Michael Kaufmann

287 papers receiving 3.9k citations

Peers

Michael Kaufmann
Comparison fields: 5 of 182
  • Computer Graphics and Computer-Aided Design 1.6k
  • Computer Vision and Pattern Recognition 1.4k
  • Computational Theory and Mathematics 884
  • Signal Processing 417
  • Software 85
Replace Petra Mutzel with:
Petra Mutzel Germany
Tosiyasu L. Kunii Japan
Marshall W. Bern United States
Christoph M. Hoffmann United States
Stephen C. North United States
Aristid Lindenmayer Netherlands
David Eppstein United States
Emden R. Gansner United States
Raphael A. Finkel United States
Kenneth H. Rose United States
Michael Kaufmann relative to Petra Mutzel Germany Petra Mutzel's profile →
Citations per field
00.5×1.6×
Petra Mutzel · 1×
Citations per year

Countries citing papers authored by Michael Kaufmann

Since Specialization
Citations

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

Fields of papers citing papers by Michael Kaufmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 306 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001244
2 2011217
3 2008181
4 2005128
5 2016113
6 1996107
7 1999107
8 2002100
9 200678
10 201178
11 200273
12 200869
13 200253
14 199350
15 199650
16 198449
17 199744
18 199442
19 200241
20 199440

About Michael Kaufmann

Michael Kaufmann is a scholar working on Computer Graphics and Computer-Aided Design, Computational Theory and Mathematics, Computer Vision and Pattern Recognition, Computer Networks and Communications and Signal Processing, having authored 306 papers that have together received 4.2k indexed citations. Recurring topics across this work include Computational Geometry and Mesh Generation (172 papers), Advanced Graph Theory Research (92 papers), Digital Image Processing Techniques (45 papers), Data Visualization and Analytics (44 papers), VLSI and FPGA Design Techniques (35 papers), Data Management and Algorithms (31 papers), Interconnection Networks and Systems (29 papers) and 3D Modeling in Geospatial Applications (21 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (1.6k citations), Computer Vision and Pattern Recognition (1.4k citations), Computational Theory and Mathematics (884 citations), Signal Processing (417 citations) and Software (85 citations). Michael Kaufmann has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include Michael A. Bekos, Markus Eiglsperger, Burkhard Morgenstern, Antonios Symvonis, Thérèse Biedl, Andreas Gerasch, Peter J. Nicholls, Hans‐Peter Lenhof, Christina Backes and Jop F. Sibeyn. Their work appears in journals such as Journal of Graph Algorithms and Applications, Algorithmica, Lecture notes in computer science, Computational Geometry and Theoretical Computer Science.

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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