Benjamin Busam

2.2k citations
81 papers · 1.4k · 1 hit paper · h-index 22

Impact in

Papers in

Benjamin Busam

72 papers receiving 1.4k citations

Benjamin Busam's Hit Papers

Rotation-Invariant Transformer for Point Cloud Matching 2023 · 87 citations
870+1+2Years since publication255075

Peers

Benjamin Busam
Comparison fields: 5 of 57
  • Computer Vision and Pattern Recognition 705
  • Computational Mechanics 521
  • Control and Systems Engineering 540
  • Health Informatics 16
  • Instrumentation 12
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Iro Laina United Kingdom
Minh Vo United States
Dylan Campbell Australia
Xiaolong Wang United States
João Pedro Barreto Portugal
Justin H. Kerr United States
Dror Aiger Israel
Yuichi Taguchi United States
Markus Ulrich Germany
Qingnan Fan China
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Citations per field
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Citations per year

Countries citing papers authored by Benjamin Busam

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin Busam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2022127
2 2019101
3
Rotation-Invariant Transformer for Point Cloud Matching
Hit paper breakdown →
202387
4 202182
5 202266
6 202253
7 202444
8 202342
9 202041
10 202238
11 202336
12 202131
13 202330
14 201929
15 201929
16 202125
17 202125
18 202425
19 201724
20 202324

About Benjamin Busam

Benjamin Busam is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Control and Systems Engineering, Radiology, Nuclear Medicine and Imaging and Aerospace Engineering, having authored 81 papers that have together received 1.4k indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (29 papers), Robot Manipulation and Learning (28 papers), Advanced Vision and Imaging (16 papers), Advanced Neural Network Applications (15 papers), Medical Image Segmentation Techniques (7 papers), Surgical Simulation and Training (5 papers), Robotics and Sensor-Based Localization (4 papers) and Domain Adaptation and Few-Shot Learning (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (705 citations), Computational Mechanics (521 citations), Control and Systems Engineering (540 citations), Health Informatics (16 citations) and Instrumentation (12 citations). Benjamin Busam has collaborated with scholars based in Germany, United States and China. Frequent co-authors include Nassir Navab, Federico Tombari, Slobodan Ilić, Mahdi Saleh, Fabian Manhardt, Ivan Shugurov, Tolga Birdal, Jason Raphael Rambach, Yongzhi Su and Didier Stricker. Their work appears in journals such as IEEE Robotics and Automation Letters, International Journal of Computer Assisted Radiology and Surgery, International Journal of Computer Vision, IEEE Transactions on Pattern Analysis and Machine Intelligence and Lecture notes in computer science.

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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