Mark T. Stoelinga

2.3k total citations
47 papers, 1.6k citations indexed

About

Mark T. Stoelinga is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Mark T. Stoelinga has authored 47 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Atmospheric Science, 39 papers in Global and Planetary Change and 5 papers in Oceanography. Recurrent topics in Mark T. Stoelinga's work include Meteorological Phenomena and Simulations (34 papers), Climate variability and models (27 papers) and Tropical and Extratropical Cyclones Research (23 papers). Mark T. Stoelinga is often cited by papers focused on Meteorological Phenomena and Simulations (34 papers), Climate variability and models (27 papers) and Tropical and Extratropical Cyclones Research (23 papers). Mark T. Stoelinga collaborates with scholars based in United States. Mark T. Stoelinga's co-authors include John D. Locatelli, Peter V. Hobbs, Ying‐Hwa Kuo, Christopher P. Woods, Thomas T. Warner, Christopher A. Davis, Clifford F. Mass, Richard J. Reed, Brian A. Colle and John M. Wallace and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Journal of Climate and Geophysical Research Letters.

In The Last Decade

Mark T. Stoelinga

47 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark T. Stoelinga United States 22 1.5k 1.4k 168 137 78 47 1.6k
Ben Jong‐Dao Jou Taiwan 22 1.1k 0.7× 778 0.6× 234 1.4× 168 1.2× 32 0.4× 59 1.2k
David A. Rutan United States 18 1.6k 1.1× 1.9k 1.4× 151 0.9× 98 0.7× 88 1.1× 57 2.0k
A. Beljaars United Kingdom 15 1.4k 0.9× 1.4k 1.0× 241 1.4× 230 1.7× 32 0.4× 19 1.6k
Didier Ricard France 17 1.2k 0.8× 1.2k 0.9× 149 0.9× 127 0.9× 60 0.8× 33 1.4k
R. N. B. Smith United Kingdom 11 1.8k 1.2× 1.8k 1.3× 232 1.4× 206 1.5× 31 0.4× 13 2.0k
Qingyun Zhao United States 14 1.2k 0.8× 1.1k 0.8× 119 0.7× 133 1.0× 84 1.1× 31 1.3k
David E. Kingsmill United States 28 2.4k 1.6× 1.8k 1.3× 193 1.1× 329 2.4× 80 1.0× 54 2.6k
Shinji Kadokura Japan 9 1.5k 1.0× 1.4k 1.1× 419 2.5× 85 0.6× 58 0.7× 19 1.7k
Dominique Bouniol France 24 1.5k 1.0× 1.5k 1.1× 95 0.6× 86 0.6× 65 0.8× 53 1.6k
Sun Wong United States 23 1.1k 0.7× 1.1k 0.8× 147 0.9× 47 0.3× 43 0.6× 51 1.3k

Countries citing papers authored by Mark T. Stoelinga

Since Specialization
Citations

This map shows the geographic impact of Mark T. Stoelinga'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 Mark T. Stoelinga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark T. Stoelinga more than expected).

Fields of papers citing papers by Mark T. Stoelinga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark T. Stoelinga. 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 Mark T. Stoelinga. The network helps show where Mark T. Stoelinga may publish in the future.

Co-authorship network of co-authors of Mark T. Stoelinga

This figure shows the co-authorship network connecting the top 25 collaborators of Mark T. Stoelinga. A scholar is included among the top collaborators of Mark T. Stoelinga 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 Mark T. Stoelinga. Mark T. Stoelinga 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.
Banta, Robert M., Yelena L. Pichugina, Lisa S. Darby, et al.. (2021). Doppler-Lidar Evaluation of HRRR-Model Skill at Simulating Summertime Wind Regimes in the Columbia River Basin during WFIP2. Weather and Forecasting. 5 indexed citations
2.
Bianco, Laura, Irina V. Djalalova, James M. Wilczak, et al.. (2019). Impact of model improvements on 80 m wind speeds during the second Wind Forecast Improvement Project (WFIP2). Geoscientific model development. 12(11). 4803–4821. 25 indexed citations
3.
Stoelinga, Mark T.. (2013). Downscaling global reanalyses with WRF for wind energy resource assessment. 1 indexed citations
4.
Smoliak, Brian V., John M. Wallace, Mark T. Stoelinga, & Todd P. Mitchell. (2010). Application of partial least squares regression to the diagnosis of year‐to‐year variations in Pacific Northwest snowpack and Atlantic hurricanes. Geophysical Research Letters. 37(3). 46 indexed citations
5.
Stoelinga, Mark T., Mark D. Albright, & Clifford F. Mass. (2009). A New Look at Snowpack Trends in the Cascade Mountains. Journal of Climate. 23(10). 2473–2491. 33 indexed citations
6.
Stoelinga, Mark T., et al.. (2008). EVALUATING THE IMPORTANCE OF CRYSTAL-TYPE ON NEW SNOW INSTABILITY: A STRENGTH VS. STRESS APPROACH USING THE SNOSS MODEL. 612. 2 indexed citations
7.
Woods, Christopher P., John D. Locatelli, & Mark T. Stoelinga. (2008). The IMPROVE-1 Storm of 1–2 February 2001. Part IV: Precipitation Enhancement across the Melting Layer. Journal of the Atmospheric Sciences. 65(3). 1087–1092. 4 indexed citations
8.
Koch, Steven E., et al.. (2005). THE USE OF SIMULATED RADAR REFLECTIVITY FIELDS IN THE DIAGNOSIS OF MESOSCALE PHENOMENA FROM HIGH-RESOLUTION WRF MODEL FORECASTS. 46 indexed citations
9.
Locatelli, John D., et al.. (2005). The IMPROVE-1 Storm of 1–2 February 2001. Part II: Cloud Structures and the Growth of Precipitation. Journal of the Atmospheric Sciences. 62(10). 3456–3473. 37 indexed citations
10.
Garvert, Matthew F., Christopher P. Woods, Brian A. Colle, et al.. (2005). The 13–14 December 2001 IMPROVE-2 Event. Part II: Comparisons of MM5 Model Simulations of Clouds and Precipitation with Observations. Journal of the Atmospheric Sciences. 62(10). 3520–3534. 64 indexed citations
11.
Hobbs, Peter V., et al.. (2004). A 10-Yr Climatology Relating the Locations of Reported Tornadoes to the Quadrants of Upper-Level Jet Streaks. Weather and Forecasting. 19(2). 301–309. 33 indexed citations
12.
13.
Hobbs, Peter V., et al.. (2003). Reply. Weather and Forecasting. 18(2). 389–391. 1 indexed citations
14.
Locatelli, John D., Mark T. Stoelinga, & Peter V. Hobbs. (2002). Organization and Structure of Clouds and Precipitation on the Mid-Atlantic Coast of the United States. Part VII: Diagnosis of a Nonconvective Rainband Associated with a Cold Front Aloft. Monthly Weather Review. 130(2). 278–297. 11 indexed citations
15.
Locatelli, John D., Mark T. Stoelinga, & Peter V. Hobbs. (2002). A New Look at the Super Outbreak of Tornadoes on 3–4 April 1974. Monthly Weather Review. 130(6). 1633–1651. 21 indexed citations
16.
Locatelli, John D., et al.. (2002). Norwegian-Type and Cold Front Aloft–Type Cyclones East of the Rocky Mountains. Weather and Forecasting. 17(1). 66–82. 21 indexed citations
17.
Stoelinga, Mark T., et al.. (2002). Is a Cold Pool Necessary for the Maintenance of a Squall Line Produced by a Cold Front Aloft?. Monthly Weather Review. 131(1). 95–115. 14 indexed citations
18.
Liu, Xiaohong, D́ean A. Hegg, & Mark T. Stoelinga. (2001). Numerical simulation of new particle formation over the northwest Atlantic using the MM5 mesoscale model coupled with sulfur chemistry. Journal of Geophysical Research Atmospheres. 106(D9). 9697–9715. 8 indexed citations
19.
Locatelli, John D., et al.. (1997). Surface Convergence Induced by Cold Fronts Aloft and Prefrontal Surges. Monthly Weather Review. 125(11). 2808–2820. 19 indexed citations
20.
Davis, Christopher A., Mark T. Stoelinga, & Ying‐Hwa Kuo. (1993). The Integrated Effect of Condensation in Numerical Simulations of Extratropical Cyclogenesis. Monthly Weather Review. 121(8). 2309–2330. 158 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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