Nikki C. Privé

864 total citations
37 papers, 628 citations indexed

About

Nikki C. Privé is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Nikki C. Privé has authored 37 papers receiving a total of 628 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Atmospheric Science, 27 papers in Global and Planetary Change and 6 papers in Oceanography. Recurrent topics in Nikki C. Privé's work include Meteorological Phenomena and Simulations (31 papers), Climate variability and models (24 papers) and Atmospheric and Environmental Gas Dynamics (12 papers). Nikki C. Privé is often cited by papers focused on Meteorological Phenomena and Simulations (31 papers), Climate variability and models (24 papers) and Atmospheric and Environmental Gas Dynamics (12 papers). Nikki C. Privé collaborates with scholars based in United States, Austria and Germany. Nikki C. Privé's co-authors include R. Alan Plumb, Ronald M. Errico, Ricardo Todling, Meta Sienkiewicz, Jing Guo, Runhua Yang, Will McCarty, Isaac Moradi, David Carvalho and Steven E. Koch and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the Atmospheric Sciences and Monthly Weather Review.

In The Last Decade

Nikki C. Privé

33 papers receiving 609 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nikki C. Privé United States 13 528 473 149 44 42 37 628
Mikiko Fujita Japan 12 418 0.8× 373 0.8× 169 1.1× 56 1.3× 63 1.5× 41 567
Jørn Kristiansen Norway 8 330 0.6× 273 0.6× 82 0.6× 37 0.8× 23 0.5× 17 442
Michiko Masutani United States 12 784 1.5× 788 1.7× 237 1.6× 18 0.4× 23 0.5× 19 889
Beatriz Navascués Spain 9 306 0.6× 274 0.6× 105 0.7× 59 1.3× 74 1.8× 22 409
Alison Stirling United Kingdom 13 569 1.1× 605 1.3× 53 0.4× 30 0.7× 10 0.2× 31 677
G. G. Campbell United States 11 430 0.8× 387 0.8× 99 0.7× 40 0.9× 60 1.4× 28 564
Gregory S. Elsaesser United States 18 810 1.5× 751 1.6× 95 0.6× 8 0.2× 20 0.5× 49 899
Lina Bai China 7 482 0.9× 310 0.7× 222 1.5× 25 0.6× 12 0.3× 22 560
Thomas Schwitalla Germany 16 557 1.1× 544 1.2× 55 0.4× 29 0.7× 41 1.0× 39 669
B. Denis Canada 15 960 1.8× 915 1.9× 80 0.5× 8 0.2× 18 0.4× 18 1.0k

Countries citing papers authored by Nikki C. Privé

Since Specialization
Citations

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

Fields of papers citing papers by Nikki C. Privé

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nikki C. Privé. 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 Nikki C. Privé. The network helps show where Nikki C. Privé may publish in the future.

Co-authorship network of co-authors of Nikki C. Privé

This figure shows the co-authorship network connecting the top 25 collaborators of Nikki C. Privé. A scholar is included among the top collaborators of Nikki C. Privé 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 Nikki C. Privé. Nikki C. Privé 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.
Dance, Sarah L., Alison Fowler, David Simonin, et al.. (2025). On methods for assessment of the value of observations in convection‐permitting data assimilation and numerical weather forecasting. Quarterly Journal of the Royal Meteorological Society. 151(768). 1 indexed citations
2.
3.
Privé, Nikki C., et al.. (2024). Impacts of an Early Morning Low Earth Orbit Observing Platform in a Future Global Observing Network Scenario. Tellus A Dynamic Meteorology and Oceanography. 76(1). 227–249.
4.
McGrath‐Spangler, E. L., et al.. (2024). Using OSSEs to Evaluate GXS Impact in the Context of International Coordination. Journal of Atmospheric and Oceanic Technology. 41(3). 261–278. 2 indexed citations
5.
6.
Privé, Nikki C., Matthew McLinden, Bing Lin, et al.. (2023). Impacts of Marine Surface Pressure Observations from a Spaceborne Differential Absorption Radar Investigated with an Observing System Simulation Experiment. Journal of Atmospheric and Oceanic Technology. 40(8). 897–918. 4 indexed citations
7.
Lin, Bing, Gerald M. Heymsfield, Yongxiang Hu, et al.. (2023). Simulations of sea surface reflection for V-band O2 differential absorption radar barometry. SHILAP Revista de lepidopterología. 4. 2 indexed citations
8.
Privé, Nikki C., et al.. (2023). The GMAO Hybrid 4D-EnVar Observing System Simulation Experiment Framework. Monthly Weather Review. 151(7). 1717–1734. 7 indexed citations
9.
Privé, Nikki C., et al.. (2023). Robustness of Observing System Simulation Experiments. Tellus A Dynamic Meteorology and Oceanography. 75(1). 309–333. 2 indexed citations
10.
McGrath‐Spangler, E. L., et al.. (2022). Using OSSEs to Evaluate the Impacts of Geostationary Infrared Sounders. Journal of Atmospheric and Oceanic Technology. 39(12). 1903–1918. 8 indexed citations
11.
Privé, Nikki C., Ronald M. Errico, & Will McCarty. (2021). The importance of simulated errors in observing system simulation experiments. Tellus A Dynamic Meteorology and Oceanography. 73(1). 1886795–1886795. 11 indexed citations
12.
Errico, Ronald M., David Carvalho, Nikki C. Privé, & Meta Sienkiewicz. (2020). Simulation of Atmospheric Motion Vectors for an Observing System Simulation Experiment. Journal of Atmospheric and Oceanic Technology. 37(3). 489–505. 12 indexed citations
13.
Hoffman, Ross N., Nikki C. Privé, & Mark A. Bourassa. (2017). Comments on “Reanalyses and Observations: What’s the Difference?”. Bulletin of the American Meteorological Society. 98(11). 2455–2459. 7 indexed citations
14.
Privé, Nikki C. & Ronald M. Errico. (2016). Observing System Simulation Experiments: An Overview. NASA STI Repository (National Aeronautics and Space Administration). 4 indexed citations
15.
Privé, Nikki C. & Ronald M. Errico. (2015). Spectral analysis of forecast error investigated with an observing system simulation experiment. Tellus A Dynamic Meteorology and Oceanography. 67(1). 25977–25977. 8 indexed citations
16.
Privé, Nikki C. & Ronald M. Errico. (2015). Temporal and Spatial Interpolation Errors of High-Resolution Modeled Atmospheric Fields. Journal of Atmospheric and Oceanic Technology. 33(2). 303–311. 7 indexed citations
17.
Privé, Nikki C., et al.. (2014). The Impact of Increased Frequency of Rawinsonde Observations on Forecast Skill Investigated with an Observing System Simulation Experiment. Monthly Weather Review. 142(5). 1823–1834. 14 indexed citations
18.
Errico, Ronald M. & Nikki C. Privé. (2013). An estimate of some analysis‐error statistics using the Global Modeling and Assimilation Office observing‐system simulation framework. Quarterly Journal of the Royal Meteorological Society. 140(680). 1005–1012. 13 indexed citations
19.
Privé, Nikki C., et al.. (2013). The influence of observation errors on analysis error and forecast skill investigated with an observing system simulation experiment. Journal of Geophysical Research Atmospheres. 118(11). 5332–5346. 22 indexed citations
20.
Yang, Jiann C., et al.. (2001). An apparatus for screening fire suppression efficiency of dispersed liquid agents. Fire Safety Journal. 36(1). 55–72. 7 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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