luis Montesano, Javier Civera, Lukas Prantl, Nils Thürey, Sreenivas Subramoney and Kai Zhang and has published in prestigious journals such as International Journal of Computer Vision, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

In The Last Decade

Benjamin Ummenhofer

9 papers receiving 217 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Benjamin Ummenhofer Germany	7	157	67	64	52	41	9	221
Enliang Zheng United States	7	233 1.5×	32 0.5×	94 1.5×	22 0.4×	61 1.5×	11	266
Daeyun Shin United States	3	126 0.8×	87 1.3×	33 0.5×	47 0.9×	46 1.1×	5	166
Ruixuan Yu China	6	190 1.2×	175 2.6×	29 0.5×	47 0.9×	108 2.6×	10	315
Andréas Meuleman South Korea	7	178 1.1×	34 0.5×	60 0.9×	82 1.6×	25 0.6×	13	228
Daniel Méneveaux France	8	172 1.1×	55 0.8×	45 0.7×	102 2.0×	54 1.3×	24	290
Robert F. Tobler Austria	11	145 0.9×	61 0.9×	12 0.2×	146 2.8×	31 0.8×	42	265
Jason Rock United States	5	227 1.4×	72 1.1×	33 0.5×	50 1.0×	36 0.9×	5	261
Yiqun Wang China	9	110 0.7×	66 1.0×	35 0.5×	58 1.1×	28 0.7×	37	214
Renjiao Yi China	8	103 0.7×	67 1.0×	17 0.3×	53 1.0×	29 0.7×	25	176

Countries citing papers authored by Benjamin Ummenhofer

Since Specialization

Citations

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

Fields of papers citing papers by Benjamin Ummenhofer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benjamin Ummenhofer

This figure shows the co-authorship network connecting the top 25 collaborators of Benjamin Ummenhofer. A scholar is included among the top collaborators of Benjamin Ummenhofer 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 Benjamin Ummenhofer. Benjamin Ummenhofer 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

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

Ummenhofer, Benjamin, et al.. (2022). Segment-Fusion: Hierarchical Context Fusion for Robust 3D Semantic Segmentation. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 1226–1235. 4 indexed citations

Ummenhofer, Benjamin & Vladlen Koltun. (2021). Adaptive Surface Reconstruction with Multiscale Convolutional Kernels. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 5631–5640. 16 indexed citations

Ummenhofer, Benjamin, Lukas Prantl, Nils Thürey, & Vladlen Koltun. (2020). Lagrangian Fluid Simulation with Continuous Convolutions. International Conference on Learning Representations. 38 indexed citations

Zhou, Huizhong, Benjamin Ummenhofer, & Thomas Brox. (2019). DeepTAM: Deep Tracking and Mapping with Convolutional Neural Networks. International Journal of Computer Vision. 128(3). 756–769. 20 indexed citations

Fácil, José M., Benjamin Ummenhofer, Huizhong Zhou, et al.. (2019). CAM-Convs: Camera-Aware Multi-Scale Convolutions for Single-View Depth. Zaguan (University of Zaragoza Repository). 11818–11827. 74 indexed citations

Ummenhofer, Benjamin & Thomas Brox. (2017). Global, Dense Multiscale Reconstruction for a Billion Points. International Journal of Computer Vision. 125(1-3). 82–94. 13 indexed citations

Ummenhofer, Benjamin & Thomas Brox. (2015). Global, Dense Multiscale Reconstruction for a Billion Points. 1341–1349. 35 indexed citations

Ummenhofer, Benjamin & Thomas Brox. (2013). Point-Based 3D Reconstruction of Thin Objects. 969–976. 18 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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