Stefan Suwelack

488 total citations
22 papers, 345 citations indexed

About

Stefan Suwelack is a scholar working on Computer Vision and Pattern Recognition, Surgery and Computational Mechanics. According to data from OpenAlex, Stefan Suwelack has authored 22 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 10 papers in Surgery and 9 papers in Computational Mechanics. Recurrent topics in Stefan Suwelack's work include Surgical Simulation and Training (10 papers), Robotics and Sensor-Based Localization (7 papers) and 3D Shape Modeling and Analysis (7 papers). Stefan Suwelack is often cited by papers focused on Surgical Simulation and Training (10 papers), Robotics and Sensor-Based Localization (7 papers) and 3D Shape Modeling and Analysis (7 papers). Stefan Suwelack collaborates with scholars based in Germany, United States and Sweden. Stefan Suwelack's co-authors include Rüdiger Dillmann, Beat P. Müller‐Stich, Sebastian Bodenstedt, Stefanie Speidel, Martin Wagner, Lena Maier‐Hein, Hannes Kenngott, Anna-Laura Wekerle, Hannes Kenngott and Hannes Götz Kenngott and has published in prestigious journals such as Medical Physics, Medical Image Analysis and Surgical Endoscopy.

In The Last Decade

Stefan Suwelack

22 papers receiving 333 citations

Peers

Stefan Suwelack

CVPR

SURGE

Nazim Haouchine United States

Adrian J. Chung United Kingdom

Marco Visentini-Scarzanella United Kingdom

François Chadebecq United Kingdom

Jérémie Dequidt France

A. Groch Germany

Rafael Palomar Norway

Erol Özgür France

Sylvain Bernhardt France

Hadrien Courtecuisse France

Nazim Haouchine United States

Stefan Suwelack

217 ×1.0

CVPR

185 ×1.2

175 ×1.3

SURGE

90 ×0.8

53 ×1.0

Citations per year, relative to Stefan Suwelack Stefan Suwelack (= 1×) peers Nazim Haouchine

Countries citing papers authored by Stefan Suwelack

Since Specialization

Citations

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

Fields of papers citing papers by Stefan Suwelack

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefan Suwelack

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

All Works

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20 of 20 papers shown

Suwelack, Stefan, et al.. (2023). Bridging the Gap between Geometry and User Intent: Retrieval of CAD Models via Regions of Interest. Computer-Aided Design. 163. 103573–103573. 3 indexed citations

Suwelack, Stefan, et al.. (2021). Data-Efficient Machine Learning on 3D Engineering Data. Journal of Mechanical Design. 1–14. 2 indexed citations

Bodenstedt, Sebastian, Stefan Suwelack, Martin Wagner, et al.. (2017). Projective biomechanical depth matching for soft tissue registration in laparoscopic surgery. International Journal of Computer Assisted Radiology and Surgery. 12(7). 1101–1110. 24 indexed citations

Wagner, Martin, Matthias Gondan, Felix Nickel, et al.. (2015). Electromagnetic organ tracking allows for real-time compensation of tissue shift in image-guided laparoscopic rectal surgery: results of a phantom study. Surgical Endoscopy. 30(2). 495–503. 14 indexed citations

Bodenstedt, Sebastian, Stefan Suwelack, Anas Amin Preukschas, et al.. (2015). Intraoperative on-the-fly organ-mosaicking for laparoscopic surgery. Journal of Medical Imaging. 2(4). 45001–45001. 12 indexed citations

Kenngott, Hannes, Martin Wagner, Anas Amin Preukschas, et al.. (2015). OpenHELP (Heidelberg laparoscopy phantom): development of an open-source surgical evaluation and training tool. Surgical Endoscopy. 29(11). 3338–3347. 33 indexed citations

Bodenstedt, Sebastian, Stefan Suwelack, Martin Wagner, et al.. (2015). Intraoperative on-the-fly organ-mosaicking for laparoscopic surgery. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9415. 94151S–94151S. 1 indexed citations

Suwelack, Stefan. (2015). Real-time Biomechanical Modeling for Intraoperative Soft Tissue Registration. Repository KITopen (Karlsruhe Institute of Technology). 4 indexed citations

Suwelack, Stefan, Sebastian Bodenstedt, Rüdiger Dillmann, et al.. (2014). Physics‐based shape matching for intraoperative image guidance. Medical Physics. 41(11). 111901–111901. 62 indexed citations

10.

Suwelack, Stefan, et al.. (2014). Simulation of Complex Cuts in Soft Tissue with the Extended Finite Element Method (X-FEM). University Library Heidelberg. 7 indexed citations

11.

Santos, Thiago R. dos, Alexander Seitel, Stefan Suwelack, et al.. (2014). Pose-independent surface matching for intra-operative soft-tissue marker-less registration. Medical Image Analysis. 18(7). 1101–1114. 29 indexed citations

12.

Suwelack, Stefan, et al.. (2014). Towards Open-Source, Low-Cost Haptics for Surgery Simulation. Studies in health technology and informatics. 196. 401–3. 1 indexed citations

13.

Suwelack, Stefan, Nicolai Schoch, Rüdiger Dillmann, et al.. (2014). The medical simulation markup language - simplifying the biomechanical modeling workflow.. PubMed. 196. 394–400. 4 indexed citations

14.

Katić, Darko, Anna-Laura Wekerle, Sebastian Bodenstedt, et al.. (2013). Context-aware Augmented Reality in laparoscopic surgery. Computerized Medical Imaging and Graphics. 37(2). 174–182. 54 indexed citations

15.

Schoch, Nicolai, Stefan Suwelack, Rüdiger Dillmann, & Vincent Heuveline. (2013). Simulation of Surgical Cutting of Soft Tissue using the X-FEM. University Library Heidelberg. 1 indexed citations

16.

Suwelack, Stefan, et al.. (2013). Accurate surface embedding for higher order finite elements. 187–192. 4 indexed citations

17.

Bodenstedt, Sebastian, et al.. (2012). DenseGPU-enhanced surface reconstruction from stereo endoscopic images for intraoperative registration. Medical Physics. 39(3). 1632–1645. 64 indexed citations

18.

Suwelack, Stefan, et al.. (2011). Web-Based Interactive Volume Rendering. Studies in health technology and informatics. 163. 635–7. 2 indexed citations

19.

Suwelack, Stefan, et al.. (2011). From stereo image sequences to smooth and robust surface models using temporal information and Bilateral postprocessing. 1. 544–550. 2 indexed citations

20.

Bodenstedt, Sebastian, et al.. (2011). Real-time surface reconstruction from stereo endoscopic images for intraoperative registration. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7964. 796414–796414. 16 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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