Mark S. Roulston

1.7k total citations
24 papers, 1.3k citations indexed

About

Mark S. Roulston is a scholar working on Atmospheric Science, Global and Planetary Change and Astronomy and Astrophysics. According to data from OpenAlex, Mark S. Roulston has authored 24 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Atmospheric Science, 10 papers in Global and Planetary Change and 3 papers in Astronomy and Astrophysics. Recurrent topics in Mark S. Roulston's work include Meteorological Phenomena and Simulations (10 papers), Climate variability and models (8 papers) and Atmospheric and Environmental Gas Dynamics (4 papers). Mark S. Roulston is often cited by papers focused on Meteorological Phenomena and Simulations (10 papers), Climate variability and models (8 papers) and Atmospheric and Environmental Gas Dynamics (4 papers). Mark S. Roulston collaborates with scholars based in United States, United Kingdom and Netherlands. Mark S. Roulston's co-authors include Laura Smith, Leonard A. Smith, J. David Neelin, Jost von Hardenberg, Daniel T. Kaplan, Yuk L. Yung, C. D. Camp, Andrew N. Kleit, Gary E. Bolton and Todd R. Kaplan and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Geophysical Research Letters and Monthly Weather Review.

In The Last Decade

Mark S. Roulston

23 papers receiving 1.2k 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 S. Roulston United States 15 604 574 144 141 122 24 1.3k
Young‐Il Moon South Korea 17 667 1.1× 295 0.5× 140 1.0× 199 1.4× 28 0.2× 93 1.2k
Petra Friederichs Germany 21 1.4k 2.4× 1.2k 2.0× 111 0.8× 244 1.7× 99 0.8× 58 2.1k
Jochen Bröcker United Kingdom 12 372 0.6× 375 0.7× 121 0.8× 96 0.7× 87 0.7× 43 740
Yongxiang Huang China 20 371 0.6× 252 0.4× 61 0.4× 288 2.0× 101 0.8× 75 1.2k
Caren Marzban United States 21 633 1.0× 734 1.3× 164 1.1× 347 2.5× 63 0.5× 49 1.3k
Andrew Zammit‐Mangion Australia 15 338 0.6× 339 0.6× 223 1.5× 351 2.5× 52 0.4× 66 1.4k
Lasse Holmström Finland 20 219 0.4× 502 0.9× 331 2.3× 114 0.8× 41 0.3× 77 1.4k
Jakob Runge Germany 22 1.2k 1.9× 779 1.4× 299 2.1× 177 1.3× 50 0.4× 63 2.4k
Nan Chen United States 28 735 1.2× 1.0k 1.8× 94 0.7× 245 1.7× 103 0.8× 138 2.2k
Duane C. Boes United States 19 679 1.1× 139 0.2× 132 0.9× 173 1.2× 82 0.7× 35 1.6k

Countries citing papers authored by Mark S. Roulston

Since Specialization
Citations

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

Fields of papers citing papers by Mark S. Roulston

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark S. Roulston

This figure shows the co-authorship network connecting the top 25 collaborators of Mark S. Roulston. A scholar is included among the top collaborators of Mark S. Roulston 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 S. Roulston. Mark S. Roulston 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.
Roulston, Mark S., et al.. (2016). Establishing a Real-Money Prediction Market for Climate on Decadal Horizons. AGU Fall Meeting Abstracts. 2016. 1 indexed citations
2.
Roulston, Mark S. & Todd R. Kaplan. (2008). A laboratory‐based study of understanding of uncertainty in 5‐day site‐specific temperature forecasts. Meteorological Applications. 16(2). 237–244. 33 indexed citations
3.
Roulston, Mark S.. (2007). Performance targets and the Brier score. Meteorological Applications. 14(2). 185–194. 34 indexed citations
4.
Roulston, Mark S.. (2006). The Scientist's Dilemma. Bulletin of the American Meteorological Society. 87(5). 571–572. 4 indexed citations
5.
Roulston, Mark S., et al.. (2006). A Laboratory Study of the Benefits of Including Uncertainty Information in Weather Forecasts. Weather and Forecasting. 21(1). 116–122. 66 indexed citations
6.
Roulston, Mark S.. (2005). A comparison of predictors of the error of weather forecasts. Nonlinear processes in geophysics. 12(6). 1021–1032. 4 indexed citations
7.
Roulston, Mark S., et al.. (2005). Forecasting wave height probabilities with numerical weather prediction models. Ocean Engineering. 32(14-15). 1841–1863. 32 indexed citations
8.
Roulston, Mark S. & Laura Smith. (2004). The Boy Who Cried Wolf Revisited: The Impact of False Alarm Intolerance on Cost–Loss Scenarios. Weather and Forecasting. 19(2). 391–397. 44 indexed citations
9.
Camp, C. D., Mark S. Roulston, & Yuk L. Yung. (2003). Temporal and spatial patterns of the interannual variability of total ozone in the tropics. Journal of Geophysical Research Atmospheres. 108(D20). 57 indexed citations
10.
Roulston, Mark S. & Laura Smith. (2003). Combining dynamical and statistical ensembles. Tellus A Dynamic Meteorology and Oceanography. 55(1). 16–30. 87 indexed citations
11.
Roulston, Mark S. & J. David Neelin. (2003). Non‐linear coupling between modes in a low‐dimensional model of ENSO. ATMOSPHERE-OCEAN. 41(3). 217–231. 6 indexed citations
12.
Roulston, Mark S., Daniel T. Kaplan, Jost von Hardenberg, & Laura Smith. (2002). Using medium-range weather forcasts to improve the value of wind energy production. Renewable Energy. 28(4). 585–602. 85 indexed citations
13.
Roulston, Mark S., Christine Ziehmann, & Leonard A. Smith. (2001). A forecast reliability index from ensembles: a comparison of methods. London School of Economics and Political Science Research Online (London School of Economics and Political Science). 29(4). 276–282.
14.
Smith, Leonard A., Mark S. Roulston, & Jost von Hardenberg. (2001). End to end ensemble forecasting: Towards evaluating the economic value of the Ensemble Prediction System. London School of Economics and Political Science Research Online (London School of Economics and Political Science). 5 indexed citations
15.
Camp, C. D., Mark S. Roulston, A. F. C. Haldemann, & Yuk L. Yung. (2001). The sensitivity of tropospheric methane to the interannual variability in stratospheric ozone. CaltechAUTHORS (California Institute of Technology). 3(2). 147–156. 8 indexed citations
16.
Roulston, Mark S., et al.. (2001). Value of the ECMWF Ensemble Prediction System for Forecasting Wind Energy Production. 2 indexed citations
17.
Roulston, Mark S. & J. David Neelin. (2000). The response of an ENSO Model to climate noise, weather noise and intraseasonal forcing. Geophysical Research Letters. 27(22). 3723–3726. 76 indexed citations
18.
Roulston, Mark S. & D. O. Muhleman. (1997). Synthesizing radar maps of polar regions with a Doppler-only method. Applied Optics. 36(17). 3912–3912. 17 indexed citations
19.
Roulston, Mark S. & Thomas J. Ahrens. (1997). Impact Mechanics and Frequency of SL9-Type Events on Jupiter☆. Icarus. 126(1). 138–147. 15 indexed citations
20.
Roulston, Mark S. & Thomas J. Ahrens. (1995). A Model for Plume Heights Produced by the Shoemaker-Levy 9 Impact. DPS. 27. 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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