Marc Droske

892 citations
23 papers · 424 · h-index 12

Impact in

Papers in

Marc Droske

22 papers receiving 369 citations

Peers

Marc Droske
Comparison fields: 5 of 64
  • Computer Graphics and Computer-Aided Design 125
  • Computer Vision and Pattern Recognition 294
  • Computational Mechanics 111
  • Radiology, Nuclear Medicine and Imaging 84
  • Structural Biology 5
Replace Geovan Tavares with:
Geovan Tavares Brazil
Stephan Didas Germany
Ganesh Sundaramoorthi United States
Liron Yatziv United States
Markku Mäkitalo Finland
Gloria Haro Spain
Sébastien Speierer Switzerland
Bradley Atcheson Canada
R. Hingorani United States
Eugene d’Eon United States
Marc Droske relative to Geovan Tavares Brazil Geovan Tavares's profile →
Citations per field
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Geovan Tavares · 1×
Citations per year

Countries citing papers authored by Marc Droske

Since Specialization
Citations

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

Fields of papers citing papers by Marc Droske

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200478
2 200451
3 200745
4 200639
5 201535
6 201432
7 201825
8 200022
9 200519
10 200713
11 200712
12 200811
13 20108
14 20198
15
A Multilevel Segmentation Method.
20006
16 20215
17 20145
18 20233
19 20202
20 20042

About Marc Droske

Marc Droske is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Radiology, Nuclear Medicine and Imaging, Computational Mechanics and Computational Theory and Mathematics, having authored 23 papers that have together received 424 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (11 papers), Medical Image Segmentation Techniques (10 papers), Medical Imaging Techniques and Applications (7 papers), Advanced Vision and Imaging (6 papers), 3D Shape Modeling and Analysis (5 papers), Image and Object Detection Techniques (2 papers), Remote Sensing and LiDAR Applications (2 papers) and Image and Signal Denoising Methods (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (125 citations), Computer Vision and Pattern Recognition (294 citations), Computational Mechanics (111 citations), Radiology, Nuclear Medicine and Imaging (84 citations) and Structural Biology (5 citations). Marc Droske has collaborated with scholars based in Germany, Czechia and Netherlands. Frequent co-authors include Martin Rumpf, Johannes Hanika, Wolfgang Ring, Robert Strzodka, Andrea Weidlich, Gerold Wesche, Carlo Schaller, Schanila Nawaz, Alexander Wilkie and Bernhard Meyer. Their work appears in journals such as Computer Graphics Forum, SIAM Journal on Applied Mathematics, Neurological Research, SIAM Journal on Imaging Sciences and ACM Transactions on Graphics.

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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