Fabian Langguth

636 total citations
10 papers, 353 citations indexed

About

Fabian Langguth is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Geology. According to data from OpenAlex, Fabian Langguth has authored 10 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 6 papers in Computer Graphics and Computer-Aided Design and 5 papers in Geology. Recurrent topics in Fabian Langguth's work include Advanced Vision and Imaging (9 papers), Computer Graphics and Visualization Techniques (6 papers) and 3D Surveying and Cultural Heritage (5 papers). Fabian Langguth is often cited by papers focused on Advanced Vision and Imaging (9 papers), Computer Graphics and Visualization Techniques (6 papers) and 3D Surveying and Cultural Heritage (5 papers). Fabian Langguth collaborates with scholars based in Germany, United Kingdom and United States. Fabian Langguth's co-authors include Michael Goesele, Simon Fuhrmann, Jens Ackermann, Michael Waechter, Nils Moehrle, Johannes Kopf, Daniel Scharstein, Richard Szeliski, Stefan Guthe and Reinhard Klein and has published in prestigious journals such as ACM Transactions on Graphics, Computer and Computers & Graphics.

In The Last Decade

Fabian Langguth

10 papers receiving 346 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fabian Langguth Germany	8	268	123	115	109	66	10	353
Qingan Yan China	15	325 1.2×	111 0.9×	102 0.9×	117 1.1×	39 0.6×	26	440
Ben Ward Australia	10	263 1.0×	82 0.7×	71 0.6×	117 1.1×	24 0.4×	16	335
Simon Fuhrmann Germany	14	469 1.8×	238 1.9×	233 2.0×	207 1.9×	117 1.8×	21	651
Daniel Méneveaux France	8	172 0.6×	54 0.4×	102 0.9×	45 0.4×	32 0.5×	24	290
Chuhang Zou United States	8	279 1.0×	137 1.1×	64 0.6×	113 1.0×	63 1.0×	11	389
Marie‐Julie Rakotosaona United States	7	208 0.8×	96 0.8×	104 0.9×	55 0.5×	77 1.2×	8	350
Jan Tops Belgium	6	559 2.1×	249 2.0×	93 0.8×	332 3.0×	111 1.7×	7	692
Jens Ackermann Germany	9	236 0.9×	55 0.4×	143 1.2×	32 0.3×	33 0.5×	13	296
Le Hui China	12	208 0.8×	161 1.3×	51 0.4×	103 0.9×	98 1.5×	41	435
Mingyang Shang China	9	189 0.7×	128 1.0×	84 0.7×	125 1.1×	28 0.4×	19	395

Countries citing papers authored by Fabian Langguth

Since Specialization

Citations

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

Fields of papers citing papers by Fabian Langguth

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabian Langguth

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

All Works

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10 of 10 papers shown

1.

Langguth, Fabian, et al.. (2017). Visibility-consistent thin surface reconstruction using multi-scale kernels. ACM Transactions on Graphics. 36(6). 1–13. 18 indexed citations

2.

Weinmann, Michael, Fabian Langguth, Michael Goesele, & Reinhard Klein. (2016). Advances in Geometry and Reflectance Acquisition. Eurographics. 11 indexed citations

3.

Fuhrmann, Simon, Fabian Langguth, Nils Moehrle, Michael Waechter, & Michael Goesele. (2015). MVE—An image-based reconstruction environment. Computers & Graphics. 53. 44–53. 70 indexed citations

4.

Fuhrmann, Simon, Fabian Langguth, & Michael Goesele. (2014). MVE - A Multi-View Reconstruction Environment. Eurographics. 117 indexed citations

5.

Ackermann, Jens, Fabian Langguth, Simon Fuhrmann, Arjan Kuijper, & Michael Goesele. (2014). Multi-view Photometric Stereo by Example. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 259–266. 7 indexed citations

6.

Langguth, Fabian & Michael Goesele. (2013). Guided Capturing of Multi-view Stereo Datasets. Eurographics. 93–96. 3 indexed citations

7.

Kopf, Johannes, Fabian Langguth, Daniel Scharstein, Richard Szeliski, & Michael Goesele. (2013). Image-based rendering in the gradient domain. ACM Transactions on Graphics. 32(6). 1–9. 48 indexed citations

8.

Ackermann, Jens, Fabian Langguth, Simon Fuhrmann, & Michael Goesele. (2012). Photometric stereo for outdoor webcams. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 262–269. 57 indexed citations

9.

Langguth, Fabian, et al.. (2011). High resolution acquisition of detailed surfaces with lens-shifted structured light. Computers & Graphics. 36(1). 16–27. 8 indexed citations

10.

Goesele, Michael, et al.. (2010). Scene Reconstruction from Community Photo Collections. Computer. 43(6). 48–53. 14 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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