Michael Krone

76 papers receiving 1.1k citations

Peers

Michael Krone
Comparison fields: 5 of 128
  • Computer Graphics and Computer-Aided Design 241
  • Computer Vision and Pattern Recognition 559
  • Biophysics 149
  • Information Systems and Management 121
  • Human-Computer Interaction 68
Replace Guido Reina with:
Guido Reina Germany
Steven P. Callahan United States
Bruce H. McCormick United States
Július Parulek Norway
Christoph Müller Germany
Martin Falk Sweden
Norbert Lindow Germany
William V. Wright United States
Martin Graham United Kingdom
David Letscher United States
Michael Krone relative to Guido Reina Germany Guido Reina's profile →
Citations per field
00.5×3.1×
Guido Reina · 1×
Citations per year

Countries citing papers authored by Michael Krone

Since Specialization
Citations

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

Fields of papers citing papers by Michael Krone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201685
2 201480
3 201272
4 200966
5 201947
6 201647
7 201336
8 201135
9 201835
10 201133
11 201630
12 201227
13 201123
14 201522
15 202321
16 201321
17 201820
18 201919
19 201617
20 201816

About Michael Krone

Michael Krone is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology, Computer Graphics and Computer-Aided Design, Information Systems and Management and Biophysics, having authored 78 papers that have together received 1.1k indexed citations. Recurring topics across this work include Data Visualization and Analytics (38 papers), Computer Graphics and Visualization Techniques (24 papers), Bioinformatics and Genomic Networks (14 papers), Protein Structure and Dynamics (13 papers), Scientific Computing and Data Management (11 papers), Cell Image Analysis Techniques (9 papers), Complex Network Analysis Techniques (6 papers) and 3D Shape Modeling and Analysis (5 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (241 citations), Computer Vision and Pattern Recognition (559 citations), Biophysics (149 citations), Information Systems and Management (121 citations) and Human-Computer Interaction (68 citations). Michael Krone has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Thomas Ertl, Guido Reina, Marc Baaden, Sebastian Grottel, Martin Falk, Christoph Müller, Barbora Kozlíková, Klaus Schulten, John E. Stone and Jürgen Pleiss. Their work appears in journals such as Computer Graphics Forum, IEEE Transactions on Visualization and Computer Graphics, Computers & Graphics, IEEE Computer Graphics and Applications and Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics.

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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