U. Tiede

3.2k citations
66 papers · 1.8k · h-index 24

Impact in

Papers in

U. Tiede

65 papers receiving 1.7k citations

Peers

U. Tiede
Comparison fields: 5 of 124
  • Computer Graphics and Computer-Aided Design 504
  • Computer Vision and Pattern Recognition 844
  • General Dentistry 57
  • Computational Mechanics 416
  • Radiology, Nuclear Medicine and Imaging 253
Replace Κ. H. Höhne with:
Κ. H. Höhne Germany
A. Pommert Germany
Victor Spitzer United States
Takeyoshi Dohi Japan
Junjun Pan China
David Frakes United States
Philip Edwards United Kingdom
Dirk Bartz Germany
R. Kikinis United States
Wolfgang Birkfellner Austria
U. Tiede relative to Κ. H. Höhne Germany Κ. H. Höhne's profile →
Citations per field
00.5×3.8×
Κ. H. Höhne · 1×
Citations per year

Countries citing papers authored by U. Tiede

Since Specialization
Citations

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

Fields of papers citing papers by U. Tiede

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990200
2 1990168
3 1990100
4 200282
5 200176
6 199574
7 199873
8 199272
9 200967
10 201066
11 200256
12 200049
13 199844
14 199744
15 199639
16 200139
17 200339
18 200634
19 200632
20 199432

About U. Tiede

U. Tiede is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Computational Mechanics, Biomedical Engineering and Surgery, having authored 66 papers that have together received 1.8k indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (27 papers), 3D Shape Modeling and Analysis (24 papers), Anatomy and Medical Technology (22 papers), Medical Image Segmentation Techniques (11 papers), Surgical Simulation and Training (9 papers), Advanced Vision and Imaging (8 papers), Augmented Reality Applications (7 papers) and Geological Modeling and Analysis (5 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (504 citations), Computer Vision and Pattern Recognition (844 citations), General Dentistry (57 citations), Computational Mechanics (416 citations) and Radiology, Nuclear Medicine and Imaging (253 citations). U. Tiede has collaborated with scholars based in Germany, China and Moldova. Frequent co-authors include Κ. H. Höhne, Martin Riemer, A. Pommert, M. Bomans, B. Pflesser, Th. Schiemann, Rainer Schubert, Andreas Petersik, Thomas Schiemann and R. Leuwer. Their work appears in journals such as Computer Aided Surgery, IEEE Computer Graphics and Applications, Medical Image Analysis, Cells Tissues Organs and Computerized Medical Imaging and Graphics.

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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