Stephen R. Becker

1.1k total citations · 1 hit paper
8 papers, 676 citations indexed

About

Stephen R. Becker is a scholar working on Biomedical Engineering, Computational Mechanics and Biophysics. According to data from OpenAlex, Stephen R. Becker has authored 8 papers receiving a total of 676 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Biomedical Engineering, 3 papers in Computational Mechanics and 2 papers in Biophysics. Recurrent topics in Stephen R. Becker's work include Sparse and Compressive Sensing Techniques (3 papers), Material Dynamics and Properties (2 papers) and Photoacoustic and Ultrasonic Imaging (2 papers). Stephen R. Becker is often cited by papers focused on Sparse and Compressive Sensing Techniques (3 papers), Material Dynamics and Properties (2 papers) and Photoacoustic and Ultrasonic Imaging (2 papers). Stephen R. Becker collaborates with scholars based in United States, Canada and Switzerland. Stephen R. Becker's co-authors include Michael C. Grant, Emmanuel J. Candès, Francis W. Starr, Peter H. Poole, Sergey V. Buldyrev, H. Eugene Stanley, Pradeep Kumar, Simeng Chen, Joel A. Tropp and Carol J. Cogswell and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Optics Express.

In The Last Decade

Stephen R. Becker

8 papers receiving 641 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Templates for convex cone problems with applications to sparse signal recovery

2011 356 citations Stephen R. Becker, Emmanuel J. Candès et al. Mathematical Programming Computation profile →

Peers

Stephen R. Becker

MC

CM

BE

AMPO

CVPR

Hans Weber Germany

Rustum Choksi Canada

Shravan Veerapaneni United States

Roman O. Grigoriev United States

Frank Morgan United States

Irene Fonseca United States

Egemen Kolemen United States

Stefan Hildebrandt Germany

F. D. Murnaghan Brazil

Carl P. Dettmann United Kingdom

Hans Weber Germany

Stephen R. Becker

364 ×1.5

MC

67 ×0.3

CM

84 ×0.4

BE

285 ×2.6

AMPO

27 ×0.3

CVPR

Citations per year, relative to Stephen R. Becker Stephen R. Becker (= 1×) peers Hans Weber

Countries citing papers authored by Stephen R. Becker

Since Specialization

Citations

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

Fields of papers citing papers by Stephen R. Becker

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen R. Becker

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Chen, Simeng, et al.. (2020). Analyzing the super-resolution characteristics of focused-spot illumination approaches. Journal of Biomedical Optics. 25(5). 1–1. 6 indexed citations

2.

Becker, Stephen R., et al.. (2020). Coherent school improvement: Integrating outcomes-based assessment and trauma-informed practice. Improving Schools. 24(2). 124–136. 3 indexed citations

3.

Becker, Stephen R., et al.. (2018). Achieving superresolution with illumination-enhanced sparsity. Optics Express. 26(8). 9850–9850. 6 indexed citations

4.

Tropp, Joel A., et al.. (2015). Designing Statistical Estimators That Balance Sample Size, Risk, and Computational Cost. IEEE Journal of Selected Topics in Signal Processing. 9(4). 612–624. 8 indexed citations

5.

Becker, Stephen R., Lior Horesh, Aleksandr Y. Aravkin, E. van den Berg, & Sergiy Zhuk. (2015). General Optimization Framework for Robust and Regularized 3D FWI. Proceedings. 2 indexed citations

6.

Becker, Stephen R., Emmanuel J. Candès, & Michael C. Grant. (2011). Templates for convex cone problems with applications to sparse signal recovery. Mathematical Programming Computation. 3(3). 165–218. 356 indexed citations breakdown →

7.

Kumar, Pradeep, Sergey V. Buldyrev, Stephen R. Becker, et al.. (2007). Relation between the Widom line and the breakdown of the Stokes–Einstein relation in supercooled water. Proceedings of the National Academy of Sciences. 104(23). 9575–9579. 142 indexed citations

8.

Becker, Stephen R., Peter H. Poole, & Francis W. Starr. (2006). Fractional Stokes-Einstein and Debye-Stokes-Einstein Relations in a Network-Forming Liquid. Physical Review Letters. 97(5). 55901–55901. 153 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.

Explore authors with similar magnitude of impact