Michael Manzke

424 citations
31 papers · 201 · h-index 8

Impact in

Papers in

Michael Manzke

24 papers receiving 187 citations

Peers

Michael Manzke
Comparison fields: 5 of 39
  • Computer Graphics and Computer-Aided Design 79
  • Computer Vision and Pattern Recognition 110
  • Hardware and Architecture 16
  • Computational Mechanics 34
  • Media Technology 14
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Yifan Jiang United States
Zhaoyang Lyu China
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Fabrice Jaillet France
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Citations per year

Countries citing papers authored by Michael Manzke

Since Specialization
Citations

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

Fields of papers citing papers by Michael Manzke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Michael Manzke, 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 Michael Manzke Line = papers co-authored together Michael Manzke links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Proceedings of the Eurographics Symposium on Rendering
201641
2 201535
3 201322
4 201720
5 201213
6
Proceedings of the Eurographics Symposium on Rendering: Experimental Ideas & Implementations
20169
7 20198
8 20077
9 20096
10 20095
11 20065
12 20175
13 20104
14 20034
15 20124
16 20162
17 20102
18 20071
19 20191
20 20091

About Michael Manzke

Michael Manzke is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Hardware and Architecture, Computer Networks and Communications and Surgery, having authored 31 papers that have together received 201 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (11 papers), Parallel Computing and Optimization Techniques (8 papers), Advanced Vision and Imaging (7 papers), Embedded Systems Design Techniques (6 papers), Robotic Path Planning Algorithms (4 papers), Experimental Learning in Engineering (3 papers), Shoulder Injury and Treatment (3 papers) and Modular Robots and Swarm Intelligence (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (79 citations), Computer Vision and Pattern Recognition (110 citations), Hardware and Architecture (16 citations), Computational Mechanics (34 citations) and Media Technology (14 citations). Michael Manzke has collaborated with scholars based in Ireland, Germany and Netherlands. Frequent co-authors include Eugene Fiume, Elmar Eisemann, J. Jerosch, Lars Victor von Engelhardt, Timm J. Filler, Michael J. Doyle, Colin Fowler, Rozenn Dahyot, Cem Direkoğlu and John Dingliana. Their work appears in journals such as World Journal of Orthopedics, Archives of Orthopaedic and Trauma Surgery, ACM Transactions on Graphics, International Journal of Computer Vision and Computer Graphics Forum.

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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