Klaudius Scheufele

519 total citations
9 papers, 327 citations indexed

About

Klaudius Scheufele is a scholar working on Computational Mechanics, Radiology, Nuclear Medicine and Imaging and Modeling and Simulation. According to data from OpenAlex, Klaudius Scheufele has authored 9 papers receiving a total of 327 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computational Mechanics, 3 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Modeling and Simulation. Recurrent topics in Klaudius Scheufele's work include Mathematical Biology Tumor Growth (3 papers), Advanced Numerical Methods in Computational Mathematics (3 papers) and MRI in cancer diagnosis (2 papers). Klaudius Scheufele is often cited by papers focused on Mathematical Biology Tumor Growth (3 papers), Advanced Numerical Methods in Computational Mathematics (3 papers) and MRI in cancer diagnosis (2 papers). Klaudius Scheufele collaborates with scholars based in Germany, United States and South Africa. Klaudius Scheufele's co-authors include Miriam Mehl, Benjamin Uekérmann, Florian Lindner, Hans‐Joachim Bungartz, Bernhard Gatzhammer, George Biros, Rob Haelterman, Shashank Subramanian, Christos Davatzikos and Amir Gholami and has published in prestigious journals such as Computer Methods in Applied Mechanics and Engineering, IEEE Transactions on Medical Imaging and Computers & Structures.

In The Last Decade

Klaudius Scheufele

9 papers receiving 320 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Klaudius Scheufele Germany	7	184	72	34	32	26	9	327
Stuart Slattery United States	11	97 0.5×	85 1.2×	4 0.1×	14 0.4×	25 1.0×	21	306
Florian Lindner Germany	6	194 1.1×	87 1.2×	4 0.1×	27 0.8×	25 1.0×	7	307
Mark S. Gockenbach United States	12	99 0.5×	9 0.1×	39 1.1×	22 0.7×	43 1.7×	34	464
Timothy J. Tautges United States	14	193 1.0×	131 1.8×	8 0.2×	7 0.2×	8 0.3×	38	543
Zhi-Qin John Xu Zhi-Qin John Xu China	5	101 0.5×	43 0.6×	12 0.4×	175 5.5×	11 0.4×	7	421
Benjamin Uekérmann Germany	12	327 1.8×	119 1.7×	5 0.1×	51 1.6×	43 1.7×	31	538
Andrew J. Meade United States	10	108 0.6×	36 0.5×	17 0.5×	212 6.6×	39 1.5×	31	497
Hoang Tran United States	12	297 1.6×	11 0.2×	24 0.7×	28 0.9×	64 2.5×	25	408
Gang Hu China	13	36 0.2×	25 0.3×	64 1.9×	26 0.8×	5 0.2×	36	321
Robert Luce France	10	207 1.1×	36 0.5×	8 0.2×	24 0.8×	26 1.0×	38	383

Countries citing papers authored by Klaudius Scheufele

Since Specialization

Citations

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

Fields of papers citing papers by Klaudius Scheufele

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Klaudius Scheufele

This figure shows the co-authorship network connecting the top 25 collaborators of Klaudius Scheufele. A scholar is included among the top collaborators of Klaudius Scheufele based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Klaudius Scheufele. Klaudius Scheufele is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

Subramanian, Shashank, et al.. (2022). Ensemble Inversion for Brain Tumor Growth Models With Mass Effect. IEEE Transactions on Medical Imaging. 42(4). 982–995. 10 indexed citations

Scheufele, Klaudius, Shashank Subramanian, & George Biros. (2020). Fully Automatic Calibration of Tumor-Growth Models Using a Single mpMRI Scan. IEEE Transactions on Medical Imaging. 40(1). 193–204. 20 indexed citations

Scheufele, Klaudius, Andreas Mang, Amir Gholami, et al.. (2019). Coupling brain-tumor biophysical models and diffeomorphic image registration. Computer Methods in Applied Mechanics and Engineering. 347. 533–567. 19 indexed citations

Gholami, Amir, Andreas Mang, Klaudius Scheufele, et al.. (2017). A framework for scalable biophysics-based image analysis. Fachbereich Informatik (University of Stuttgart). 1–13. 5 indexed citations

Scheufele, Klaudius & Miriam Mehl. (2017). Robust Multisecant Quasi-Newton Variants for Parallel Fluid-Structure Simulations---and Other Multiphysics Applications. SIAM Journal on Scientific Computing. 39(5). S404–S433. 21 indexed citations

Haelterman, Rob, et al.. (2016). Improving the performance of the partitioned QN-ILS procedure for fluid–structure interaction problems: Filtering. Computers & Structures. 171. 9–17. 50 indexed citations

Lindner, Florian, et al.. (2016). A Review on Fast Quasi-Newton and Accelerated Fixed-Point Iterations for Partitioned Fluid–Structure Interaction Simulation. 257–269. 3 indexed citations

Bungartz, Hans‐Joachim, Florian Lindner, Bernhard Gatzhammer, et al.. (2016). preCICE – A fully parallel library for multi-physics surface coupling. Computers & Fluids. 141. 250–258. 185 indexed citations

Lindner, Florian, Miriam Mehl, Klaudius Scheufele, & Benjamin Uekérmann. (2015). A comparison of various quasi-newton schemes for partitioned fluid-structure interaction. mediaTUM (Technical University of Munich). 477–488. 14 indexed citations

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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