W. R. Moninger

2.0k total citations · 1 hit paper
36 papers, 1.5k citations indexed

About

W. R. Moninger is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, W. R. Moninger has authored 36 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Atmospheric Science, 15 papers in Global and Planetary Change and 12 papers in Environmental Engineering. Recurrent topics in W. R. Moninger's work include Meteorological Phenomena and Simulations (28 papers), Wind and Air Flow Studies (8 papers) and Atmospheric aerosols and clouds (7 papers). W. R. Moninger is often cited by papers focused on Meteorological Phenomena and Simulations (28 papers), Wind and Air Flow Studies (8 papers) and Atmospheric aerosols and clouds (7 papers). W. R. Moninger collaborates with scholars based in United States, Canada and Norway. W. R. Moninger's co-authors include Stanley G. Benjamin, Tracy Lorraine Smith, Eric James, David C. Dowell, Steven E. Peckham, Joseph B. Olson, Geoffrey S. Manikin, Haidao Lin, Jaymes S. Kenyon and Georg Grell and has published in prestigious journals such as Journal of the Atmospheric Sciences, Monthly Weather Review and Bulletin of the American Meteorological Society.

In The Last Decade

W. R. Moninger

34 papers receiving 1.4k citations

Hit Papers

A North American Hourly Assimilation and Model Forecast C... 2015 2026 2018 2022 2015 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
W. R. Moninger United States 15 1.2k 977 271 171 91 36 1.5k
Georg J. Mayr Austria 27 1.3k 1.1× 1.1k 1.1× 451 1.7× 122 0.7× 105 1.2× 88 1.7k
Geoffrey S. Manikin United States 10 1.7k 1.5× 1.6k 1.6× 383 1.4× 147 0.9× 101 1.1× 18 2.1k
Frederick H. Carr United States 16 1.2k 1.1× 1.1k 1.1× 315 1.2× 63 0.4× 105 1.2× 32 1.4k
Jaymes S. Kenyon United States 11 1.4k 1.2× 1.3k 1.3× 332 1.2× 120 0.7× 92 1.0× 22 1.7k
Laurence J. Wilson Canada 16 934 0.8× 847 0.9× 193 0.7× 54 0.3× 172 1.9× 26 1.2k
Stephen S. Weygandt United States 17 2.3k 2.0× 2.1k 2.1× 514 1.9× 168 1.0× 131 1.4× 30 2.7k
Jochen Kerkmann Germany 11 1.2k 1.0× 1.2k 1.2× 220 0.8× 125 0.7× 89 1.0× 15 1.6k
Eric James United States 19 1.4k 1.2× 1.3k 1.3× 303 1.1× 126 0.7× 106 1.2× 55 1.8k
Tracy Lorraine Smith United States 12 1.6k 1.3× 1.4k 1.4× 334 1.2× 307 1.8× 212 2.3× 20 2.0k
Curtis R. Alexander United States 22 2.1k 1.8× 1.6k 1.7× 628 2.3× 139 0.8× 95 1.0× 56 2.4k

Countries citing papers authored by W. R. Moninger

Since Specialization
Citations

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

Fields of papers citing papers by W. R. Moninger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by W. R. Moninger. 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 W. R. Moninger. The network helps show where W. R. Moninger may publish in the future.

Co-authorship network of co-authors of W. R. Moninger

This figure shows the co-authorship network connecting the top 25 collaborators of W. R. Moninger. A scholar is included among the top collaborators of W. R. Moninger 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 W. R. Moninger. W. R. Moninger 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.
Haupt, Sue Ellen, David John Gagne, William W. Hsieh, et al.. (2021). The History and Practice of AI in the Environmental Sciences. Bulletin of the American Meteorological Society. 103(5). E1351–E1370. 25 indexed citations
2.
Benjamin, Stanley G. & W. R. Moninger. (2016). Comments on “A Comparison of Temperature and Wind Measurements from ACARS-Equipped Aircraft and Rawinsondes”. Weather and Forecasting. 31(3). 1037–1038. 2 indexed citations
3.
Benjamin, Stanley G., et al.. (2009). Relative Short-Range Forecast Impact from Aircraft, Profiler, Radiosonde, VAD, GPS-PW, METAR, and Mesonet Observations via the RUC Hourly Assimilation Cycle. Monthly Weather Review. 138(4). 1319–1343. 93 indexed citations
4.
Moninger, W. R., et al.. (2008). Tropospheric Airborne Meteorological Data Reporting (TAMDAR) Overview. NASA Technical Reports Server (NASA). 15 indexed citations
5.
Szoke, Edward J., et al.. (2006). An evaluation of TAMDAR soundings in severe storm forecasting. 3 indexed citations
6.
Moninger, W. R.. (2004). TAMDAR, the Rapid Update Cycle, and the Great Lakes Fleet Experiment. 11th Conference on Aviation, Range, and Aerospace and the 22nd Conference on Severe Local Storms. 2 indexed citations
7.
Moninger, W. R., et al.. (2003). Automated Meteorological Reports from Commercial Aircraft. Bulletin of the American Meteorological Society. 84(2). 203–216. 108 indexed citations
8.
Stewart, Thomas R., et al.. (1993). The Weather Information and Skill Experiment (WISE): The Effect of Varying Levels of Information on Forecast Skill. Weather and Forecasting. 8(1). 25–36. 14 indexed citations
9.
Moninger, W. R., Cynthia M. Lusk, John A. Flueck, et al.. (1991). Shootout-89, A Comparative Evaluation of Knowledge-based Systems That Forecast Severe Weather. Bulletin of the American Meteorological Society. 72(9). 1339–1354. 14 indexed citations
10.
Stewart, Thomas R., et al.. (1989). Analysis of Expert Judgment in a Hail Forecasting Experiment. Weather and Forecasting. 4(1). 24–34. 26 indexed citations
11.
Eberhard, Wynn L., W. R. Moninger, & Gary A. Briggs. (1988). Plume Dispersion in the Convective Boundary Layer. Part I: CONDORS Field Experiment and Example Measurements. Journal of Applied Meteorology. 27(5). 599–616. 21 indexed citations
12.
Moninger, W. R. & R. A. Kropfli. (1987). A Technique to Measure Entrainment in Cloud by Dual-Polarization Radar and Chaff. Journal of Atmospheric and Oceanic Technology. 4(1). 75–83. 14 indexed citations
13.
Briggs, Gary A., et al.. (1986). Convective diffusion-field measurements compared with laboratory and numerical experiments. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 37(5). 441–6.
14.
Eberhard, Wynn L., et al.. (1985). Field measurements in three dimensions of plume dispersion in the highly convective boundary layer. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 24(5). 189–92. 7 indexed citations
15.
Moninger, W. R., et al.. (1984). Scattering properties of hydrometeors as measured by dual‐polarization Doppler radar during CCOPE. Radio Science. 19(1). 149–156. 8 indexed citations
16.
Moninger, W. R., et al.. (1984). MELTING LAYER OBSERVATIONS DURING MAYPOLE.. 2 indexed citations
17.
Moninger, W. R.. (1983). Design and Development of a Radar Control Program for the NOAA/WPL Pulse-Doppler Radars. Journal of Climate and Applied Meteorology. 22(5). 859–862.
18.
Frisch, A. S., et al.. (1976). Observations of boundary-layer convection cells measured by dual-Doppler radar and echosonde, and by microbarograph array. Boundary-Layer Meteorology. 10(1). 55–68. 16 indexed citations
19.
Gossard, Earl E. & W. R. Moninger. (1975). The Influence of a Capping Inversion on the Dynamic and. Convective Instability of a Boundary Layer Model with Shear. Journal of the Atmospheric Sciences. 32(11). 2111–2124. 10 indexed citations
20.
Gossard, Earl E., et al.. (1975). Dispersion and spectra of gravity waves probably generated by a convective storm. Tellus A Dynamic Meteorology and Oceanography. 27(1). 25–25. 3 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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