Madeleine Udell

2.0k total citations
41 papers, 628 citations indexed

About

Madeleine Udell is a scholar working on Artificial Intelligence, Computational Mechanics and Computational Theory and Mathematics. According to data from OpenAlex, Madeleine Udell has authored 41 papers receiving a total of 628 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 14 papers in Computational Mechanics and 11 papers in Computational Theory and Mathematics. Recurrent topics in Madeleine Udell's work include Sparse and Compressive Sensing Techniques (11 papers), Advanced Optimization Algorithms Research (7 papers) and Medical Image Segmentation Techniques (5 papers). Madeleine Udell is often cited by papers focused on Sparse and Compressive Sensing Techniques (11 papers), Advanced Optimization Algorithms Research (7 papers) and Medical Image Segmentation Techniques (5 papers). Madeleine Udell collaborates with scholars based in United States, China and Switzerland. Madeleine Udell's co-authors include Stephen Boyd, Alex Townsend, Jicong Fan, Reza Bosagh Zadeh, Steven Diamond, Joel A. Tropp, Yang Guo, Yiming Sun, Nigam H. Shah and Yuantao Gu and has published in prestigious journals such as IEEE Transactions on Signal Processing, Journal of Theoretical Biology and Journal of Statistical Software.

In The Last Decade

Madeleine Udell

38 papers receiving 607 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Madeleine Udell United States	15	194	144	112	83	78	41	628
Zhaoran Wang United States	15	197 1.0×	208 1.4×	51 0.5×	27 0.3×	50 0.6×	53	615
Venkat Chandrasekaran United States	11	184 0.9×	214 1.5×	82 0.7×	19 0.2×	36 0.5×	27	589
C. Eric United States	13	279 1.4×	147 1.0×	157 1.4×	170 2.0×	26 0.3×	41	743
Berkant Savas Sweden	10	140 0.7×	151 1.0×	85 0.8×	282 3.4×	20 0.3×	19	531
Xudong Li China	16	199 1.0×	310 2.2×	84 0.8×	21 0.3×	88 1.1×	62	818
Zhao Song United States	17	314 1.6×	83 0.6×	104 0.9×	23 0.3×	65 0.8×	67	698
Daniel Dunlavy United States	14	339 1.7×	263 1.8×	141 1.3×	555 6.7×	56 0.7×	34	1.1k
Wangdong Yang China	12	209 1.1×	38 0.3×	145 1.3×	45 0.5×	86 1.1×	52	670
Purushottam Kar India	14	647 3.3×	145 1.0×	311 2.8×	11 0.1×	51 0.7×	32	1.0k

Countries citing papers authored by Madeleine Udell

Since Specialization

Citations

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

Fields of papers citing papers by Madeleine Udell

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Madeleine Udell

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

Udell, Madeleine, et al.. (2024). SketchySGD: Reliable Stochastic Optimization via Randomized Curvature Estimates. SIAM Journal on Mathematics of Data Science. 6(4). 1173–1204.

Drori, Iddo, et al.. (2023). From Human Days to Machine Seconds: Automatically Answering and Generating Machine Learning Final Exams. 3947–3955. 5 indexed citations

Yoon, Jinsung, et al.. (2023). Data-Efficient and Interpretable Tabular Anomaly Detection. 190–201. 7 indexed citations

Udell, Madeleine, et al.. (2023). The Missing Indicator Method: From Low to High Dimensions. 5004–5015. 3 indexed citations

Tropp, Joel A., et al.. (2023). Randomized Nyström Preconditioning. SIAM Journal on Matrix Analysis and Applications. 44(2). 718–752. 9 indexed citations

Udell, Madeleine, et al.. (2022). Sparse Data Reconstruction, Missing Value and Multiple Imputation through Matrix Factorization. Sociological Methodology. 53(1). 72–114. 3 indexed citations

Kouri, Drew, et al.. (2021). Randomized Sketching Algorithms for Low-Memory Dynamic Optimization. SIAM Journal on Optimization. 31(2). 1242–1275. 4 indexed citations

Cevher, Volkan, et al.. (2021). An Optimal-Storage Approach to Semidefinite Programming Using Approximate Complementarity. SIAM Journal on Optimization. 31(4). 2695–2725. 7 indexed citations

Udell, Madeleine, et al.. (2021). On the Simplicity and Conditioning of Low Rank Semidefinite Programs. SIAM Journal on Optimization. 31(4). 2614–2637. 1 indexed citations

10.

Sun, Yiming, et al.. (2020). Low-Rank Tucker Approximation of a Tensor from Streaming Data. SIAM Journal on Mathematics of Data Science. 2(4). 1123–1150. 51 indexed citations

11.

Udell, Madeleine, et al.. (2020). Matrix Completion with Quantified Uncertainty through Low Rank Gaussian Copula. arXiv (Cornell University). 33. 20977–20988. 1 indexed citations

12.

Udell, Madeleine, et al.. (2019). Optimal Design of Efficient Rooftop Photovoltaic Arrays. CaltechAUTHORS (California Institute of Technology). 49(4). 281–294. 7 indexed citations

13.

Udell, Madeleine & Alex Townsend. (2019). Why Are Big Data Matrices Approximately Low Rank?. SIAM Journal on Mathematics of Data Science. 1(1). 144–160. 93 indexed citations

14.

Kim, Dae Won, et al.. (2018). OBOE: Collaborative Filtering for AutoML Initialization.. arXiv (Cornell University). 6 indexed citations

15.

Kallus, Nathan, Xiaojie Mao, & Madeleine Udell. (2018). Causal Inference with Noisy and Missing Covariates via Matrix Factorization. Neural Information Processing Systems. 31. 6921–6932. 2 indexed citations

16.

Gupta, Swati, et al.. (2018). Limited Memory Kelley's Method Converges for Composite Convex and Submodular Objectives. Neural Information Processing Systems. 31. 4414–4424.

17.

Udell, Madeleine & Stephen Boyd. (2016). Bounding duality gap for separable problems with linear constraints. Computational Optimization and Applications. 64(2). 355–378. 19 indexed citations

18.

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

19.

Schuler, Alejandro, Jean‐Louis Vincent, Joe Wan, et al.. (2015). DISCOVERING PATIENT PHENOTYPES USING GENERALIZED LOW RANK MODELS. PubMed. 21. 144–155. 19 indexed citations

20.

Udell, Madeleine, et al.. (2013). Incorporation of flexible objectives and time-linked simulation with flux balance analysis. Journal of Theoretical Biology. 345. 12–21. 15 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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