Keith Levin

813 total citations
12 papers, 217 citations indexed

About

Keith Levin is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Signal Processing. According to data from OpenAlex, Keith Levin has authored 12 papers receiving a total of 217 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 4 papers in Statistical and Nonlinear Physics and 3 papers in Signal Processing. Recurrent topics in Keith Levin's work include Bayesian Methods and Mixture Models (3 papers), Complex Network Analysis Techniques (3 papers) and Neural Networks and Applications (2 papers). Keith Levin is often cited by papers focused on Bayesian Methods and Mixture Models (3 papers), Complex Network Analysis Techniques (3 papers) and Neural Networks and Applications (2 papers). Keith Levin collaborates with scholars based in United States, Czechia and Germany. Keith Levin's co-authors include Aren Jansen, Katharine E. Henry, Karen Livescu, Vince Lyzinski, Benjamin Van Durme, Carey E. Priebe, Avanti Athreya, Minh Tang, Joshua T Vogelstein and Yichen Qin and has published in prestigious journals such as Technometrics, IEEE Transactions on Signal Processing and Current Opinion in Neurobiology.

In The Last Decade

Keith Levin

10 papers receiving 209 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Keith Levin United States 6 151 90 52 25 19 12 217
Mohamed Ishmael Belghazi Canada 3 228 1.5× 47 0.5× 29 0.6× 17 0.7× 106 5.6× 5 309
Antony Joseph United States 8 77 0.5× 27 0.3× 68 1.3× 14 0.6× 28 1.5× 14 297
Vassilis Kalofolias Switzerland 5 113 0.7× 25 0.3× 54 1.0× 10 0.4× 72 3.8× 6 207
Benigno Uría United Kingdom 7 196 1.3× 128 1.4× 15 0.3× 13 0.5× 75 3.9× 9 277
Urs Köster United States 7 80 0.5× 46 0.5× 17 0.3× 73 2.9× 97 5.1× 8 236
Will Wei Sun United States 11 95 0.6× 20 0.2× 21 0.4× 31 1.2× 39 2.1× 23 292
Andre Manoel France 7 121 0.8× 21 0.2× 14 0.3× 11 0.4× 18 0.9× 9 213
Joshua Cape United States 7 53 0.4× 8 0.1× 58 1.1× 46 1.8× 17 0.9× 21 175
Bastian Steudel Germany 5 186 1.2× 33 0.4× 11 0.2× 15 0.6× 6 0.3× 6 235
Ryo Karakida Japan 8 68 0.5× 13 0.1× 38 0.7× 14 0.6× 37 1.9× 22 159

Countries citing papers authored by Keith Levin

Since Specialization
Citations

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

Fields of papers citing papers by Keith Levin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keith Levin

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

All Works

12 of 12 papers shown
1.
Levin, Keith & Elizaveta Levina. (2025). Bootstrapping networks with latent space structure. Electronic Journal of Statistics. 19(1).
2.
Levin, Keith, et al.. (2022). Matrix means and a novel high-dimensional shrinkage phenomenon. Bernoulli. 28(4). 1 indexed citations
3.
Levin, Keith, et al.. (2020). Comment: Ridge Regression and Regularization of Large Matrices. Technometrics. 62(4). 443–446. 3 indexed citations
4.
Vogelstein, Joshua T, Eric Bridgeford, Benjamin D. Pedigo, et al.. (2019). Connectal coding: discovering the structures linking cognitive phenotypes to individual histories. Current Opinion in Neurobiology. 55. 199–212. 7 indexed citations
5.
Athreya, Avanti, Donniell E. Fishkind, Minh Tang, et al.. (2018). Statistical inference on random dot product graphs: a survey. Journal of Machine Learning Research. 18(226). 1–92. 47 indexed citations
6.
Levin, Keith, Avanti Athreya, Minh Tang, Vince Lyzinski, & Carey E. Priebe. (2017). A central limit theorem for an omnibus embedding of random dot product graphs. arXiv (Cornell University). 3 indexed citations
7.
Levin, Keith, Avanti Athreya, Minh Tang, Vince Lyzinski, & Carey E. Priebe. (2017). A Central Limit Theorem for an Omnibus Embedding of Multiple Random Dot Product Graphs. 964–967. 33 indexed citations
8.
Levin, Keith & Vince Lyzinski. (2016). Laplacian Eigenmaps From Sparse, Noisy Similarity Measurements. IEEE Transactions on Signal Processing. 65(8). 1988–2003. 9 indexed citations
9.
Braverman, Vladimir, Harry G. Lang, Keith Levin, & Morteza Monemizadeh. (2015). Clustering Problems on Sliding Windows. 1374–1390. 5 indexed citations
10.
Levin, Keith, Aren Jansen, & Benjamin Van Durme. (2015). Segmental acoustic indexing for zero resource keyword search. 5828–5832. 39 indexed citations
11.
Braverman, Vladimir, Harry G. Lang, Keith Levin, & Morteza Monemizadeh. (2015). Clustering on Sliding Windows in Polylogarithmic Space. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics).
12.
Levin, Keith, Katharine E. Henry, Aren Jansen, & Karen Livescu. (2013). Fixed-dimensional acoustic embeddings of variable-length segments in low-resource settings. 410–415. 70 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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