Meta Sienkiewicz

15.7k total citations · 1 hit paper
14 papers, 1.2k citations indexed

About

Meta Sienkiewicz is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Meta Sienkiewicz has authored 14 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Atmospheric Science, 9 papers in Global and Planetary Change and 6 papers in Oceanography. Recurrent topics in Meta Sienkiewicz's work include Meteorological Phenomena and Simulations (12 papers), Climate variability and models (8 papers) and Atmospheric and Environmental Gas Dynamics (6 papers). Meta Sienkiewicz is often cited by papers focused on Meteorological Phenomena and Simulations (12 papers), Climate variability and models (8 papers) and Atmospheric and Environmental Gas Dynamics (6 papers). Meta Sienkiewicz collaborates with scholars based in United States and India. Meta Sienkiewicz's co-authors include Max J. Suárez, Ivanka Štajner, Ricardo Todling, Jing Guo, Ronald Gelaro, Randal D. Koster, David Lamich, Lawrence L. Takacs, Wei Gu and Michele M. Rienecker and has published in prestigious journals such as Monthly Weather Review, Quarterly Journal of the Royal Meteorological Society and Journal of Atmospheric and Oceanic Technology.

In The Last Decade

Meta Sienkiewicz

14 papers receiving 1.1k citations

Hit Papers

The GEOS-5 Data Assimilation System-Documentation of Vers... 2008 2026 2014 2020 2008 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The GEOS-5 Data Assimilation System-Documentation of Versions 5.0.1, 5.1.0, and 5.2.0
    2008 519 citations Max J. Suárez, Michele M. Rienecker et al. NASA Technical Reports Server (NASA) profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Meta Sienkiewicz United States 8 995 936 148 100 87 14 1.2k
Terry Davies United Kingdom 9 1.2k 1.2× 1.1k 1.1× 196 1.3× 157 1.6× 60 0.7× 15 1.4k
Bruce Macpherson United Kingdom 14 953 1.0× 806 0.9× 171 1.2× 219 2.2× 109 1.3× 22 1.1k
Sylvie Malardel France 13 1.1k 1.1× 980 1.0× 214 1.4× 249 2.5× 58 0.7× 25 1.3k
Yongguang Zheng China 19 868 0.9× 721 0.8× 57 0.4× 166 1.7× 56 0.6× 54 1.0k
Zhengzhao Luo United States 23 1.5k 1.5× 1.4k 1.5× 78 0.5× 57 0.6× 64 0.7× 48 1.7k
Laurence J. Wilson Canada 16 934 0.9× 847 0.9× 172 1.2× 193 1.9× 28 0.3× 26 1.2k
Bernard Chapnik France 9 848 0.9× 773 0.8× 254 1.7× 172 1.7× 93 1.1× 9 1.0k
Daniel Reinert Germany 9 781 0.8× 670 0.7× 88 0.6× 101 1.0× 80 0.9× 15 901
Frederick H. Carr United States 16 1.2k 1.2× 1.1k 1.1× 105 0.7× 315 3.1× 51 0.6× 32 1.4k
Almut Gaßmann Germany 11 850 0.9× 707 0.8× 176 1.2× 117 1.2× 43 0.5× 20 1.1k

Countries citing papers authored by Meta Sienkiewicz

Since Specialization
Citations

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

Fields of papers citing papers by Meta Sienkiewicz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meta Sienkiewicz

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

All Works

14 of 14 papers shown
1.
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
2.
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
3.
Koster, Randal D., Ronald M. Errico, Nikki C. Privé, et al.. (2017). Description of the GMAO OSSE for Weather Analysis Software Package: Version 3. NASA Technical Reports Server (NASA). 8 indexed citations
4.
Achuthavarier, Deepthi, Hailan Wang, Siegfried D. Schubert, & Meta Sienkiewicz. (2016). Impact of DYNAMO observations on NASA GEOS‐5 reanalyses and the representation of MJO initiation. Journal of Geophysical Research Atmospheres. 122(1). 179–201. 4 indexed citations
5.
Koster, Randal D., Will McCarty, Lawrence Coy, et al.. (2016). MERRA-2 Input Observations: Summary and Assessment. NASA Technical Reports Server (NASA). 74 indexed citations
6.
Errico, Ronald M., Runhua Yang, Nikki C. Privé, et al.. (2012). Development and validation of observing‐system simulation experiments at NASA's Global Modeling and Assimilation Office. Quarterly Journal of the Royal Meteorological Society. 139(674). 1162–1178. 100 indexed citations
7.
Liu, Emily, et al.. (2011). Assessing the Impact of Advanced Satellite Observations in the NASA GEOS-5 Forecast System Using the Adjoint Method. NASA STI Repository (National Aeronautics and Space Administration). 1 indexed citations
8.
Suárez, Max J., Michele M. Rienecker, Ricardo Todling, et al.. (2008). The GEOS-5 Data Assimilation System-Documentation of Versions 5.0.1, 5.1.0, and 5.2.0. NASA Technical Reports Server (NASA). 519 indexed citations breakdown →
9.
Suárez, Max J., Dick Dee, Stephen R. Bloom, et al.. (2005). Documentation and Validation of the Goddard Earth Observing System (GEOS) Data Assimilation System, Version 4. NASA Technical Reports Server (NASA). 104606. 198 indexed citations
10.
11.
Cohn, Stephen E., Arlindo da Silva, Jing Guo, Meta Sienkiewicz, & David Lamich. (1998). Assessing the Effects of Data Selection with the DAO Physical-Space Statistical Analysis System*. Monthly Weather Review. 126(11). 2913–2926. 205 indexed citations
12.
Rood, Richard B., S. Schubert, William Sawyer, et al.. (1997). Parallel computing at the NASA Data Assimilation Office (DAO). 1–18. 7 indexed citations
13.
Suárez, Max J., et al.. (1995). Technical report series on global modeling and data assimilation. Volume 4: Documentation of the Goddard Earth Observing System (GEOS) data assimilation system, version 1. Unknow. 4. 36 indexed citations
14.
Sienkiewicz, Meta, et al.. (1980). AVE-SESAME IV: 25 mb sounding data. 1 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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