Samuel N. Stechmann

2.4k total citations
86 papers, 1.8k citations indexed

About

Samuel N. Stechmann is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Samuel N. Stechmann has authored 86 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Atmospheric Science, 65 papers in Global and Planetary Change and 21 papers in Oceanography. Recurrent topics in Samuel N. Stechmann's work include Climate variability and models (57 papers), Meteorological Phenomena and Simulations (56 papers) and Tropical and Extratropical Cyclones Research (30 papers). Samuel N. Stechmann is often cited by papers focused on Climate variability and models (57 papers), Meteorological Phenomena and Simulations (56 papers) and Tropical and Extratropical Cyclones Research (30 papers). Samuel N. Stechmann collaborates with scholars based in United States, Canada and Australia. Samuel N. Stechmann's co-authors include Andrew J. Majda, J. David Neelin, Leslie Smith, Boualem Khouider, Ahren W. Jasper, Donald G. Truhlar, Sulian Thual, Nan Chen, Sandeep Sahany and Ying Li and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Chemical Physics and SHILAP Revista de lepidopterología.

In The Last Decade

Samuel N. Stechmann

82 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Samuel N. Stechmann United States 24 1.4k 1.4k 445 140 115 86 1.8k
Boualem Khouider Canada 28 2.1k 1.5× 2.1k 1.5× 530 1.2× 13 0.1× 114 1.0× 81 2.4k
Jarle Berntsen Norway 19 371 0.3× 389 0.3× 714 1.6× 61 0.4× 92 0.8× 46 1.2k
Vladimir Zeitlin France 23 547 0.4× 1.0k 0.7× 906 2.0× 18 0.1× 269 2.3× 92 1.5k
Joseph A. Biello United States 14 622 0.5× 624 0.5× 229 0.5× 10 0.1× 58 0.5× 29 818
Christiane Jablonowski United States 28 1.3k 0.9× 1.7k 1.2× 342 0.8× 13 0.1× 499 4.3× 68 2.0k
Maarten H. P. Ambaum United Kingdom 22 1.6k 1.2× 1.6k 1.1× 644 1.4× 13 0.1× 101 0.9× 64 2.1k
Leonid I. Piterbarg United States 18 348 0.3× 390 0.3× 595 1.3× 12 0.1× 98 0.9× 49 900
Jorgen S. Frederiksen Australia 30 2.2k 1.6× 2.2k 1.6× 967 2.2× 39 0.3× 491 4.3× 153 2.8k
M. T. Chahine United States 14 1.9k 1.4× 2.1k 1.5× 145 0.3× 35 0.3× 118 1.0× 36 2.6k
Г. М. Резник Russia 16 229 0.2× 440 0.3× 672 1.5× 32 0.2× 165 1.4× 46 922

Countries citing papers authored by Samuel N. Stechmann

Since Specialization
Citations

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

Fields of papers citing papers by Samuel N. Stechmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Samuel N. Stechmann. 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 Samuel N. Stechmann. The network helps show where Samuel N. Stechmann may publish in the future.

Co-authorship network of co-authors of Samuel N. Stechmann

This figure shows the co-authorship network connecting the top 25 collaborators of Samuel N. Stechmann. A scholar is included among the top collaborators of Samuel N. Stechmann 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 Samuel N. Stechmann. Samuel N. Stechmann 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.
Smith, Leslie, et al.. (2025). Data assimilation errors due to incomplete accounting of balanced versus unbalanced moisture. Quarterly Journal of the Royal Meteorological Society. 151(769).
2.
Stechmann, Samuel N., et al.. (2025). Simulation and data assimilation in an idealized coupled atmosphere–ocean–sea ice floe model with cloud effects. Nonlinear processes in geophysics. 32(3). 329–351.
3.
Deng, Quanling, et al.. (2025). LEMDA: A Lagrangian‐Eulerian Multiscale Data Assimilation Framework. Journal of Advances in Modeling Earth Systems. 17(2). 2 indexed citations
4.
Smith, Leslie, et al.. (2024). A Nonlinear Elliptic PDE from Atmospheric Science: Well-Posedness and Regularity at Cloud Edge. Journal of Mathematical Fluid Mechanics. 26(2). 1 indexed citations
5.
Li, Qin, et al.. (2024). Estimating the time-evolving refractivity of a turbulent medium using optical beam measurements: a data assimilation approach. Journal of the Optical Society of America A. 41(6). B73–B73.
6.
Stechmann, Samuel N., et al.. (2023). Rain process models and convergence to point processes. Nonlinear processes in geophysics. 30(1). 85–100. 2 indexed citations
7.
Stechmann, Samuel N., et al.. (2023). Inverse radiative transfer with goal-oriented hp-adaptive mesh refinement: adaptive-mesh inversion. Inverse Problems. 39(11). 115002–115002. 1 indexed citations
8.
Smith, Leslie, et al.. (2022). Conservation laws for potential vorticity in a salty ocean or cloudy atmosphere. arXiv (Cornell University). 2 indexed citations
9.
Smith, Leslie, et al.. (2022). Convergence to precipitating quasi-geostrophic equations with phase changes: asymptotics and numerical assessment. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 380(2226). 20210030–20210030. 4 indexed citations
10.
Edwards, Thomas K., et al.. (2021). Initial investigations of precipitating quasi-geostrophic turbulence with phase changes. Research in the Mathematical Sciences. 8(1). 8 indexed citations
11.
Giannakis, Dimitrios, et al.. (2020). Super-parameterization of Lagrangian sea ice dynamics using the Boltzmann equation. AGU Fall Meeting Abstracts. 2020.
12.
Stechmann, Samuel N., et al.. (2019). Singular Spectrum Analysis With Conditional Predictions for Real‐Time State Estimation and Forecasting. Geophysical Research Letters. 46(3). 1851–1860. 10 indexed citations
13.
Stechmann, Samuel N., et al.. (2019). Instability and nonlinear dynamics of the MJO in a tropical channel model with vertically varying convective adjustment. Theoretical and Computational Fluid Dynamics. 33(3-4). 307–323. 3 indexed citations
14.
Majda, Andrew J., et al.. (2019). Tropical Intraseasonal Variability and the Stochastic Skeleton Method. CERN Document Server (European Organization for Nuclear Research). 2 indexed citations
15.
Stechmann, Samuel N., et al.. (2014). The Walker circulation, diabatic heating, and outgoing longwave radiation. AGU Fall Meeting Abstracts. 2014. 28 indexed citations
16.
Thual, Sulian, Andrew J. Majda, & Samuel N. Stechmann. (2014). Asymmetric intraseasonal events in the stochastic skeleton MJO model with seasonal cycle. Climate Dynamics. 45(3-4). 603–618. 20 indexed citations
17.
Smith, Leslie, et al.. (2014). Investigation of Boussinesq dynamics using intermediate models based on wave–vortical interactions. Journal of Fluid Mechanics. 747. 247–287. 15 indexed citations
18.
Stechmann, Samuel N., et al.. (2012). Convectively coupled wave–environment interactions. Theoretical and Computational Fluid Dynamics. 27(3-4). 513–532. 13 indexed citations
19.
Stechmann, Samuel N.. (2008). Models of convectively coupled waves in the tropical atmosphere. PhDT. 1 indexed citations
20.
Jasper, Ahren W., Samuel N. Stechmann, & Donald G. Truhlar. (2002). Fewest-switches with time uncertainty: A modified trajectory surface-hopping algorithm with better accuracy for classically forbidden electronic transitions. The Journal of Chemical Physics. 116(13). 5424–5431. 136 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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