Michael Voit

2.0k citations
118 papers · 1.4k · h-index 18

Impact in

Papers in

Michael Voit

113 papers receiving 1.3k citations

Peers

Michael Voit
Comparison fields: 5 of 96
  • Mathematical Physics 418
  • Applied Mathematics 337
  • Algebra and Number Theory 137
  • Human-Computer Interaction 161
  • Computer Vision and Pattern Recognition 533
Replace Jürgen Richter-Gebert with:
Jürgen Richter-Gebert Germany
George K. Francis United States
Masaru Takeuchi Japan
Samuel R. Buss United States
B. Gopinath United States
Edward R. Scheinerman United States
G. T. Kneebone United Kingdom
Wu Li China
Stefan Heinrich Germany
Dimitri Kanevsky United States
Michael Voit relative to Jürgen Richter-Gebert Germany Jürgen Richter-Gebert's profile →
Citations per field
00.5×2×4×6×7.7×
Jürgen Richter-Gebert · 1×
Citations per year

Countries citing papers authored by Michael Voit

Since Specialization
Citations

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

Fields of papers citing papers by Michael Voit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 118 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019129
2 1998123
3 2007118
4 199970
5 200762
6 200846
7 201841
8 202337
9 198835
10 200534
11 199727
12 199026
13 199024
14 201021
15 199020
16 200619
17 201717
18 200917
19 200617
20 199116

About Michael Voit

Michael Voit is a scholar working on Mathematical Physics, Computer Vision and Pattern Recognition, Geometry and Topology, Applied Mathematics and Algebra and Number Theory, having authored 118 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Topics in Algebra (20 papers), Advanced Algebra and Geometry (18 papers), Advanced Operator Algebra Research (17 papers), Random Matrices and Applications (16 papers), Video Surveillance and Tracking Methods (15 papers), Human Pose and Action Recognition (12 papers), Gaze Tracking and Assistive Technology (12 papers) and Stochastic processes and statistical mechanics (11 papers). The work is most often cited by research in Mathematical Physics (418 citations), Applied Mathematics (337 citations), Algebra and Number Theory (137 citations), Human-Computer Interaction (161 citations) and Computer Vision and Pattern Recognition (533 citations). Michael Voit has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Rainer Stiefelhagen, Margit Rösler, Kai Nickel, Manuel Martín, Hazım Kemal Ekenel, Monica Haurilet, Alina Roitberg, Jürgen Beyerer, Alex Waibel and Christian Fügen. Their work appears in journals such as Journal of Theoretical Probability, Journal of Applied Probability, Journal of Mathematical Analysis and Applications, Journal of Multivariate Analysis and Mathematische Nachrichten.

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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