Bertram Drost

2.0k total citations · 1 hit paper
9 papers, 870 citations indexed

About

Bertram Drost is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Geology. According to data from OpenAlex, Bertram Drost has authored 9 papers receiving a total of 870 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Aerospace Engineering, 7 papers in Computer Vision and Pattern Recognition and 6 papers in Geology. Recurrent topics in Bertram Drost's work include Robotics and Sensor-Based Localization (8 papers), 3D Surveying and Cultural Heritage (6 papers) and Image and Object Detection Techniques (3 papers). Bertram Drost is often cited by papers focused on Robotics and Sensor-Based Localization (8 papers), 3D Surveying and Cultural Heritage (6 papers) and Image and Object Detection Techniques (3 papers). Bertram Drost collaborates with scholars based in Germany, Czechia and China. Bertram Drost's co-authors include Slobodan Ilić, Markus Ulrich, Nassir Navab, Paul Bergmann, Carsten Steger, Gu Wang, Federico Tombari, Norbert Krüger, Anders Glent Buch and Eric Brachmann and has published in prestigious journals such as Computer Vision and Image Understanding, Machine Vision and Applications and mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich).

In The Last Decade

Bertram Drost

8 papers receiving 833 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Model globally, match locally: Efficient and robust 3D object recognition

2010 631 citations Bertram Drost, Markus Ulrich et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bertram Drost Germany	7	584	527	328	277	133	9	870
Aitor Aldomà Austria	9	408 0.7×	412 0.8×	206 0.6×	227 0.8×	83 0.6×	11	686
Suat Gedikli Germany	7	434 0.7×	613 1.2×	137 0.4×	264 1.0×	226 1.7×	12	954
Frank Michel Germany	9	653 1.1×	760 1.4×	318 1.0×	145 0.5×	52 0.4×	15	965
Eric Brachmann Germany	9	699 1.2×	776 1.5×	342 1.0×	152 0.5×	52 0.4×	15	973
Srikumar Ramalingam United States	15	567 1.0×	574 1.1×	89 0.3×	310 1.1×	143 1.1×	23	851
Benjamin Busam Germany	16	245 0.4×	422 0.8×	238 0.7×	112 0.4×	92 0.7×	52	706
JJ Hsu United States	4	393 0.7×	356 0.7×	123 0.4×	213 0.8×	68 0.5×	4	601
Cédric Cagniart Germany	8	541 0.9×	773 1.5×	431 1.3×	111 0.4×	97 0.7×	12	1.0k
Stefan Hinterstoißer Germany	13	790 1.4×	1.0k 1.9×	452 1.4×	168 0.6×	34 0.3×	14	1.3k
Fengshui Jing China	17	141 0.2×	320 0.6×	217 0.7×	94 0.3×	59 0.4×	60	800

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-authorship network of co-authors of Bertram Drost

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Hodaň, Tomáš, Martin Sundermeyer, Yann Labbé, et al.. (2024). BOP Challenge 2023 on Detection, Segmentation and Pose Estimation of Seen and Unseen Rigid Objects. 5610–5619. 14 indexed citations

2.

Sundermeyer, Martin, Tomáš Hodaň, Yann Labbé, et al.. (2023). BOP Challenge 2022 on Detection, Segmentation and Pose Estimation of Specific Rigid Objects. 2785–2794. 31 indexed citations

3.

Drost, Bertram, et al.. (2017). A performance evaluation of point pair features. Computer Vision and Image Understanding. 166. 66–80. 26 indexed citations

4.

Drost, Bertram, et al.. (2017). Introducing MVTec ITODD — A Dataset for 3D Object Recognition in Industry. 2200–2208. 89 indexed citations

5.

Drost, Bertram & Slobodan Ilić. (2017). Almost constant-time 3D nearest-neighbor lookup using implicit octrees. Machine Vision and Applications. 29(2). 299–311. 6 indexed citations

6.

Drost, Bertram. (2016). Point Cloud Computing for Rigid and Deformable 3D Object Recognition. mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich). 1 indexed citations

7.

Drost, Bertram & Slobodan Ilić. (2015). Local Hough Transform for 3D Primitive Detection. 398–406. 19 indexed citations

8.

Drost, Bertram & Slobodan Ilić. (2012). 3D Object Detection and Localization Using Multimodal Point Pair Features. 53 indexed citations

9.

Drost, Bertram, Markus Ulrich, Nassir Navab, & Slobodan Ilić. (2010). Model globally, match locally: Efficient and robust 3D object recognition. 998–1005. 631 indexed citations breakdown →

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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