Jan Sahner

433 citations
12 papers · 312 · h-index 8

Impact in

Papers in

Jan Sahner

12 papers receiving 296 citations

Peers

Jan Sahner
Comparison fields: 5 of 46
  • Computer Graphics and Computer-Aided Design 117
  • Computational Mechanics 205
  • Computer Vision and Pattern Recognition 96
  • Global and Planetary Change 49
  • Statistical and Nonlinear Physics 26
Replace Alexander Kühn with:
Alexander Kühn Germany
David L. Kao United States
David C. Banks United States
Christoph Traxler Austria
Jerry Tessendorf United States
L. Ramirez-Guzmán United States
Frank Zeilfelder Germany
Patrick Héas France
Jooyoung Hahn South Korea
Matt Hall United States
Jan Sahner relative to Alexander Kühn Germany Alexander Kühn's profile →
Citations per field
00.5×2.9×
Alexander Kühn · 1×
Citations per year

Countries citing papers authored by Jan Sahner

Since Specialization
Citations

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

Fields of papers citing papers by Jan Sahner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 200565
2 200763
3 200755
4 200642
5 200626
6 200618
7 200717
8 200815
9 20097
10 20082
11
Extraction of parallel vector surfaces in 3D time-dependent fields and applications to vortex core line tracking
20051
12
Feature-based Analysis of a Multi-Parameter Flow Simulation
20081

About Jan Sahner

Jan Sahner is a scholar working on Computational Mechanics, Computer Vision and Pattern Recognition, Ecology, Aerospace Engineering and Computer Graphics and Computer-Aided Design, having authored 12 papers that have together received 312 indexed citations. Recurring topics across this work include Fluid Dynamics and Turbulent Flows (9 papers), Advanced Vision and Imaging (3 papers), Fluid Dynamics and Vibration Analysis (3 papers), Hydrology and Sediment Transport Processes (2 papers), Plasma and Flow Control in Aerodynamics (2 papers), Advanced Numerical Analysis Techniques (2 papers), Computer Graphics and Visualization Techniques (2 papers) and Plant Water Relations and Carbon Dynamics (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (117 citations), Computational Mechanics (205 citations), Computer Vision and Pattern Recognition (96 citations), Global and Planetary Change (49 citations) and Statistical and Nonlinear Physics (26 citations). Jan Sahner has collaborated with scholars based in Germany. Frequent co-authors include Tino Weinkauf, Hans‐Christian Hege, Holger Theisel, Hans‐Peter Seidel, Angela Kunoth, S. Prohaska, Britta Weber, Hans Lamecker, Frank Thiele and W. Nitsche. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Mathematics of Computation, Computer Graphics Forum, Eurographics and 45th AIAA Aerospace Sciences Meeting and Exhibit.

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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