Jan Steinbrener

3.7k total citations
32 papers, 589 citations indexed

About

Jan Steinbrener is a scholar working on Radiation, Aerospace Engineering and Structural Biology. According to data from OpenAlex, Jan Steinbrener has authored 32 papers receiving a total of 589 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Radiation, 9 papers in Aerospace Engineering and 8 papers in Structural Biology. Recurrent topics in Jan Steinbrener's work include Advanced X-ray Imaging Techniques (10 papers), Robotics and Sensor-Based Localization (8 papers) and Advanced Electron Microscopy Techniques and Applications (8 papers). Jan Steinbrener is often cited by papers focused on Advanced X-ray Imaging Techniques (10 papers), Robotics and Sensor-Based Localization (8 papers) and Advanced Electron Microscopy Techniques and Applications (8 papers). Jan Steinbrener collaborates with scholars based in Austria, United States and Germany. Jan Steinbrener's co-authors include Raimund Leitner, Johanna Nelson Weker, Chris Jacobsen, Joshua J. Turner, Xiaojing Huang, David A. Shapiro, Janos Kirz, Aaron M. Neiman, Andrew Stewart and Stephan Weiß and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Optics Express.

In The Last Decade

Jan Steinbrener

31 papers receiving 567 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jan Steinbrener Austria 11 302 183 97 82 82 32 589
Ruihai Wang China 14 306 1.0× 78 0.4× 66 0.7× 14 0.2× 2 0.0× 34 533
Zhong Zhao China 9 86 0.3× 9 0.0× 66 0.7× 2 0.0× 60 0.7× 69 370
Ning Zhou China 10 172 0.6× 19 0.1× 119 1.2× 8 0.1× 2 0.0× 50 449
Chun Xie China 10 33 0.1× 4 0.0× 55 0.6× 29 0.4× 17 0.2× 37 360
Samuel Pinilla Colombia 11 98 0.3× 13 0.1× 92 0.9× 1 0.0× 4 0.0× 35 315
S. F. Burch United Kingdom 11 24 0.1× 5 0.0× 54 0.6× 3 0.0× 26 0.3× 27 502
Jianbin Zhou China 11 109 0.4× 4 0.0× 60 0.6× 1 0.0× 9 0.1× 42 365
Richard Dudley United Kingdom 15 33 0.1× 111 1.1× 21 0.3× 11 0.1× 56 764
Jorge Bacca Colombia 11 44 0.1× 5 0.0× 169 1.7× 4 0.0× 11 0.1× 55 420
Xianxin Guo Hong Kong 12 37 0.1× 1 0.0× 25 0.3× 13 0.2× 4 0.0× 22 633

Countries citing papers authored by Jan Steinbrener

Since Specialization
Citations

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

Fields of papers citing papers by Jan Steinbrener

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Steinbrener

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

All Works

20 of 20 papers shown
1.
Weiß, Stephan, et al.. (2025). CaRoSaC: A Reinforcement Learning-Based Kinematic Control of Cable-Driven Parallel Robots by Addressing Cable Sag Through Simulation. IEEE Robotics and Automation Letters. 10(6). 5345–5352. 2 indexed citations
2.
Delaune, Jeff, et al.. (2024). The INSANE dataset: Large number of sensors for challenging UAV flights in Mars analog, outdoor, and out-/indoor transition scenarios. The International Journal of Robotics Research. 43(8). 1083–1113. 6 indexed citations
3.
Weiss, Stephan, et al.. (2024). AIVIO: Closed-Loop, Object-Relative Navigation of UAVs With AI-Aided Visual Inertial Odometry. IEEE Robotics and Automation Letters. 9(12). 10764–10771. 1 indexed citations
4.
Weiß, Stephan, et al.. (2023). Bridging the simulation-to-real gap for AI-based needle and target detection in robot-assisted ultrasound-guided interventions. European Radiology Experimental. 7(1). 4 indexed citations
5.
Steinbrener, Jan, et al.. (2023). Learning metric volume estimation of fruits and vegetables from short monocular video sequences. Heliyon. 9(4). e14722–e14722. 4 indexed citations
6.
Weiss, Stephan, et al.. (2023). AI-Based Multi-Object Relative State Estimation with Self-Calibration Capabilities. 2789–2795. 2 indexed citations
7.
Jung, Roland, et al.. (2022). CNS Flight Stack for Reproducible, Customizable, and Fully Autonomous Applications. IEEE Robotics and Automation Letters. 7(4). 11283–11290. 6 indexed citations
8.
Steinbrener, Jan, et al.. (2022). Improved State Propagation through AI-based Pre-processing and Down-sampling of High-Speed Inertial Data. 2022 International Conference on Robotics and Automation (ICRA). 6084–6090. 8 indexed citations
9.
Steinbrener, Jan, et al.. (2020). Measuring the Uncertainty of Predictions in Deep Neural Networks with Variational Inference. Sensors. 20(21). 6011–6011. 13 indexed citations
10.
Jung, Roland, et al.. (2020). MaRS: A Modular and Robust Sensor-Fusion Framework. IEEE Robotics and Automation Letters. 6(2). 359–366. 24 indexed citations
11.
Steinbrener, Jan, et al.. (2019). Hyperspectral fruit and vegetable classification using convolutional neural networks. Computers and Electronics in Agriculture. 162. 364–372. 119 indexed citations
12.
Richter, Péter, Jan Steinbrener, Andreas Schicho, & Florian Gebhard. (2016). Does the choice of mobile C-arms lead to a reduction of the intraoperative radiation dose?. Injury. 47(8). 1608–1612. 7 indexed citations
13.
Kassemeyer, Stephan, Aliakbar Jafarpour, Lukas Lomb, et al.. (2013). Optimal mapping of x-ray laser diffraction patterns into three dimensions using routing algorithms. Physical Review E. 88(4). 42710–42710. 23 indexed citations
14.
Huang, Xiaojing, Johanna Nelson Weker, Joshua J. Turner, et al.. (2011). Anti-contamination device for cryogenic soft X-ray diffraction microscopy. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 638(1). 171–175. 3 indexed citations
15.
Weker, Johanna Nelson, et al.. (2010). Incorrect support and missing center tolerances of phasing algorithms. Optics Express. 18(25). 26441–26441. 32 indexed citations
16.
Steinbrener, Jan, Johanna Nelson Weker, Xiaojing Huang, et al.. (2010). Data preparation and evaluation techniques for x-ray diffraction microscopy. Optics Express. 18(18). 18598–18598. 21 indexed citations
17.
Weker, Johanna Nelson, Xiaojing Huang, Jan Steinbrener, et al.. (2010). High-resolution x-ray diffraction microscopy of specifically labeled yeast cells. Proceedings of the National Academy of Sciences. 107(16). 7235–7239. 77 indexed citations
18.
Huang, Xiaojing, Jan Steinbrener, Johanna Nelson Weker, et al.. (2009). Signal-to-noise and radiation exposure considerations in conventional and diffraction x-ray microscopy. Optics Express. 17(16). 13541–13541. 51 indexed citations
19.
Miao, Houxun, Kenneth H. Downing, Xiaojing Huang, et al.. (2009). Cryo diffraction microscopy: Ice conditions and finite supports. Journal of Physics Conference Series. 186. 12055–12055. 2 indexed citations
20.
Huang, Xiaojing, Johanna Nelson Weker, Janos Kirz, et al.. (2009). Soft X-Ray Diffraction Microscopy of a Frozen Hydrated Yeast Cell. Physical Review Letters. 103(19). 198101–198101. 101 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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