Thomas Schöps

5.4k total citations · 2 hit papers
8 papers, 1.1k citations indexed

About

Thomas Schöps is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Geology. According to data from OpenAlex, Thomas Schöps has authored 8 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 7 papers in Aerospace Engineering and 3 papers in Geology. Recurrent topics in Thomas Schöps's work include Advanced Vision and Imaging (7 papers), Robotics and Sensor-Based Localization (7 papers) and 3D Surveying and Cultural Heritage (3 papers). Thomas Schöps is often cited by papers focused on Advanced Vision and Imaging (7 papers), Robotics and Sensor-Based Localization (7 papers) and 3D Surveying and Cultural Heritage (3 papers). Thomas Schöps collaborates with scholars based in Switzerland, United States and Germany. Thomas Schöps's co-authors include Marc Pollefeys, Torsten Sattler, Konrad Schindler, Johannes L. Schönberger, Andreas Geiger, Silvano Galliani, Daniel Cremers, Jakob Engel, Christian Häne and Seonwook Park and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Visualization and Computer Graphics and Computer Vision and Image Understanding.

In The Last Decade

Thomas Schöps

8 papers receiving 1.1k citations

Hit Papers

A Multi-view Stereo Benchmark with High-Resolution Images... 2017 2026 2020 2023 2017 2019 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas Schöps Switzerland 8 890 635 326 118 108 8 1.1k
Enrique Dunn United States 15 734 0.8× 481 0.8× 156 0.5× 51 0.4× 70 0.6× 40 860
C. Engels United States 6 946 1.1× 769 1.2× 289 0.9× 50 0.4× 164 1.5× 7 1.1k
Michal Havlena Switzerland 12 567 0.6× 434 0.7× 181 0.6× 52 0.4× 95 0.9× 28 755
Katrin Lasinger Austria 6 891 1.0× 229 0.4× 152 0.5× 183 1.6× 80 0.7× 8 1.1k
H. Towles United States 9 706 0.8× 424 0.7× 247 0.8× 112 0.9× 150 1.4× 10 913
Christian Kerl Germany 11 1.3k 1.5× 1.4k 2.3× 621 1.9× 32 0.3× 134 1.2× 13 1.6k
El Mustapha Mouaddib France 13 542 0.6× 200 0.3× 140 0.4× 115 1.0× 47 0.4× 45 698
Bernhard Zeisl Switzerland 9 449 0.5× 405 0.6× 184 0.6× 36 0.3× 102 0.9× 14 657
Motilal Agrawal United States 14 759 0.9× 745 1.2× 129 0.4× 41 0.3× 88 0.8× 21 1.0k
Olaf Kähler United Kingdom 11 480 0.5× 420 0.7× 196 0.6× 19 0.2× 77 0.7× 18 604

Countries citing papers authored by Thomas Schöps

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Schöps

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Schöps

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

All Works

8 of 8 papers shown
1.
Schöps, Thomas, Torsten Sattler, & Marc Pollefeys. (2019). BAD SLAM: Bundle Adjusted Direct RGB-D SLAM. Chalmers Research (Chalmers University of Technology). 134–144. 226 indexed citations breakdown →
2.
Schöps, Thomas, Torsten Sattler, & Marc Pollefeys. (2019). SurfelMeshing: Online Surfel-Based Mesh Reconstruction. IEEE Transactions on Pattern Analysis and Machine Intelligence. 42(10). 2494–2507. 49 indexed citations
3.
Schöps, Thomas, Johannes L. Schönberger, Silvano Galliani, et al.. (2017). A Multi-view Stereo Benchmark with High-Resolution Images and Multi-camera Videos. 2538–2547. 505 indexed citations breakdown →
4.
Schöps, Thomas, et al.. (2017). Real-Time View Correction for Mobile Devices. IEEE Transactions on Visualization and Computer Graphics. 23(11). 2455–2462. 13 indexed citations
5.
Park, Seonwook, Thomas Schöps, & Marc Pollefeys. (2017). Illumination change robustness in direct visual SLAM. 4523–4530. 62 indexed citations
6.
Schöps, Thomas, Torsten Sattler, Christian Häne, & Marc Pollefeys. (2016). Large-scale outdoor 3D reconstruction on a mobile device. Computer Vision and Image Understanding. 157. 151–166. 47 indexed citations
7.
Schöps, Thomas, Torsten Sattler, Christian Häne, & Marc Pollefeys. (2015). 3D Modeling on the Go: Interactive 3D Reconstruction of Large-Scale Scenes on Mobile Devices. 291–299. 77 indexed citations
8.
Schöps, Thomas, Jakob Engel, & Daniel Cremers. (2014). Semi-dense visual odometry for AR on a smartphone. 105 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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