Tim Kröger

22 papers receiving 358 citations

Peers

Tim Kröger
Comparison fields: 5 of 33
  • Hepatology 170
  • Computer Vision and Pattern Recognition 122
  • Modeling and Simulation 22
  • Computer Graphics and Computer-Aided Design 17
  • Radiation 29
Replace Uyen Dinh Nguyen with:
Uyen Dinh Nguyen Vietnam
Mika Pollari Finland
Jon S. Heiselman United States
Shuqian Luo China
Kinda Anna Saddi United States
Nader Mahmoud Egypt
T. Heimann Germany
K. Rohr Germany
Ja-Yeon Jeong United States
Senhu Li United States
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Citations per field
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Citations per year

Countries citing papers authored by Tim Kröger

Since Specialization
Citations

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

Fields of papers citing papers by Tim Kröger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201165
2 200652
3 200735
4 200630
5 200929
6 201028
7 200826
8 200524
9 200719
10 201213
11 20079
12 20096
13 20106
14 20075
15 20084
16 20104
17 20043
18 20043
19 20072
20
Estimation of Probability Density Functions for Parameter Sensitivity Analyses.
20082

About Tim Kröger

Tim Kröger is a scholar working on Hepatology, Computer Vision and Pattern Recognition, Modeling and Simulation, Cardiology and Cardiovascular Medicine and Computer Graphics and Computer-Aided Design, having authored 23 papers that have together received 368 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (11 papers), Hepatocellular Carcinoma Treatment and Prognosis (10 papers), Cardiac Arrhythmias and Treatments (6 papers), Ultrasound and Hyperthermia Applications (4 papers), Computational Fluid Dynamics and Aerodynamics (3 papers), Mathematical Biology Tumor Growth (3 papers), Probabilistic and Robust Engineering Design (2 papers) and Advanced Radiotherapy Techniques (2 papers). The work is most often cited by research in Hepatology (170 citations), Computer Vision and Pattern Recognition (122 citations), Modeling and Simulation (22 citations), Computer Graphics and Computer-Aided Design (17 citations) and Radiation (29 citations). Tim Kröger has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Tobias Preußer, Heinz‐Otto Peitgen, Christian Rieder, Philippe Lucien Pereira, Torben Pätz, Horst Karl Hahn, Christian Schumann, Diethard Schmidt, Mária Lukáčová-Medviďová and Stephan Zidowitz. Their work appears in journals such as Image and Vision Computing, Numerische Mathematik, Academic Radiology, ESAIM Mathematical Modelling and Numerical Analysis and Computers & Fluids.

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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