Karsten Tabelow

1.4k total citations
60 papers, 926 citations indexed

About

Karsten Tabelow is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Computer Vision and Pattern Recognition. According to data from OpenAlex, Karsten Tabelow has authored 60 papers receiving a total of 926 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Radiology, Nuclear Medicine and Imaging, 13 papers in Cognitive Neuroscience and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Karsten Tabelow's work include Advanced MRI Techniques and Applications (28 papers), Advanced Neuroimaging Techniques and Applications (24 papers) and MRI in cancer diagnosis (13 papers). Karsten Tabelow is often cited by papers focused on Advanced MRI Techniques and Applications (28 papers), Advanced Neuroimaging Techniques and Applications (24 papers) and MRI in cancer diagnosis (13 papers). Karsten Tabelow collaborates with scholars based in Germany, United States and United Kingdom. Karsten Tabelow's co-authors include Jörg Polzehl, Henning U. Voss, Douglas Ballon, Siawoosh Mohammadi, Vladimir Spokoiny, Nikolaus Weiskopf, Jonathan P. Dyke, Linda Heier, Nicholas D. Schiff and Joseph J. Fins and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and SHILAP Revista de lepidopterología.

In The Last Decade

Karsten Tabelow

56 papers receiving 898 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Karsten Tabelow Germany 16 464 305 170 96 89 60 926
Talia M. Nir United States 22 778 1.7× 746 2.4× 81 0.5× 174 1.8× 56 0.6× 76 1.6k
U. Tomiyasu United States 12 70 0.2× 312 1.0× 179 1.1× 87 0.9× 165 1.9× 24 1.1k
Thomas Ernst United States 20 515 1.1× 412 1.4× 235 1.4× 267 2.8× 112 1.3× 24 1.8k
M. Alpern United States 32 274 0.6× 1.1k 3.5× 259 1.5× 57 0.6× 37 0.4× 74 2.9k
J. Cooper Roddey United States 15 359 0.8× 580 1.9× 58 0.3× 4 0.0× 47 0.5× 19 1.8k
Lana Vasung United States 27 919 2.0× 624 2.0× 141 0.8× 11 0.1× 87 1.0× 62 2.3k
Ryan P. Cabeen United States 19 539 1.2× 288 0.9× 63 0.4× 14 0.1× 147 1.7× 66 1.1k
M. Okan İrfanoğlu United States 17 1.3k 2.9× 552 1.8× 144 0.8× 19 0.2× 184 2.1× 39 1.7k
Francisco Gómez Colombia 18 248 0.5× 882 2.9× 436 2.6× 163 1.7× 209 2.3× 57 1.4k
Kirt Schaper United States 13 651 1.4× 332 1.1× 40 0.2× 53 0.6× 33 0.4× 19 1.5k

Countries citing papers authored by Karsten Tabelow

Since Specialization
Citations

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

Fields of papers citing papers by Karsten Tabelow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karsten Tabelow

This figure shows the co-authorship network connecting the top 25 collaborators of Karsten Tabelow. A scholar is included among the top collaborators of Karsten Tabelow 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 Karsten Tabelow. Karsten Tabelow is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Tabelow, Karsten, et al.. (2025). Utilizing anatomical information for signal detection in functional magnetic resonance imaging. F1000Research. 14. 1019–1019.
2.
Koprucki, Thomas, Christoph Lehrenfeld, Marco Reidelbach, et al.. (2023). Research-data management planning in the German mathematical community. GoeScholar The Publication Server of the Georg-August-Universität Göttingen (Georg-August-Universität Göttingen). 40–47. 1 indexed citations
3.
Tabelow, Karsten, et al.. (2022). Axisymmetric diffusion kurtosis imaging with Rician bias correction: A simulation study. Magnetic Resonance in Medicine. 89(2). 787–799. 3 indexed citations
4.
Mohammadi, Siawoosh, Luke Edwards, Antoine Lutti, et al.. (2022). Error quantification in multi-parameter mapping facilitates robust estimation and enhanced group level sensitivity. NeuroImage. 262. 119529–119529. 1 indexed citations
5.
Tabelow, Karsten, Evelyne Balteau, John Ashburner, et al.. (2019). hMRI – A toolbox for quantitative MRI in neuroscience and clinical research. NeuroImage. 194. 191–210. 145 indexed citations
6.
Balteau, Evelyne, Karsten Tabelow, John Ashburner, et al.. (2018). hMRI -- A toolbox for using quantitative MRI in neuroscience and clinical research. Lund University Publications (Lund University). 1 indexed citations
7.
Deliano, Matthias, Karsten Tabelow, Reinhard König, & Jörg Polzehl. (2016). Improving Accuracy and Temporal Resolution of Learning Curve Estimation for within- and across-Session Analysis. PLoS ONE. 11(6). e0157355–e0157355. 5 indexed citations
8.
9.
Mohammadi, Siawoosh, Karsten Tabelow, Lars Ruthotto, et al.. (2015). High-resolution diffusion kurtosis imaging at 3T enabled by advanced post-processing. Frontiers in Neuroscience. 8. 427–427. 21 indexed citations
10.
Tabelow, Karsten, et al.. (2014). Adaptive smoothing of multi-shell diffusion weighted magnetic resonance data by msPOAS. NeuroImage. 95. 90–105. 30 indexed citations
11.
Tabelow, Karsten, Siawoosh Mohammadi, Nikolaus Weiskopf, & Jörg Polzehl. (2014). POAS4SPM: A Toolbox for SPM to Denoise Diffusion MRI Data. Neuroinformatics. 13(1). 19–29. 11 indexed citations
12.
Welvaert, Marijke, Karsten Tabelow, Ruth Seurinck, & Yves Rosseel. (2013). Adaptive Smoothing as Inference Strategy. Neuroinformatics. 11(4). 435–445. 1 indexed citations
13.
Polzehl, Jörg & Karsten Tabelow. (2011). Statistical Parametric Maps for Functional MRI Experiments in R: The Package fmri. SHILAP Revista de lepidopterología. 3 indexed citations
14.
Tabelow, Karsten, Henning U. Voss, & Jörg Polzehl. (2011). Modeling the orientation distribution function by mixtures of angular central Gaussian distributions. Journal of Neuroscience Methods. 203(1). 200–211. 16 indexed citations
15.
Tabelow, Karsten, Jonathan D. Clayden, Pierre Lafaye de Micheaux, et al.. (2011). Image analysis and statistical inference in neuroimaging with R. NeuroImage. 55(4). 1686–1693. 26 indexed citations
16.
Polzehl, Jörg & Karsten Tabelow. (2010). Beyond the diffusion tensor model: The package dti. Open MIND. 1 indexed citations
17.
Polzehl, Jörg, Henning U. Voss, & Karsten Tabelow. (2010). Structural adaptive segmentation for statistical parametric mapping. NeuroImage. 52(2). 515–523. 19 indexed citations
18.
Tabelow, Karsten, Valentin Piëch, Jörg Polzehl, & Henning U. Voss. (2008). High-resolution fMRI: Overcoming the signal-to-noise problem. Journal of Neuroscience Methods. 178(2). 357–365. 21 indexed citations
19.
Tabelow, Karsten, Jörg Polzehl, Henning U. Voss, & Vladimir Spokoiny. (2006). Analyzing fMRI experiments with structural adaptive smoothing procedures. NeuroImage. 33(1). 55–62. 59 indexed citations
20.
Fu, Jinghua, et al.. (2001). Criticality in Quark-Gluon Systems Far Beyond Thermal and Chemical Equilibrium. Physical Review Letters. 86(10). 1961–1964. 2 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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