M. Suarez

881 total citations
11 papers, 549 citations indexed

About

M. Suarez is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, M. Suarez has authored 11 papers receiving a total of 549 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Atmospheric Science, 8 papers in Global and Planetary Change and 3 papers in Oceanography. Recurrent topics in M. Suarez's work include Meteorological Phenomena and Simulations (8 papers), Climate variability and models (6 papers) and Atmospheric and Environmental Gas Dynamics (3 papers). M. Suarez is often cited by papers focused on Meteorological Phenomena and Simulations (8 papers), Climate variability and models (6 papers) and Atmospheric and Environmental Gas Dynamics (3 papers). M. Suarez collaborates with scholars based in United States. M. Suarez's co-authors include Balaji Balaji, Arlindo da Silva, Chris Hill, Cecelia DeLuca, M. G. Bosilovich, Siegfried D. Schubert, Arun Kumar, Philip Pegion, Ming‐Dah Chou and Lawrence L. Takacs and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Journal of Climate and Computing in Science & Engineering.

In The Last Decade

M. Suarez

10 papers receiving 530 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Suarez United States 7 324 323 114 70 68 11 549
Cecelia DeLuca United States 10 307 0.9× 313 1.0× 129 1.1× 140 2.0× 155 2.3× 19 778
Bryan Lawrence United Kingdom 22 828 2.6× 858 2.7× 136 1.2× 49 0.7× 103 1.5× 96 1.4k
Niels Drost Netherlands 13 298 0.9× 145 0.4× 100 0.9× 329 4.7× 174 2.6× 39 884
R. Drach United States 5 735 2.3× 696 2.2× 129 1.1× 47 0.7× 77 1.1× 12 902
Christopher Kadow Germany 14 533 1.6× 528 1.6× 156 1.4× 27 0.4× 17 0.3× 29 751
Everest Ong United States 5 269 0.8× 436 1.3× 259 2.3× 17 0.2× 113 1.7× 8 659
Sophie Valcke France 16 975 3.0× 1.0k 3.2× 537 4.7× 98 1.4× 93 1.4× 37 1.4k
Manil Maskey United States 9 174 0.5× 247 0.8× 101 0.9× 7 0.1× 33 0.5× 72 470
Michael N. Levy United States 13 316 1.0× 333 1.0× 217 1.9× 12 0.2× 59 0.9× 23 699
C. A. Mattmann United States 11 166 0.5× 395 1.2× 17 0.1× 143 2.0× 235 3.5× 41 839

Countries citing papers authored by M. Suarez

Since Specialization
Citations

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

Fields of papers citing papers by M. Suarez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Suarez

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

All Works

11 of 11 papers shown
1.
Bosilovich, M. G., et al.. (2015). MERRA-2: File Specification. 110 indexed citations
2.
Gelaro, Ronald, et al.. (2014). The NASA Modern Era Reanalysis for Research and Applications, Version-2 (MERRA-2). AGUFM. 2014. 2 indexed citations
3.
Rienecker, Michele M., M. Suarez, David Adamec, et al.. (2013). The NASA Seasonal-To-Interannual Prediction Project (Nsipp): Annual Report for 2000. NASA Technical Reports Server (NASA).
4.
Chang, Yehui, Siegfried D. Schubert, & M. Suarez. (2011). Attribution of the Extreme U.S. East Coast Snowstorm Activity of 2010. Journal of Climate. 25(11). 3771–3791. 4 indexed citations
5.
Rienecker, Michele M., M. Suarez, Randal D. Koster, et al.. (2006). Improving Short-term Climate Forecasts with Satellite Observations. 123. 3498–3501. 1 indexed citations
6.
Hill, Chris, Cecelia DeLuca, Balaji Balaji, M. Suarez, & Arlindo da Silva. (2004). The architecture of the Earth System Modeling Framework. Computing in Science & Engineering. 6(1). 18–28. 344 indexed citations
7.
Schubert, Siegfried D., M. Suarez, & Philip Pegion. (2003). On the Causes of the 1930s Dust Bowl. NASA Technical Reports Server (NASA). 23 indexed citations
8.
Kumar, Arun, Siegfried D. Schubert, & M. Suarez. (2003). Variability and predictability of 200‐mb seasonal mean heights during summer and winter. Journal of Geophysical Research Atmospheres. 108(D5). 38 indexed citations
9.
Schubert, Siegfried D., et al.. (2002). Prospects for Improved Forecasts of Weather and Short-Term Climate Variability on Subseasonal (2-Week to 2-Month) Times Scales. NASA STI/Recon Technical Report N. 3. 17776. 11 indexed citations
10.
Fox‐Rabinovitz, Michael S., Lawrence L. Takacs, M. Suarez, William Sawyer, & Ravi Govindaraju. (1999). Regional Climate Simulation with a Variable Resolution Stretched Grid GCM: The Regional Down-Scaling Effects. NASA Technical Reports Server (NASA). 8 indexed citations
11.
Ho, Chang‐Hoi, et al.. (1998). Comparison of model‐calculated and ERBE‐retrieved clear‐sky outgoing longwave radiation. Journal of Geophysical Research Atmospheres. 103(D10). 11529–11536. 8 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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