Anna C. Gilbert

18.3k total citations · 2 hit papers
85 papers, 12.0k citations indexed

About

Anna C. Gilbert is a scholar working on Computational Mechanics, Signal Processing and Computer Networks and Communications. According to data from OpenAlex, Anna C. Gilbert has authored 85 papers receiving a total of 12.0k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Computational Mechanics, 29 papers in Signal Processing and 25 papers in Computer Networks and Communications. Recurrent topics in Anna C. Gilbert's work include Sparse and Compressive Sensing Techniques (44 papers), Blind Source Separation Techniques (21 papers) and Image and Signal Denoising Methods (17 papers). Anna C. Gilbert is often cited by papers focused on Sparse and Compressive Sensing Techniques (44 papers), Blind Source Separation Techniques (21 papers) and Image and Signal Denoising Methods (17 papers). Anna C. Gilbert collaborates with scholars based in United States, Germany and Israel. Anna C. Gilbert's co-authors include Joel A. Tropp, Martin J. Strauss, Walter Willinger, Anja Feldmann, Michael Strauss, Piotr Indyk, Yannis Kotidis, S. Muthukrishnan, S. Muthukrishnan and Chun‐Ying Huang and has published in prestigious journals such as Technometrics, Proceedings of the IEEE and Acta Materialia.

In The Last Decade

Anna C. Gilbert

85 papers receiving 11.3k citations

Hit Papers

Signal Recovery From Random Measurements Via Orthogonal M... 2005 2026 2012 2019 2007 2005 2.0k 4.0k 6.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anna C. Gilbert United States 33 6.6k 3.2k 3.1k 3.0k 2.6k 85 12.0k
Marco F. Duarte United States 33 5.5k 0.8× 3.2k 1.0× 1.9k 0.6× 2.4k 0.8× 2.0k 0.8× 97 9.2k
Robert D. Nowak United States 52 6.7k 1.0× 3.0k 0.9× 2.3k 0.7× 3.0k 1.0× 4.3k 1.7× 238 15.0k
Bhaskar D. Rao United States 52 5.7k 0.9× 2.0k 0.6× 6.0k 1.9× 5.3k 1.8× 2.3k 0.9× 388 15.1k
Michael B. Wakin United States 39 11.7k 1.8× 5.8k 1.8× 4.1k 1.3× 4.2k 1.4× 4.5k 1.7× 160 17.8k
Mark A. Davenport United States 27 4.9k 0.7× 2.8k 0.9× 1.7k 0.6× 1.6k 0.5× 1.8k 0.7× 82 7.9k
Justin Romberg United States 19 10.6k 1.6× 5.8k 1.8× 3.0k 1.0× 3.0k 1.0× 3.6k 1.4× 37 14.9k
Amir Beck Israel 32 6.1k 0.9× 2.3k 0.7× 1.2k 0.4× 2.2k 0.7× 3.6k 1.4× 83 14.3k
Benjamin Recht United States 47 6.8k 1.0× 1.5k 0.5× 2.6k 0.8× 1.6k 0.5× 5.0k 1.9× 101 16.5k
Joel A. Tropp United States 42 14.1k 2.1× 5.9k 1.9× 5.6k 1.8× 4.7k 1.6× 5.1k 2.0× 97 22.2k
Wotao Yin United States 53 9.6k 1.5× 2.9k 0.9× 1.7k 0.5× 2.0k 0.7× 6.9k 2.7× 176 18.5k

Countries citing papers authored by Anna C. Gilbert

Since Specialization
Citations

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

Fields of papers citing papers by Anna C. Gilbert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anna C. Gilbert. 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 Anna C. Gilbert. The network helps show where Anna C. Gilbert may publish in the future.

Co-authorship network of co-authors of Anna C. Gilbert

This figure shows the co-authorship network connecting the top 25 collaborators of Anna C. Gilbert. A scholar is included among the top collaborators of Anna C. Gilbert 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 Anna C. Gilbert. Anna C. Gilbert 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.
Gilbert, Anna C., Howard Levinson, & John C. Schotland. (2018). Imaging from the inside out: inverse scattering with photoactivated internal sources. Optics Letters. 43(12). 3005–3005. 2 indexed citations
2.
Gilbert, Anna C., Yi Li, Ely Porat, & Martin J. Strauss. (2017). For-All Sparse Recovery in Near-Optimal Time. ACM Transactions on Algorithms. 13(3). 1–26. 6 indexed citations
3.
Gilbert, Anna C., et al.. (2014). Correcting camera shake by incremental sparse approximation. Edge Hill University Research Information Repository (Edge Hill University). 8 indexed citations
4.
Boufounos, Petros T., Volkan Cevher, Anna C. Gilbert, Yi Li, & Martin J. Strauss. (2014). What’s the Frequency, Kenneth?: Sublinear Fourier Sampling Off the Grid. Algorithmica. 73(2). 261–288. 6 indexed citations
5.
Flynn, Michael P., et al.. (2012). A Low-Power Compressive Sampling Time-Based Analog-to-Digital Converter. IEEE Journal on Emerging and Selected Topics in Circuits and Systems. 2(3). 502–515. 17 indexed citations
6.
Lynch, Jerome P., et al.. (2011). Compressive sensing approach for structural health monitoring of ship hulls. Structural Health Monitoring. 4 indexed citations
7.
Kainkaryam, Raghunandan M., et al.. (2010). poolMC: Smart pooling of mRNA samples in microarray experiments. BMC Bioinformatics. 11(1). 299–299. 21 indexed citations
8.
Berinde, Radu, Anna C. Gilbert, Piotr Indyk, Howard Karloff, & Michael Strauss. (2008). Combining geometry and combinatorics: A unified approach to sparse signal recovery. 798–805. 227 indexed citations
9.
Aiello, William, et al.. (2005). Sparse approximations for high fidelity compression of network traffic data. 22–22. 7 indexed citations
10.
Calderbank, A.R., Anna C. Gilbert, Kirill Levchenko, S. Muthukrishnan, & Michael Strauss. (2005). Improved range-summable random variable construction algorithms. Symposium on Discrete Algorithms. 840–849. 10 indexed citations
11.
Gilbert, Anna C., S. Muthukrishnan, & Martin J. Strauss. (2003). Approximation of functions over redundant dictionaries using coherence. Symposium on Discrete Algorithms. 243–252. 104 indexed citations
12.
Gilbert, Anna C., Sudipto Guha, Piotr Indyk, et al.. (2002). Fast, small-space algorithms for approximate histogram maintenance. 12 indexed citations
13.
Gilbert, Anna C., Yannis Kotidis, S. Muthukrishnan, & Martin J. Strauss. (2001). Surfing Wavelets on Streams: One-Pass Summaries for Approximate Aggregate Queries. Very Large Data Bases. 79–88. 255 indexed citations
14.
Ribeiro, Vinay J., et al.. (2001). TCP/IP traffic dynamics and network performance. ACM SIGCOMM Computer Communication Review. 31(2). 25–37. 35 indexed citations
15.
Gilbert, Anna C.. (2001). Multiscale Analysis and Data Networks. Applied and Computational Harmonic Analysis. 10(3). 185–202. 19 indexed citations
16.
Seuret, Stéphane & Anna C. Gilbert. (2000). Pointwise Hölder exponent estimation in data network traffic. 4 indexed citations
17.
Ribeiro, Vinay J., et al.. (1999). On the impact of variability on the buffer dynamics in IP networks. Rice Digital Scholarship Archive (Rice University). 14 indexed citations
18.
Gilbert, Anna C., Walter Willinger, & Anja Feldmann. (1999). Scaling analysis of conservative cascades, with applications to network traffic. IEEE Transactions on Information Theory. 45(3). 971–991. 82 indexed citations
19.
Beylkin, Gregory, M. E. Brewster, & Anna C. Gilbert. (1998). A Multiresolution Method for Numerical Reduction and Homogenization of Nonlinear ODEs. Applied and Computational Harmonic Analysis. 5(4). 450–486. 6 indexed citations
20.
Gilbert, Anna C.. (1998). A Comparison of Multiresolution and Classical One-Dimensional Homogenization Schemes. Applied and Computational Harmonic Analysis. 5(1). 1–35. 30 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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