Moritz Ehlke

876 total citations
7 papers, 305 citations indexed

About

Moritz Ehlke is a scholar working on Computer Vision and Pattern Recognition, Surgery and Computational Mechanics. According to data from OpenAlex, Moritz Ehlke has authored 7 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 2 papers in Surgery and 2 papers in Computational Mechanics. Recurrent topics in Moritz Ehlke's work include Orthopaedic implants and arthroplasty (2 papers), Medical Image Segmentation Techniques (2 papers) and Osteoarthritis Treatment and Mechanisms (2 papers). Moritz Ehlke is often cited by papers focused on Orthopaedic implants and arthroplasty (2 papers), Medical Image Segmentation Techniques (2 papers) and Osteoarthritis Treatment and Mechanisms (2 papers). Moritz Ehlke collaborates with scholars based in Germany, Canada and United Kingdom. Moritz Ehlke's co-authors include Stefan Zachow, Alexander Tack, Felix Ambellan, Hans‐Christian Hege, Hans Lamecker, Heiko Ramm, Dmitry A. Apanaskevich, René Hoffmann, Jason A. Dunlop and Florian Fußeis and has published in prestigious journals such as Medical Image Analysis, IEEE Transactions on Visualization and Computer Graphics and BMC Evolutionary Biology.

In The Last Decade

Moritz Ehlke

7 papers receiving 301 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Moritz Ehlke Germany	4	130	105	91	79	78	7	305
Felix Ambellan Germany	6	148 1.1×	123 1.2×	108 1.2×	102 1.3×	81 1.0×	13	375
Alexander Tack Germany	7	173 1.3×	182 1.7×	170 1.9×	99 1.3×	103 1.3×	10	466
Markus Michaelis Germany	7	101 0.8×	118 1.1×	72 0.8×	149 1.9×	75 1.0×	12	344
Heiko Seim Germany	8	144 1.1×	28 0.3×	85 0.9×	95 1.2×	105 1.3×	13	314
Khaled Harrar Algeria	10	67 0.5×	59 0.6×	25 0.3×	76 1.0×	76 1.0×	29	303
Bochen Guan United States	7	87 0.7×	104 1.0×	109 1.2×	27 0.3×	74 0.9×	11	283
Yisong Lv China	10	53 0.4×	37 0.4×	49 0.5×	93 1.2×	75 1.0×	21	318
Hyeon Ki Jeong United States	10	152 1.2×	59 0.6×	68 0.7×	14 0.2×	38 0.5×	21	331
Maria Chiara Fiorentino Italy	10	45 0.3×	37 0.4×	60 0.7×	44 0.6×	88 1.1×	23	288
M. Slomczykowski United Kingdom	9	171 1.3×	10 0.1×	216 2.4×	122 1.5×	88 1.1×	10	401

Countries citing papers authored by Moritz Ehlke

Since Specialization

Citations

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

Fields of papers citing papers by Moritz Ehlke

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Moritz Ehlke

This figure shows the co-authorship network connecting the top 25 collaborators of Moritz Ehlke. A scholar is included among the top collaborators of Moritz Ehlke 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 Moritz Ehlke. Moritz Ehlke 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:

7 of 7 papers shown

1.

Ambellan, Felix, Alexander Tack, Moritz Ehlke, & Stefan Zachow. (2018). Automated Segmentation of Knee Bone and Cartilage combining Statistical Shape Knowledge and Convolutional Neural Networks: Data from the Osteoarthritis Initiative. 3 indexed citations

2.

Ambellan, Felix, Alexander Tack, Moritz Ehlke, & Stefan Zachow. (2018). Automated segmentation of knee bone and cartilage combining statistical shape knowledge and convolutional neural networks: Data from the Osteoarthritis Initiative. Medical Image Analysis. 52. 109–118. 242 indexed citations

3.

Dunlop, Jason A., Dmitry A. Apanaskevich, Jens Lehmann, et al.. (2016). Microtomography of the Baltic amber tick Ixodes succineus reveals affinities with the modern Asian disease vector Ixodes ovatus. BMC Evolutionary Biology. 16(1). 203–203. 12 indexed citations

4.

Ehlke, Moritz, et al.. (2015). Towards Robust Measurement of Pelvic Parameters from AP Radiographs using Articulated 3D Models. 1 indexed citations

5.

Ehlke, Moritz, Mark Heyland, Sven Märdian, Georg N. Duda, & Stefan Zachow. (2015). 3D Assessment of Osteosynthesis based on 2D Radiographs. 317–322. 2 indexed citations

6.

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

7.

Ehlke, Moritz, Heiko Ramm, Hans Lamecker, Hans‐Christian Hege, & Stefan Zachow. (2013). Fast Generation of Virtual X-ray Images from Deformable Tetrahedral Meshes. 2 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