Jamie K. Wolff

686 total citations
19 papers, 489 citations indexed

About

Jamie K. Wolff is a scholar working on Atmospheric Science, Global and Planetary Change and Pollution. According to data from OpenAlex, Jamie K. Wolff has authored 19 papers receiving a total of 489 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Atmospheric Science, 11 papers in Global and Planetary Change and 3 papers in Pollution. Recurrent topics in Jamie K. Wolff's work include Meteorological Phenomena and Simulations (13 papers), Climate variability and models (8 papers) and Smart Materials for Construction (3 papers). Jamie K. Wolff is often cited by papers focused on Meteorological Phenomena and Simulations (13 papers), Climate variability and models (8 papers) and Smart Materials for Construction (3 papers). Jamie K. Wolff collaborates with scholars based in United States. Jamie K. Wolff's co-authors include Robert Sharman, Claudia Tebaldi, Gerry Wiener, Louisa Nance, John Halley Gotway, Tressa Fowler, Barbara G. Brown, Curtis R. Alexander, Judith Berner and Jeffrey Beck and has published in prestigious journals such as Monthly Weather Review, Bulletin of the American Meteorological Society and Weather and Forecasting.

In The Last Decade

Jamie K. Wolff

17 papers receiving 476 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jamie K. Wolff 424 378 134 58 34 19 489
Donald W. McCann 293 0.7× 238 0.6× 126 0.9× 36 0.6× 22 0.6× 12 374
Marilyn M. Wolfson 231 0.5× 185 0.5× 68 0.5× 60 1.0× 12 0.4× 18 340
Guylaine Canut 431 1.0× 399 1.1× 140 1.0× 46 0.8× 75 2.2× 27 521
V. Perov 407 1.0× 350 0.9× 152 1.1× 19 0.3× 32 0.9× 9 459
Alan E. Lipton 404 1.0× 312 0.8× 161 1.2× 31 0.5× 8 0.2× 30 481
Michael P. Foster 556 1.3× 490 1.3× 121 0.9× 18 0.3× 14 0.4× 11 619
Steven C. Albers 335 0.8× 268 0.7× 73 0.5× 32 0.6× 10 0.3× 11 390
Francesc Junyent 315 0.7× 114 0.3× 141 1.1× 47 0.8× 11 0.3× 27 354
Donghai Wang 644 1.5× 580 1.5× 90 0.7× 14 0.2× 15 0.4× 16 694
Anders A. Jensen 360 0.8× 308 0.8× 81 0.6× 79 1.4× 16 0.5× 23 422

Countries citing papers authored by Jamie K. Wolff

Since Specialization
Citations

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

Fields of papers citing papers by Jamie K. Wolff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jamie K. Wolff. 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 Jamie K. Wolff. The network helps show where Jamie K. Wolff may publish in the future.

Co-authorship network of co-authors of Jamie K. Wolff

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

All Works

19 of 19 papers shown
1.
Wolff, Jamie K., et al.. (2021). Enhancing the Student Experience with Numerical Weather Prediction: Advantages of Integrating Container and Cloud Technologies into Course Curricula. Bulletin of the American Meteorological Society. 103(2). E531–E535. 2 indexed citations
2.
Carley, Jacob R., Benjamin T. Blake, Thomas L. Black, et al.. (2020). Advances Toward an Operational Convection-Allowing Ensemble Prediction System in the Unified Forecast System at NOAA.
3.
Brown, Barbara G., Tara Jensen, John Halley Gotway, et al.. (2020). The Model Evaluation Tools (MET): More than a Decade of Community-Supported Forecast Verification. Bulletin of the American Meteorological Society. 102(4). E782–E807. 41 indexed citations
4.
Tessendorf, Sarah A., Kyoko Ikeda, Courtney Weeks, et al.. (2020). An Assessment of Winter Orographic Precipitation and Cloud-Seeding Potential in Wyoming. Journal of Applied Meteorology and Climatology. 59(7). 1217–1238. 9 indexed citations
5.
Gallo, Burkely T., Jamie K. Wolff, Adam J. Clark, et al.. (2020). Exploring Convection-Allowing Model Evaluation Strategies for Severe Local Storms Using the Finite-Volume Cubed-Sphere (FV3) Model Core. Weather and Forecasting. 36(1). 3–19. 13 indexed citations
6.
Gallus, William A., et al.. (2019). The Impacts of Using Mixed Physics in the Community Leveraged Unified Ensemble. Weather and Forecasting. 34(4). 849–867. 4 indexed citations
7.
Jankov, Isidora, Jeffrey Beck, Jamie K. Wolff, et al.. (2018). Stochastically Perturbed Parameterizations in an HRRR-Based Ensemble. Monthly Weather Review. 147(1). 153–173. 44 indexed citations
8.
Griffin, Sarah M., Jason A. Otkin, Christopher M. Rozoff, et al.. (2017). Seasonal Analysis of Cloud Objects in the High-Resolution Rapid Refresh (HRRR) Model Using Object-Based Verification. Journal of Applied Meteorology and Climatology. 56(8). 2317–2334. 22 indexed citations
9.
Wolff, Jamie K., et al.. (2016). Addressing model uncertainty through stochastic parameter perturbations within the High Resolution Rapid Refresh (HRRR) ensemble. AGU Fall Meeting Abstracts. 2016. 1 indexed citations
10.
Wolff, Jamie K., Jacob R. Carley, Brad S. Ferrier, et al.. (2016). Mesoscale Model Evaluation Testbed (MMET): A Resource for Transitioning NWP Innovations from Research to Operations (R2O). Bulletin of the American Meteorological Society. 97(11). 2135–2147. 4 indexed citations
11.
Wolff, Jamie K., et al.. (2014). Beyond the Basics: Evaluating Model-Based Precipitation Forecasts Using Traditional, Spatial, and Object-Based Methods. Weather and Forecasting. 29(6). 1451–1472. 78 indexed citations
12.
Wolff, Jamie K., et al.. (2013). Tracking WRF performance: How do the three most recent versions compare? [presentation]. 1 indexed citations
13.
Wolff, Jamie K., Brad S. Ferrier, & Clifford F. Mass. (2012). Establishing Closer Collaboration to Improve Model Physics for Short-Range Forecasts. Bulletin of the American Meteorological Society. 93(7). ES51–ES53. 4 indexed citations
14.
Wolff, Jamie K.. (2009). WRF Reference Configurations. 2 indexed citations
15.
Wolff, Jamie K. & Robert Sharman. (2008). Climatology of Upper-Level Turbulence over the Contiguous United States. Journal of Applied Meteorology and Climatology. 47(8). 2198–2214. 76 indexed citations
16.
Sharman, Robert, Claudia Tebaldi, Gerry Wiener, & Jamie K. Wolff. (2006). An Integrated Approach to Mid- and Upper-Level Turbulence Forecasting. Weather and Forecasting. 21(3). 268–287. 185 indexed citations
17.
Mahoney, William P., Ben Bernstein, Jamie K. Wolff, et al.. (2005). FHWA's Maintenance Decision Support System Project: Results and Recommendations. Transportation Research Record Journal of the Transportation Research Board. 1911. 133–142. 1 indexed citations
18.
Mahoney, William P., Ben Bernstein, Jamie K. Wolff, et al.. (2005). FHWA's Maintenance Decision Support System Project. Transportation Research Record Journal of the Transportation Research Board. 1911(1). 133–142.
19.
Bernstein, Ben C., et al.. (2004). VERIFICATION OF THE ROAD WEATHER FORECAST SYSTEM RUN DURING THE 2003 DEMONSTRATION AT THE IOWA DEPARTMENT OF TRANSPORTATION. Transportation research circular. 2 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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