Stephen L. Keeling

1.2k total citations
38 papers, 889 citations indexed

About

Stephen L. Keeling is a scholar working on Radiology, Nuclear Medicine and Imaging, Computational Mechanics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Stephen L. Keeling has authored 38 papers receiving a total of 889 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Radiology, Nuclear Medicine and Imaging, 10 papers in Computational Mechanics and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Stephen L. Keeling's work include Advanced MRI Techniques and Applications (13 papers), MRI in cancer diagnosis (8 papers) and Numerical methods in inverse problems (8 papers). Stephen L. Keeling is often cited by papers focused on Advanced MRI Techniques and Applications (13 papers), MRI in cancer diagnosis (8 papers) and Numerical methods in inverse problems (8 papers). Stephen L. Keeling collaborates with scholars based in Austria, United States and Germany. Stephen L. Keeling's co-authors include Rudolf Stollberger, Roland Bammer, Franz Fazekas, Michael Augustin, Hans‐Peter Hartung, Klaas P. Pruessmann, Martin Auer, Rupert Prokesch, Michael E. Moseley and Lara Stables and has published in prestigious journals such as PLoS ONE, Annals of the New York Academy of Sciences and Magnetic Resonance in Medicine.

In The Last Decade

Stephen L. Keeling

37 papers receiving 859 citations

Peers

Stephen L. Keeling

RNMI

CVPR

PPCH

CCM

Remco Duits Netherlands

J.J.M. Cuppen Netherlands

Gerardo Hermosillo United States

Jon‐Fredrik Nielsen United States

N. Ayache France

Klaus Fritzsche Germany

Stefan Heldmann Germany

Matthias Mueller Germany

Zhang Song China

Remco Duits Netherlands

Stephen L. Keeling

572 ×0.9

RNMI

557 ×4.0

CVPR

71 ×0.6

38 ×0.5

PPCH

27 ×0.4

CCM

Citations per year, relative to Stephen L. Keeling Stephen L. Keeling (= 1×) peers Remco Duits

Countries citing papers authored by Stephen L. Keeling

Since Specialization

Citations

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

Fields of papers citing papers by Stephen L. Keeling

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen L. Keeling. 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 Stephen L. Keeling. The network helps show where Stephen L. Keeling may publish in the future.

Co-authorship network of co-authors of Stephen L. Keeling

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

All Works

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20 of 20 papers shown

Keeling, Stephen L. & Karl Kunisch. (2016). Robust $$\ell _1$$ ℓ 1 Approaches to Computing the Geometric Median and Principal and Independent Components. Journal of Mathematical Imaging and Vision. 56(1). 99–124. 1 indexed citations

Mendoza, Renier & Stephen L. Keeling. (2016). A two-phase segmentation approach to the impedance tomography problem. Inverse Problems. 33(1). 15001–15001. 4 indexed citations

Reishofer, Gernot, Karl Koschutnig, Christian Langkammer, et al.. (2013). Time-Optimized High-Resolution Readout-Segmented Diffusion Tensor Imaging. PLoS ONE. 8(9). e74156–e74156. 3 indexed citations

Keeling, Stephen L., Christian Clason, Michael Hintermüller, et al.. (2011). An image space approach to Cartesian based parallel MR imaging with total variation regularization. Medical Image Analysis. 16(1). 189–200. 14 indexed citations

Keeling, Stephen L., Michael Hintermüller, Florian Knöll, Daniel Kraft, & Antoine Laurain. (2011). A total variation based approach to correcting surface coil magnetic resonance images. Applied Mathematics and Computation. 218(2). 219–232. 5 indexed citations

Reishofer, Gernot, Karl Koschutnig, Christian Enzinger, et al.. (2010). Automated macrovessel artifact correction in dynamic susceptibility contrast magnetic resonance imaging using independent component analysis. Magnetic Resonance in Medicine. 65(3). 848–857. 8 indexed citations

Keeling, Stephen L., et al.. (2008). Deconvolution for DCE-MRI using an exponential approximation basis. Medical Image Analysis. 13(1). 80–90. 14 indexed citations

Knöll, Florian, Franz Ebner, Stephen L. Keeling, & Rudolf Stollberger. (2008). Assessment of image reconstruction methods for subsampled DCE-MRI. 3263–3263. 1 indexed citations

Reishofer, Gernot, Franz Fazekas, Stephen L. Keeling, et al.. (2007). Minimizing macrovessel signal in cerebral perfusion imaging using independent component analysis. Magnetic Resonance in Medicine. 57(2). 278–288. 8 indexed citations

10.

Keeling, Stephen L., Roland Bammer, & Rudolf Stollberger. (2007). Revision of the theory of tracer transport and the convolution model of dynamic contrast enhanced magnetic resonance imaging. Journal of Mathematical Biology. 55(3). 389–411. 4 indexed citations

11.

Keeling, Stephen L.. (2007). Generalized Rigid and Generalized Affine Image Registration and Interpolation by Geometric Multigrid. Journal of Mathematical Imaging and Vision. 29(2-3). 163–183. 4 indexed citations

12.

Burton, Rebecca A.B., Gernot Plank, Jürgen E. Schneider, et al.. (2006). Three‐Dimensional Models of Individual Cardiac Histoanatomy: Tools and Challenges. Annals of the New York Academy of Sciences. 1080(1). 301–319. 77 indexed citations

13.

Bammer, Roland, Martin Auer, Stephen L. Keeling, et al.. (2002). Diffusion tensor imaging using single‐shot SENSE‐EPI. Magnetic Resonance in Medicine. 48(1). 128–136. 234 indexed citations

14.

Keeling, Stephen L.. (2002). Total variation based convex filters for medical imaging. Applied Mathematics and Computation. 139(1). 101–119. 47 indexed citations

15.

Bammer, Roland, Stephen L. Keeling, Michael Augustin, et al.. (2001). Improved diffusion‐weighted single‐shot echo‐planar imaging (EPI) in stroke using sensitivity encoding (SENSE). Magnetic Resonance in Medicine. 46(3). 548–554. 251 indexed citations

16.

Bammer, Roland, et al.. (2001). Improved diffusion-weighted single-shot EPI in stroke using SENSE. 3 indexed citations

17.

Keeling, Stephen L. & Rudolf Stollberger. (2000). <title>Nonlinear anisotropic diffusion filters for wide range edge sharpening</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3979. 1309–1322. 15 indexed citations

18.

Fitzpatrick, Ben & Stephen L. Keeling. (1997). On approximation in total variation penalization for image reconstruction and inverse problems. Numerical Functional Analysis and Optimization. 18(9-10). 941–958. 9 indexed citations

19.

Keeling, Stephen L.. (1990). On Lipschitz Continuity of Nonlinear Differential Operators. SIAM Journal on Numerical Analysis. 27(2). 385–393. 2 indexed citations

20.

Keeling, Stephen L.. (1989). Galerkin/Runge-Kutta discretizations for parabolic equations with time-dependent coefficients. Mathematics of Computation. 52(186). 561–586. 10 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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