Damek Davis

1.4k total citations
32 papers, 406 citations indexed

About

Damek Davis is a scholar working on Computational Mechanics, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Damek Davis has authored 32 papers receiving a total of 406 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computational Mechanics, 13 papers in Artificial Intelligence and 13 papers in Computational Theory and Mathematics. Recurrent topics in Damek Davis's work include Sparse and Compressive Sensing Techniques (13 papers), Advanced Optimization Algorithms Research (11 papers) and Stochastic Gradient Optimization Techniques (9 papers). Damek Davis is often cited by papers focused on Sparse and Compressive Sensing Techniques (13 papers), Advanced Optimization Algorithms Research (11 papers) and Stochastic Gradient Optimization Techniques (9 papers). Damek Davis collaborates with scholars based in United States, Chile and United Kingdom. Damek Davis's co-authors include Wotao Yin, Luis M. Briceño-Arias, Douglas R. Isaacson, Aleksandr Y. Aravkin, Dmitriy Drusvyatskiy, Liwei Jiang, Jonathan Balzer, Stefano Soatto, Madeleine Udell and Daqing Wan and has published in prestigious journals such as The Annals of Statistics, Transportation Research Part C Emerging Technologies and Mathematical Programming.

In The Last Decade

Damek Davis

27 papers receiving 384 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Damek Davis United States	8	202	197	176	89	55	32	406
Feng Ma China	9	195 1.0×	115 0.6×	140 0.8×	58 0.7×	31 0.6×	29	339
Yura Malitsky Sweden	7	157 0.8×	239 1.2×	200 1.1×	102 1.1×	49 0.9×	13	374
Nobuhiko Ogura Japan	7	248 1.2×	300 1.5×	235 1.3×	43 0.5×	24 0.4×	12	547
Masoud Ahookhosh Austria	13	194 1.0×	204 1.0×	362 2.1×	53 0.6×	104 1.9×	29	480
Keyvan Amini Iran	16	206 1.0×	268 1.4×	490 2.8×	41 0.5×	84 1.5×	44	657
Dmitriy Drusvyatskiy United States	11	111 0.5×	202 1.0×	164 0.9×	33 0.4×	36 0.7×	37	319
Ch. Dossal France	5	218 1.1×	153 0.8×	118 0.7×	125 1.4×	56 1.0×	8	341
Jianchao Bai China	9	179 0.9×	130 0.7×	121 0.7×	43 0.5×	56 1.0×	36	310
Adrien Taylor France	10	194 1.0×	84 0.4×	161 0.9×	47 0.5×	158 2.9×	23	329
Nguyen Mau Nam United States	18	118 0.6×	682 3.5×	513 2.9×	95 1.1×	33 0.6×	54	820

Countries citing papers authored by Damek Davis

Since Specialization

Citations

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

Fields of papers citing papers by Damek Davis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Damek Davis

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

Davis, Damek, Dmitriy Drusvyatskiy, & Lishang Jiang. (2025). Gradient descent with adaptive stepsize converges (nearly) linearly under fourth-order growth. Mathematical Programming.

Davis, Damek, et al.. (2025). Clustering a mixture of Gaussians with unknown covariance. Bernoulli. 31(3).

Davis, Damek, et al.. (2025). Stochastic Optimization Over Proximally Smooth Sets. SIAM Journal on Optimization. 35(1). 157–179.

Davis, Damek & Liwei Jiang. (2024). A Local Nearly Linearly Convergent First-Order Method for Nonsmooth Functions with Quadratic Growth. Foundations of Computational Mathematics. 25(3). 943–1024. 2 indexed citations

Davis, Damek, Dmitriy Drusvyatskiy, & Liwei Jiang. (2024). Asymptotic normality and optimality in nonsmooth stochastic approximation. The Annals of Statistics. 52(4). 2 indexed citations

Davis, Damek, et al.. (2023). Stochastic algorithms with geometric step decay converge linearly on sharp functions. Mathematical Programming. 207(1-2). 145–190. 6 indexed citations

Davis, Damek, et al.. (2023). A Superlinearly Convergent Subgradient Method for Sharp Semismooth Problems. Mathematics of Operations Research. 49(3). 1678–1709. 1 indexed citations

Davis, Damek, et al.. (2022). Escaping Strict Saddle Points of the Moreau Envelope in Nonsmooth Optimization. SIAM Journal on Optimization. 32(3). 1958–1983. 3 indexed citations

Davis, Damek & Dmitriy Drusvyatskiy. (2019). Active strict saddles in nonsmooth optimization. arXiv (Cornell University). 1 indexed citations

10.

Qian, Wei, et al.. (2019). Global Convergence of the EM Algorithm for Mixtures of Two Component Linear Regression. Conference on Learning Theory. 2055–2110. 2 indexed citations

11.

Davis, Damek & Dmitriy Drusvyatskiy. (2019). Robust stochastic optimization with the proximal point method.. arXiv (Cornell University).

12.

Aravkin, Aleksandr Y. & Damek Davis. (2019). Trimmed Statistical Estimation via Variance Reduction. Mathematics of Operations Research. 45(1). 292–322. 13 indexed citations

13.

Briceño-Arias, Luis M. & Damek Davis. (2018). Forward-Backward-Half Forward Algorithm for Solving Monotone Inclusions. SIAM Journal on Optimization. 28(4). 2839–2871. 43 indexed citations

14.

Briceño-Arias, Luis M. & Damek Davis. (2017). Forward-Backward-Half Forward Algorithm with non Self-Adjoint Linear Operators for Solving Monotone Inclusions. arXiv (Cornell University). 2 indexed citations

15.

Davis, Damek & Wotao Yin. (2017). Faster Convergence Rates of Relaxed Peaceman-Rachford and ADMM Under Regularity Assumptions. Mathematics of Operations Research. 42(3). 783–805. 45 indexed citations

16.

Davis, Damek, et al.. (2016). The Sound of APALM Clapping: Faster Nonsmooth Nonconvex Optimization with Stochastic Asynchronous PALM. arXiv (Cornell University). 29. 226–234. 3 indexed citations

17.

Davis, Damek, et al.. (2015). Multi-view feature engineering and learning. 3021. 3251–3260. 8 indexed citations

18.

Davis, Damek. (2015). On the Design and Analysis of Operator-Splitting Schemes. eScholarship (California Digital Library). 1 indexed citations

19.

Davis, Damek, et al.. (2014). Efficient Computation of Separation-Compliant Speed Advisories for Air Traffic Arriving in Terminal Airspace. Journal of Dynamic Systems Measurement and Control. 136(4). 5 indexed citations

20.

Davis, Damek & Daqing Wan. (2010). Factorial and Noetherian subrings of power series rings. Proceedings of the American Mathematical Society. 139(3). 823–823. 2 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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