Hans Lamecker

3.6k total citations
55 papers, 1.2k citations indexed

About

Hans Lamecker is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Surgery. According to data from OpenAlex, Hans Lamecker has authored 55 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Vision and Pattern Recognition, 14 papers in Computational Mechanics and 13 papers in Surgery. Recurrent topics in Hans Lamecker's work include Medical Image Segmentation Techniques (21 papers), 3D Shape Modeling and Analysis (14 papers) and Medical Imaging and Analysis (13 papers). Hans Lamecker is often cited by papers focused on Medical Image Segmentation Techniques (21 papers), 3D Shape Modeling and Analysis (14 papers) and Medical Imaging and Analysis (13 papers). Hans Lamecker collaborates with scholars based in Germany, France and Finland. Hans Lamecker's co-authors include Stefan Zachow, Hans‐Christian Hege, Thomas Lange, Martin Seebaß, Dagmar Kainmüller, Dagmar Kainmueller, Heiko Seim, Peter Deuflhard, Christoph von Tycowicz and Heiko Ramm and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Medical Imaging and International Journal of Computer Vision.

In The Last Decade

Hans Lamecker

52 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hans Lamecker Germany 20 522 486 301 271 160 55 1.2k
Stefan Wesarg Germany 20 376 0.7× 556 1.1× 297 1.0× 398 1.5× 78 0.5× 92 1.1k
Cristian Lorenz Germany 18 472 0.9× 656 1.3× 304 1.0× 421 1.6× 59 0.4× 65 1.3k
Hans‐Peter Meinzer Germany 20 601 1.2× 415 0.9× 329 1.1× 287 1.1× 103 0.6× 132 1.4k
Tobias Heimann Germany 19 988 1.9× 557 1.1× 279 0.9× 548 2.0× 214 1.3× 44 2.0k
U. Tiede Germany 24 924 1.8× 536 1.1× 438 1.5× 279 1.0× 417 2.6× 66 1.8k
Philip Edwards United Kingdom 21 710 1.4× 525 1.1× 515 1.7× 185 0.7× 78 0.5× 45 1.3k
Rhodri Davies United Kingdom 19 706 1.4× 341 0.7× 169 0.6× 428 1.6× 321 2.0× 65 1.5k
Shun Miao United States 16 524 1.0× 416 0.9× 182 0.6× 456 1.7× 44 0.3× 41 1.2k
B. Likar Slovenia 12 1.1k 2.1× 487 1.0× 190 0.6× 781 2.9× 117 0.7× 20 1.9k
F. Pernuš Slovenia 13 813 1.6× 511 1.1× 213 0.7× 584 2.2× 88 0.6× 31 1.5k

Countries citing papers authored by Hans Lamecker

Since Specialization
Citations

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

Fields of papers citing papers by Hans Lamecker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hans Lamecker

This figure shows the co-authorship network connecting the top 25 collaborators of Hans Lamecker. A scholar is included among the top collaborators of Hans Lamecker 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 Hans Lamecker. Hans Lamecker 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.
Goubergrits, Leonid, Lennart Tautz, Jan Bruening, et al.. (2022). CT-Based Analysis of Left Ventricular Hemodynamics Using Statistical Shape Modeling and Computational Fluid Dynamics. Frontiers in Cardiovascular Medicine. 9. 901902–901902. 17 indexed citations
2.
Hildebrandt, Thomas, Werner J. Heppt, Nora Schmidt, et al.. (2020). Characterization of the Airflow within an Average Geometry of the Healthy Human Nasal Cavity. Scientific Reports. 10(1). 3755–3755. 42 indexed citations
3.
Schebesch, Karl-Michael, Katharina Rosengarth, Alexander Brawanski, et al.. (2019). Clinical Benefits of Combining Different Visualization Modalities in Neurosurgery. Frontiers in Surgery. 6. 56–56. 8 indexed citations
4.
Ambellan, Felix, Hans Lamecker, Christoph von Tycowicz, & Stefan Zachow. (2019). Statistical Shape Models: Understanding and Mastering Variation in Anatomy. Advances in experimental medicine and biology. 1156. 67–84. 66 indexed citations
5.
Wilson, David, Carolyn Anglin, Felix Ambellan, et al.. (2017). Validation of three-dimensional models of the distal femur created from surgical navigation point cloud data for intraoperative and postoperative analysis of total knee arthroplasty. International Journal of Computer Assisted Radiology and Surgery. 12(12). 2097–2105. 5 indexed citations
6.
Bernard, Florian, Luis Salamanca, Johan Thunberg, et al.. (2017). Shape-aware surface reconstruction from sparse 3D point-clouds. Medical Image Analysis. 38. 77–89. 30 indexed citations
7.
Ramm, Heiko, et al.. (2013). Visual Support for Positioning Hearing Implants. 116–120. 2 indexed citations
8.
Ehlke, Moritz, Heiko Ramm, Hans Lamecker, Hans‐Christian Hege, & Stefan Zachow. (2013). Fast Generation of Virtual X-ray Images for Reconstruction of 3D Anatomy. IEEE Transactions on Visualization and Computer Graphics. 19(12). 2673–2682. 43 indexed citations
9.
Lamecker, Hans, et al.. (2012). Automatic Detection and Classification of Teeth in CT Data. Lecture notes in computer science. 15(Pt 1). 609–616. 16 indexed citations
10.
Kainmueller, Dagmar, Hans Lamecker, Markus O. Heller, et al.. (2012). Omnidirectional displacements for deformable surfaces. Medical Image Analysis. 17(4). 429–441. 13 indexed citations
11.
Galloway, Francis, et al.. (2011). Robust and Intuitive Meshing of Bone-Implant Compounds. 71–74. 1 indexed citations
12.
Seim, Heiko, et al.. (2010). Model-based Auto-Segmentation of Knee Bones and Cartilage in MRI Data. 155A(12). 215–223. 42 indexed citations
13.
Kainmueller, Dagmar, Hans Lamecker, Stefan Zachow, & Hans‐Christian Hege. (2009). An articulated statistical shape model for accurate hip joint segmentation. PubMed. 2009. 6345–6351. 49 indexed citations
14.
Lamecker, Hans, Jens von Berg, Tobias Klinder, et al.. (2009). 3D reconstruction of the human rib cage from 2D projection images using a statistical shape model. International Journal of Computer Assisted Radiology and Surgery. 5(2). 111–124. 44 indexed citations
15.
Lange, Thomas, Nils Papenberg, Stefan Heldmann, et al.. (2008). 3D ultrasound-CT registration of the liver using combined landmark-intensity information. International Journal of Computer Assisted Radiology and Surgery. 4(1). 79–88. 83 indexed citations
16.
Kainmüller, Dagmar, Thomas Lange, & Hans Lamecker. (2007). Shape Constrained Automatic Segmentation of the Liver based on a Heuristic Intensity Model. 109–116. 120 indexed citations
17.
Kamer, Lukas, Hansrudi Noser, Hans Lamecker, et al.. (2006). Three-dimensional statistical shape analysis - A useful tool for developing a new type of orbital implant?. 4 indexed citations
18.
Lange, Thomas, Hans Lamecker, Martin Seebaß, et al.. (2005). Registration of different phases of contrast-enhanced CT/MRI data for computer-assisted liver surgery planning: Evaluation of state-of-the-art methods. International Journal of Medical Robotics and Computer Assisted Surgery. 1(3). 6–20. 26 indexed citations
19.
Lamecker, Hans, et al.. (2005). Capturing Anatomical Shape Variability Using B-Spline Registration. Lecture notes in computer science. 19. 578–590.
20.
Hell, Berthold, Malte Zöckler, Stefan Zachow, et al.. (2004). Technical Aspects and Results of Surgery for Craniosynostosis. Central European Neurosurgery - Zentralblatt für Neurochirurgie. 65(2). 65–74. 10 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Stefan Wesarg Breakdown of academic impact, for papers by Cristian Lorenz Breakdown of academic impact, for papers by Hans‐Peter Meinzer Breakdown of academic impact, for papers by Tobias Heimann Breakdown of academic impact, for papers by U. Tiede Breakdown of academic impact, for papers by Philip Edwards Breakdown of academic impact, for papers by Rhodri Davies Breakdown of academic impact, for papers by Shun Miao Breakdown of academic impact, for papers by B. Likar Breakdown of academic impact, for papers by F. Pernuš
Rankless by CCL
2026