Zachary Charles

5.4k total citations
10 papers, 80 citations indexed

About

Zachary Charles is a scholar working on Artificial Intelligence, Geometry and Topology and Computational Theory and Mathematics. According to data from OpenAlex, Zachary Charles has authored 10 papers receiving a total of 80 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 3 papers in Geometry and Topology and 3 papers in Computational Theory and Mathematics. Recurrent topics in Zachary Charles's work include Graph theory and applications (3 papers), Privacy-Preserving Technologies in Data (2 papers) and Stochastic Gradient Optimization Techniques (2 papers). Zachary Charles is often cited by papers focused on Graph theory and applications (3 papers), Privacy-Preserving Technologies in Data (2 papers) and Stochastic Gradient Optimization Techniques (2 papers). Zachary Charles collaborates with scholars based in United States and Israel. Zachary Charles's co-authors include Dimitris Papailiopoulos, Shengchao Liu, Stephen J. Wright, Hongyi Wang, Scott Sievert, Lee Kennedy‐Shaffer, Keith Rush, Charles R. Johnson, Gary Cheng and Zachary Garrett and has published in prestigious journals such as Linear Algebra and its Applications, SIAM Journal on Matrix Analysis and Applications and Discrete Mathematics.

In The Last Decade

Zachary Charles

10 papers receiving 78 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zachary Charles United States	6	54	21	17	15	14	10	80
Ameya Velingker United States	7	31 0.6×	16 0.8×	29 1.7×	12 0.8×	31 2.2×	12	84
Øyvind Ryan Norway	4	16 0.3×	24 1.1×	22 1.3×	13 0.9×	8 0.6×	17	74
Blake Woodworth United States	5	70 1.3×	10 0.5×	17 1.0×	6 0.4×	27 1.9×	9	94
Takahiro Matsuda Japan	6	62 1.1×	17 0.8×	26 1.5×	8 0.5×	4 0.3×	29	99
Konstantin Mishchenko Saudi Arabia	5	46 0.9×	13 0.6×	17 1.0×	10 0.7×	42 3.0×	15	86
Karl Wimmer United States	7	57 1.1×	38 1.8×	9 0.5×	3 0.2×	4 0.3×	28	124
Valérie Gauthier–Umaña Colombia	4	76 1.4×	42 2.0×	15 0.9×	17 1.1×		5	87
Yossi Arjevani Israel	4	51 0.9×	7 0.3×	20 1.2×	5 0.3×	32 2.3×	10	77
John Steinberger China	6	32 0.6×	18 0.9×	9 0.5×	13 0.9×	1 0.1×	17	69
Sébastien Rouault Switzerland	7	127 2.4×	19 0.9×	28 1.6×	6 0.4×	5 0.4×	11	142

Countries citing papers authored by Zachary Charles

Since Specialization

Citations

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

Fields of papers citing papers by Zachary Charles

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zachary Charles

This figure shows the co-authorship network connecting the top 25 collaborators of Zachary Charles. A scholar is included among the top collaborators of Zachary Charles 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 Zachary Charles. Zachary Charles 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

1.

Cheng, Gary, Zachary Charles, Zachary Garrett, & Keith Rush. (2022). Does Federated Dropout actually work?. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 3386–3394. 11 indexed citations

2.

Charles, Zachary, et al.. (2019). A Geometric Perspective on the Transferability of Adversarial Directions. International Conference on Artificial Intelligence and Statistics. 1960–1968. 1 indexed citations

3.

Charles, Zachary, et al.. (2019). Does Data Augmentation Lead to Positive Margin?. arXiv (Cornell University). 5321–5330. 1 indexed citations

4.

Wang, Hongyi, Scott Sievert, Shengchao Liu, et al.. (2018). ATOMO: Communication-efficient Learning via Atomic Sparsification. arXiv (Cornell University). 31. 9850–9861. 31 indexed citations

5.

Charles, Zachary, et al.. (2018). Distributions of the Number of Solutions to the Network Power Flow Equations. 1–5. 5 indexed citations

6.

Charles, Zachary, Amin Jalali, & Rebecca Willett. (2018). SPARSE SUBSPACE CLUSTERING WITH MISSING AND CORRUPTED DATA. 37. 180–184. 5 indexed citations

7.

Charles, Zachary & Dimitris Papailiopoulos. (2018). Gradient Coding Using the Stochastic Block Model. 1998–2002. 15 indexed citations

8.

Charles, Zachary, et al.. (2013). Nonpositive Eigenvalues of Hollow, Symmetric, Nonnegative Matrices. SIAM Journal on Matrix Analysis and Applications. 34(3). 1384–1400. 5 indexed citations

9.

Charles, Zachary, et al.. (2013). Nonpositive eigenvalues of the adjacency matrix and lower bounds for Laplacian eigenvalues. Discrete Mathematics. 313(13). 1441–1451. 2 indexed citations

10.

Charles, Zachary, et al.. (2012). The relation between the diagonal entries and the eigenvalues of a symmetric matrix, based upon the sign pattern of its off-diagonal entries. Linear Algebra and its Applications. 438(3). 1427–1445. 4 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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