S. Ramani

1.2k total citations
10 papers, 785 citations indexed

About

S. Ramani is a scholar working on Computational Mechanics, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, S. Ramani has authored 10 papers receiving a total of 785 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computational Mechanics, 6 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in S. Ramani's work include Sparse and Compressive Sensing Techniques (7 papers), Medical Imaging Techniques and Applications (5 papers) and Image and Signal Denoising Methods (4 papers). S. Ramani is often cited by papers focused on Sparse and Compressive Sensing Techniques (7 papers), Medical Imaging Techniques and Applications (5 papers) and Image and Signal Denoising Methods (4 papers). S. Ramani collaborates with scholars based in Switzerland, France and United States. S. Ramani's co-authors include Jeffrey A. Fessler, Michaël Unser, Thierry Blu, Zhihao Liu, Jon‐Fredrik Nielsen, Jeffrey M. Rosen, Cédric Vonesch, Dimitri Van De Ville and P. Thévenaz and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Transactions on Medical Imaging and IEEE Signal Processing Letters.

In The Last Decade

S. Ramani

10 papers receiving 753 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
S. Ramani Switzerland	7	438	348	274	239	83	10	785
Greg Ongie United States	11	258 0.6×	348 1.0×	275 1.0×	170 0.7×	37 0.4×	25	714
Clarice Poon United Kingdom	10	380 0.9×	273 0.8×	159 0.6×	224 0.9×	65 0.8×	20	717
Stamatios Lefkimmiatis Switzerland	11	133 0.3×	260 0.7×	410 1.5×	174 0.7×	43 0.5×	27	693
Sathish Ramani United States	13	279 0.6×	150 0.4×	145 0.5×	166 0.7×	27 0.3×	35	491
Matthias J. Ehrhardt United Kingdom	14	429 1.0×	184 0.5×	132 0.5×	173 0.7×	48 0.6×	46	719
Martin Höller Austria	14	231 0.5×	189 0.5×	240 0.9×	102 0.4×	66 0.8×	41	613
Riccardo Zanella Italy	9	115 0.3×	290 0.8×	227 0.8×	150 0.6×	147 1.8×	14	592
Dennis M. Healy United States	12	172 0.4×	336 1.0×	213 0.8×	290 1.2×	21 0.3×	46	787
Chengda Yang United States	3	117 0.3×	283 0.8×	413 1.5×	96 0.4×	62 0.7×	3	671
Silvia Bonettini Italy	13	106 0.2×	437 1.3×	240 0.9×	138 0.6×	185 2.2×	47	704

Countries citing papers authored by S. Ramani

Since Specialization

Citations

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

Fields of papers citing papers by S. Ramani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Ramani

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

All Works

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10 of 10 papers shown

Ramani, S., Zhihao Liu, Jeffrey M. Rosen, Jon‐Fredrik Nielsen, & Jeffrey A. Fessler. (2012). Regularization Parameter Selection for Nonlinear Iterative Image Restoration and MRI Reconstruction Using GCV and SURE-Based Methods. IEEE Transactions on Image Processing. 21(8). 3659–3672. 122 indexed citations

Ramani, S. & Jeffrey A. Fessler. (2011). A Splitting-Based Iterative Algorithm for Accelerated Statistical X-Ray CT Reconstruction. IEEE Transactions on Medical Imaging. 31(3). 677–688. 187 indexed citations

Ramani, S. & Jeffrey A. Fessler. (2011). Regularized parallel mri reconstruction using an alternating direction method of multipliers. 7446. 385–388. 9 indexed citations

Ramani, S., P. Thévenaz, & Michaël Unser. (2010). Regularized Interpolation for Noisy Images. IEEE Transactions on Medical Imaging. 29(2). 543–558. 12 indexed citations

Ramani, S. & Jeffrey A. Fessler. (2010). Parallel MR Image Reconstruction Using Augmented Lagrangian Methods. IEEE Transactions on Medical Imaging. 30(3). 694–706. 161 indexed citations

Ramani, S., Thierry Blu, & Michaël Unser. (2008). Monte-Carlo Sure: A Black-Box Optimization of Regularization Parameters for General Denoising Algorithms. IEEE Transactions on Image Processing. 17(9). 1540–1554. 243 indexed citations

Vonesch, Cédric, S. Ramani, & Michaël Unser. (2008). Recursive risk estimation for non-linear image deconvolution with a wavelet-domain sparsity constraint. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 665–668. 33 indexed citations

Ramani, S. & Michaël Unser. (2006). Mate/spl acute/rn B-splines and the optimal reconstruction of signals. IEEE Signal Processing Letters. 13(7). 437–440. 6 indexed citations

Ramani, S., Dimitri Van De Ville, & Michaël Unser. (2006). Non-Ideal Sampling and Adapted Reconstruction Using the Stochastic Matern Model. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 2. II–73. 6 indexed citations

10.

Ramani, S., Dimitri Van De Ville, & Michaël Unser. (2005). Sampling in practice: is the best reconstruction space bandlimited?. Infoscience (Ecole Polytechnique Fédérale de Lausanne). II–153. 6 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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