Bertram Drost

2.3k citations
14 papers · 1.7k · 2 hit papers · h-index 10

Impact in

Papers in

Bertram Drost

14 papers receiving 1.7k citations

Bertram Drost's Hit Papers

BOP: Benchmark for 6D Object Pose Estimation 2018 · 327 citations
3270+5+10Years since publication250500750

Peers

Bertram Drost
Comparison fields: 5 of 42
  • Control and Systems Engineering 995
  • Computer Vision and Pattern Recognition 835
  • Computational Mechanics 759
  • Geology 41
  • Aerospace Engineering 153
Replace Gu Wang with:
Gu Wang China
Frank Michel Germany
Wadim Kehl Germany
Sergey Zakharov Germany
Tomáš Hodaň Czechia
Maximilian Durner Germany
Suat Gedikli Germany
Tim Bodenmüller Germany
Mahdi Rad Austria
Bertram Drost relative to Gu Wang China Gu Wang's profile →
Citations per field
00.5×20×40×53×
Gu Wang · 1×
Citations per year

Countries citing papers authored by Bertram Drost

Since Specialization
Citations

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

Fields of papers citing papers by Bertram Drost

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Bertram Drost, 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 Bertram Drost Line = papers co-authored together Bertram Drost links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1
Model globally, match locally: Efficient and robust 3D object recognition
Hit paper breakdown →
2010799
2
BOP: Benchmark for 6D Object Pose Estimation
Hit paper breakdown →
2018327
3 2020200
4 2017126
5 201263
6 202353
7 201731
8 202430
9 201525
10 202021
11 20178
12 20135
13 20153
14 20192

About Bertram Drost

Bertram Drost is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Control and Systems Engineering, Computer Graphics and Computer-Aided Design and Signal Processing, having authored 14 papers that have together received 1.7k indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (8 papers), Robot Manipulation and Learning (7 papers), Advanced Neural Network Applications (6 papers), Advanced Image and Video Retrieval Techniques (4 papers), Computational Geometry and Mesh Generation (2 papers), Data Management and Algorithms (2 papers) and Image and Object Detection Techniques (1 paper). The work is most often cited by research in Control and Systems Engineering (995 citations), Computer Vision and Pattern Recognition (835 citations), Computational Mechanics (759 citations), Geology (41 citations) and Aerospace Engineering (153 citations). Bertram Drost has collaborated with scholars based in Germany, Czechia and France. Frequent co-authors include Slobodan Ilić, Markus Ulrich, Nassir Navab, Tomáš Hodaň, Jiřı́ Matas, Eric Brachmann, Carsten Rother, Frank Michel, Martin Sundermeyer and Yann Labbé. Their work appears in journals such as Computer Vision and Image Understanding, Machine Vision and Applications, Lecture notes in computer science, International Conference on 3D Vision (3DV) and IEEE International Conference on Computer Vision Workshops.

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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