Thomas Schöps

5.6k citations
10 papers · 4.2k · 3 hit papers · h-index 10

Impact in

Papers in

Thomas Schöps

10 papers receiving 4.1k citations

Thomas Schöps's Hit Papers

BAD SLAM: Bundle Adjusted Direct RGB-D SLAM 2019 · 291 citations
2910+4+8Years since publication5001k1.5k2k2.5k

Peers

Thomas Schöps
Comparison fields: 5 of 64
  • Aerospace Engineering 2.8k
  • Computer Vision and Pattern Recognition 1.3k
  • Geology 278
  • Computational Mechanics 322
  • Computer Graphics and Computer-Aided Design 45
Replace Felix Endres with:
Felix Endres Germany
Nikolas Engelhard Germany
Akihiko Torii Japan
Maxime Lhuillier France
Victor Adrian Prisacariu United Kingdom
Peter Henry United States
Hauke Strasdat United Kingdom
Martin R. Oswald Switzerland
Michael Krainin United States
Michel Dhome France
Thomas Schöps relative to Felix Endres Germany Felix Endres's profile →
Citations per field
00.5×1.5×1.9×
Felix Endres · 1×
Citations per year

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-authors

The 13 scholars most cited alongside Thomas Schöps, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Thomas Schöps Line = papers co-authored together Thomas Schöps links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1
LSD-SLAM: Large-Scale Direct Monocular SLAM
Hit paper breakdown →
20142819
2
A Multi-view Stereo Benchmark with High-Resolution Images and Multi-camera Videos
Hit paper breakdown →
2017656
3
BAD SLAM: Bundle Adjusted Direct RGB-D SLAM
Hit paper breakdown →
2019291
4 2014124
5 201586
6 201773
7 201969
8 201657
9 202042
10 201715

About Thomas Schöps

Thomas Schöps is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Computer Graphics and Computer-Aided Design, Geology and Computational Mechanics, having authored 10 papers that have together received 4.2k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (5 papers), Robotics and Sensor-Based Localization (5 papers), Optical measurement and interference techniques (1 paper), 3D Shape Modeling and Analysis (1 paper), Computer Graphics and Visualization Techniques (1 paper) and 3D Surveying and Cultural Heritage (1 paper). The work is most often cited by research in Aerospace Engineering (2.8k citations), Computer Vision and Pattern Recognition (1.3k citations), Geology (278 citations), Computational Mechanics (322 citations) and Computer Graphics and Computer-Aided Design (45 citations). Thomas Schöps has collaborated with scholars based in Switzerland, United States and Sweden. Frequent co-authors include Daniel Cremers, Jakob Julian Engel, Marc Pollefeys, Torsten Sattler, Johannes L. Schönberger, Silvano Galliani, Konrad Schindler, Andreas Geiger, Christian Häne and Seonwook Park. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, IEEE Transactions on Pattern Analysis and Machine Intelligence, Computer Vision and Image Understanding, Lecture notes in computer science and Proceedings - IEEE International Conference on Robotics and Automation/Proceedings.

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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