Natalie Perlin

946 total citations
19 papers, 616 citations indexed

About

Natalie Perlin is a scholar working on Oceanography, Global and Planetary Change and Atmospheric Science. According to data from OpenAlex, Natalie Perlin has authored 19 papers receiving a total of 616 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Oceanography, 15 papers in Global and Planetary Change and 8 papers in Atmospheric Science. Recurrent topics in Natalie Perlin's work include Oceanographic and Atmospheric Processes (13 papers), Climate variability and models (9 papers) and Meteorological Phenomena and Simulations (7 papers). Natalie Perlin is often cited by papers focused on Oceanographic and Atmospheric Processes (13 papers), Climate variability and models (9 papers) and Meteorological Phenomena and Simulations (7 papers). Natalie Perlin collaborates with scholars based in United States, Australia and Germany. Natalie Perlin's co-authors include Eric D. Skyllingstad, R. M. Samelson, Dudley B. Chelton, John C. Warner, Claire B. Paris, Steven A. Murawski, P. Michael Kosro, Philip L. Barbour, Ben P. Kirtman and Simon P. de Szoeke and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, PLoS ONE and Journal of Climate.

In The Last Decade

Natalie Perlin

19 papers receiving 600 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Natalie Perlin United States 13 397 351 242 80 75 19 616
P. Montero Spain 12 360 0.9× 119 0.3× 139 0.6× 132 1.6× 72 1.0× 21 507
Do‐Seong Byun South Korea 14 442 1.1× 190 0.5× 226 0.9× 23 0.3× 142 1.9× 68 640
Martina Tudor Croatia 13 424 1.1× 287 0.8× 342 1.4× 26 0.3× 47 0.6× 37 657
Bernhard Mayer Germany 13 316 0.8× 142 0.4× 146 0.6× 47 0.6× 77 1.0× 38 430
Siren Rühs Germany 14 385 1.0× 275 0.8× 239 1.0× 24 0.3× 57 0.8× 22 499
Arthur Capet Belgium 14 577 1.5× 221 0.6× 183 0.8× 21 0.3× 126 1.7× 30 695
Pekka Alenius Finland 14 325 0.8× 120 0.3× 126 0.5× 29 0.4× 50 0.7× 30 426
Jaromir Jakacki Poland 12 223 0.6× 130 0.4× 231 1.0× 42 0.5× 68 0.9× 39 502
Alan J. Elliott United Kingdom 10 410 1.0× 140 0.4× 200 0.8× 138 1.7× 98 1.3× 14 567
E. Durand France 5 577 1.5× 482 1.4× 390 1.6× 97 1.2× 23 0.3× 5 771

Countries citing papers authored by Natalie Perlin

Since Specialization
Citations

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

Fields of papers citing papers by Natalie Perlin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Natalie Perlin

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

All Works

19 of 19 papers shown
1.
Kamenkovich, Igor, et al.. (2023). Origins of mesoscale mixed-layer depth variability in the Southern Ocean. Ocean science. 19(3). 615–627. 2 indexed citations
2.
Schneider, Edwin K., Benjamín Kirtman, & Natalie Perlin. (2022). The Role of Atmospheric Noise in Decadal SST Variability. Journal of Climate. 36(7). 2147–2166. 2 indexed citations
3.
Kamenkovich, Igor, et al.. (2022). Oceanic Advection Controls Mesoscale Mixed Layer Heat Budget and Air–Sea Heat Exchange in the Southern Ocean. Journal of Physical Oceanography. 52(4). 537–555. 12 indexed citations
5.
Zhang, Wei, Ben P. Kirtman, Léo Siqueira, et al.. (2021). Decadal Variability of Southeast US Rainfall in an Eddying Global Coupled Model. Geophysical Research Letters. 49(1). 5 indexed citations
6.
Berenshtein, Igal, Claire B. Paris, Natalie Perlin, et al.. (2020). Invisible oil beyond the Deepwater Horizon satellite footprint. Science Advances. 6(7). eaaw8863–eaaw8863. 50 indexed citations
7.
Faillettaz, Robin, Claire B. Paris, Ana C. Vaz, et al.. (2020). The choice of droplet size probability distribution function for oil spill modeling is not trivial. Marine Pollution Bulletin. 163. 111920–111920. 5 indexed citations
8.
Ainsworth, Cameron H., et al.. (2020). The effect of the Deepwater Horizon oil spill on two ecosystem services in the Northern Gulf of Mexico. Environmental Modelling & Software. 133. 104793–104793. 16 indexed citations
9.
Perlin, Natalie, et al.. (2020). A study of mesoscale air–sea interaction in the Southern Ocean with a regional coupled model. Ocean Modelling. 153. 101660–101660. 12 indexed citations
10.
Berenshtein, Igal, Shay O’Farrell, Natalie Perlin, et al.. (2019). Predicting the impact of future oil-spill closures on fishery-dependent communities—a spatially explicit approach. ICES Journal of Marine Science. 7 indexed citations
11.
Ainsworth, Cameron H., Claire B. Paris, Natalie Perlin, et al.. (2018). Impacts of the Deepwater Horizon oil spill evaluated using an end-to-end ecosystem model. PLoS ONE. 13(1). e0190840–e0190840. 81 indexed citations
12.
Kirtman, Ben P., Natalie Perlin, & Léo Siqueira. (2017). Ocean eddies and climate predictability. Chaos An Interdisciplinary Journal of Nonlinear Science. 27(12). 126902–126902. 27 indexed citations
13.
Perlin, Natalie, Simon P. de Szoeke, Dudley B. Chelton, et al.. (2014). Modeling the Atmospheric Boundary Layer Wind Response to Mesoscale Sea Surface Temperature Perturbations. Monthly Weather Review. 142(11). 4284–4307. 57 indexed citations
14.
Perlin, Natalie, Eric D. Skyllingstad, & R. M. Samelson. (2010). Coastal Atmospheric Circulation around an Idealized Cape during Wind-Driven Upwelling Studied from a Coupled Ocean–Atmosphere Model. Monthly Weather Review. 139(3). 809–829. 24 indexed citations
15.
Warner, John C., Natalie Perlin, & Eric D. Skyllingstad. (2008). Using the Model Coupling Toolkit to couple earth system models. Environmental Modelling & Software. 23(10-11). 1240–1249. 88 indexed citations
16.
Perlin, Natalie, Eric D. Skyllingstad, R. M. Samelson, & Philip L. Barbour. (2007). Numerical Simulation of Air–Sea Coupling during Coastal Upwelling. Journal of Physical Oceanography. 37(8). 2081–2093. 56 indexed citations
17.
Bane, John M., M. D. Levine, R. M. Samelson, et al.. (2005). Atmospheric forcing of the Oregon coastal ocean during the 2001 upwelling season. Journal of Geophysical Research Atmospheres. 110(C10). 49 indexed citations
18.
Huyer, Adriana, Jane Fleischbein, Julie E. Keister, et al.. (2005). Two coastal upwelling domains in the northern California Current system. Journal of Marine Research. 63(5). 901–929. 64 indexed citations
19.
Perlin, Natalie, R. M. Samelson, & Dudley B. Chelton. (2004). Scatterometer and Model Wind and Wind Stress in the Oregon–Northern California Coastal Zone. Monthly Weather Review. 132(8). 2110–2129. 58 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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