Nathan Glatt-Holtz

1.1k total citations
28 papers, 547 citations indexed

About

Nathan Glatt-Holtz is a scholar working on Finance, Applied Mathematics and Computational Theory and Mathematics. According to data from OpenAlex, Nathan Glatt-Holtz has authored 28 papers receiving a total of 547 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Finance, 8 papers in Applied Mathematics and 7 papers in Computational Theory and Mathematics. Recurrent topics in Nathan Glatt-Holtz's work include Stochastic processes and financial applications (19 papers), Navier-Stokes equation solutions (8 papers) and Advanced Mathematical Modeling in Engineering (7 papers). Nathan Glatt-Holtz is often cited by papers focused on Stochastic processes and financial applications (19 papers), Navier-Stokes equation solutions (8 papers) and Advanced Mathematical Modeling in Engineering (7 papers). Nathan Glatt-Holtz collaborates with scholars based in United States, France and United Kingdom. Nathan Glatt-Holtz's co-authors include Roger Témam, Mohammed Ziane, Vlad Vicol, Arnaud Debussche, Igor Cialenco, Igor Kukavica, Enrique Thomann, Jonathan C. Mattingly, Jared P. Whitehead and Vladimír Šverák and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Computational Physics and Communications in Mathematical Physics.

In The Last Decade

Nathan Glatt-Holtz

24 papers receiving 511 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nathan Glatt-Holtz United States 13 351 214 174 173 129 28 547
Erika Hausenblas Austria 16 599 1.7× 224 1.0× 311 1.8× 178 1.0× 175 1.4× 60 782
T. Tachim Medjo United States 13 140 0.4× 243 1.1× 272 1.6× 196 1.1× 130 1.0× 104 565
Huaizhong Zhao United Kingdom 16 403 1.1× 130 0.6× 151 0.9× 234 1.4× 161 1.2× 49 641
Luciano Tubaro Italy 11 443 1.3× 131 0.6× 185 1.1× 128 0.7× 137 1.1× 33 625
N. Krylov United States 3 148 0.4× 268 1.3× 186 1.1× 65 0.4× 184 1.4× 3 529
Julien Vovelle France 14 187 0.5× 450 2.1× 149 0.9× 121 0.7× 184 1.4× 32 696
Annie Millet France 14 372 1.1× 109 0.5× 186 1.1× 101 0.6× 218 1.7× 34 508
Hakima Bessaih United States 13 247 0.7× 220 1.0× 122 0.7× 105 0.6× 116 0.9× 47 417
Charles-Édouard Bréhier France 11 248 0.7× 37 0.2× 114 0.7× 45 0.3× 75 0.6× 40 397
Alexey Cheskidov United States 16 85 0.2× 653 3.1× 117 0.7× 319 1.8× 343 2.7× 41 911

Countries citing papers authored by Nathan Glatt-Holtz

Since Specialization
Citations

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

Fields of papers citing papers by Nathan Glatt-Holtz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nathan Glatt-Holtz. 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 Nathan Glatt-Holtz. The network helps show where Nathan Glatt-Holtz may publish in the future.

Co-authorship network of co-authors of Nathan Glatt-Holtz

This figure shows the co-authorship network connecting the top 25 collaborators of Nathan Glatt-Holtz. A scholar is included among the top collaborators of Nathan Glatt-Holtz 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 Nathan Glatt-Holtz. Nathan Glatt-Holtz 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.
Glatt-Holtz, Nathan, et al.. (2024). On the surprising effectiveness of a simple matrix exponential derivative approximation, with application to global SARS-CoV-2. Proceedings of the National Academy of Sciences. 121(3). e2318989121–e2318989121. 3 indexed citations
2.
Glatt-Holtz, Nathan, et al.. (2024). Parallel MCMC algorithms: theoretical foundations, algorithm design, case studies. PubMed. 8(2). 3 indexed citations
3.
Glatt-Holtz, Nathan, et al.. (2024). Long-term accuracy of numerical approximations of SPDEs with the stochastic Navier–Stokes equations as a paradigm. IMA Journal of Numerical Analysis. 45(3). 1648–1742.
4.
Borggaard, Jeff, et al.. (2023). A statistical framework for domain shape estimation in Stokes flows. Inverse Problems. 39(8). 85009–85009. 2 indexed citations
5.
Glatt-Holtz, Nathan, et al.. (2023). On the accept–reject mechanism for Metropolis–Hastings algorithms. The Annals of Applied Probability. 33(6B). 2 indexed citations
6.
Whitehead, Jared P., Ron Harris, Nathan Glatt-Holtz, et al.. (2021). Methodological Reconstruction of Historical Seismic Events From Anecdotal Accounts of Destructive Tsunamis: A Case Study for the Great 1852 Banda Arc Mega‐Thrust Earthquake and Tsunami. Journal of Geophysical Research Solid Earth. 126(4). 4 indexed citations
7.
Borggaard, Jeff, et al.. (2019). GPU-accelerated particle methods for evaluation of sparse observations for inverse problems constrained by diffusion PDEs. Journal of Computational Physics. 391. 142–154. 1 indexed citations
8.
Zelati, Michele Coti, Nathan Glatt-Holtz, & Konstantina Trivisa. (2019). Invariant measures for the stochastic one-dimensional compressible navier–stokes equations. PubMed Central.
9.
Glatt-Holtz, Nathan, et al.. (2019). Data Assimilation In Large Prandtl Rayleigh-benard Convection From Thermal Measurements. arXiv (Cornell University). 29 indexed citations
10.
Glatt-Holtz, Nathan, et al.. (2017). Time discrete approximation of weak solutions to stochastic equations of geophysical fluid dynamics and applications. Chinese Annals of Mathematics Series B. 38(2). 425–472. 7 indexed citations
11.
Glatt-Holtz, Nathan, et al.. (2016). On Unique Ergodicity in Nonlinear Stochastic Partial Differential Equations. Journal of Statistical Physics. 166(3-4). 618–649. 20 indexed citations
12.
Bedrossian, Jacob, Michele Coti Zelati, & Nathan Glatt-Holtz. (2016). Invariant Measures for Passive Scalars in the Small Noise Inviscid Limit. Communications in Mathematical Physics. 348(1). 101–127. 12 indexed citations
13.
Glatt-Holtz, Nathan, et al.. (2015). Ergodic and mixing properties of the Boussinesq equations with a degenerate random forcing. Journal of Functional Analysis. 269(8). 2427–2504. 28 indexed citations
14.
Glatt-Holtz, Nathan, Vladimír Šverák, & Vlad Vicol. (2015). On Inviscid Limits for the Stochastic Navier–Stokes Equations and Related Models. Archive for Rational Mechanics and Analysis. 217(2). 619–649. 18 indexed citations
15.
Friedlander, Susan, Nathan Glatt-Holtz, & Vlad Vicol. (2014). Inviscid Limits for a Stochastically Forced Shell Model of Turbulent Flow. 7 indexed citations
16.
Glatt-Holtz, Nathan, et al.. (2014). Existence and Regularity of Invariant Measures for the Three Dimensional Stochastic Primitive Equations. Journal of Mathematical Physics. 55(5). 34 indexed citations
17.
Glatt-Holtz, Nathan & Vlad Vicol. (2014). Local and global existence of smooth solutions for the stochastic Euler equations with multiplicative noise. The Annals of Probability. 42(1). 77 indexed citations
18.
Debussche, Arnaud, Nathan Glatt-Holtz, Roger Témam, & Mohammed Ziane. (2012). Global existence and regularity for the 3D stochastic primitive equations of the ocean and atmosphere with multiplicative white noise. Nonlinearity. 25(7). 2093–2118. 38 indexed citations
19.
Glatt-Holtz, Nathan & Roger Témam. (2011). Cauchy convergence schemes for some nonlinear partial differential equations. Applicable Analysis. 90(1). 85–102. 9 indexed citations
20.
Cialenco, Igor & Nathan Glatt-Holtz. (2010). Parameter estimation for the stochastically perturbed Navier–Stokes equations. Stochastic Processes and their Applications. 121(4). 701–724. 22 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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