David Gill

4.6k total citations · 1 hit paper
12 papers, 2.7k citations indexed

About

David Gill is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, David Gill has authored 12 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Atmospheric Science, 10 papers in Global and Planetary Change and 2 papers in Oceanography. Recurrent topics in David Gill's work include Climate variability and models (9 papers), Meteorological Phenomena and Simulations (8 papers) and Tropical and Extratropical Cyclones Research (5 papers). David Gill is often cited by papers focused on Climate variability and models (9 papers), Meteorological Phenomena and Simulations (8 papers) and Tropical and Extratropical Cyclones Research (5 papers). David Gill collaborates with scholars based in United States, Ireland and South Africa. David Gill's co-authors include Jimy Dudhia, Joseph B. Klemp, William C. Skamarock, Wei Wang, Dale Barker, John Michalakes, Tom Henderson, P. J. Maechling, Fei Chen and Michael Duda and has published in prestigious journals such as Monthly Weather Review, Geophysical Journal International and Bulletin of the American Meteorological Society.

In The Last Decade

David Gill

12 papers receiving 2.6k citations

Hit Papers

A Description of the Advanced Research WRF Version 2 2005 2026 2012 2019 2005 500 1000 1.5k 2.0k

Peers

David Gill
Melville E. Nicholls United States
Judith Berner United States
Craig J. Tremback United States
Lewis D. Grasso United States
N. Robinson United Kingdom
Mitchell D. Goldberg United States
W. A. Lahoz United Kingdom
John Methven United Kingdom
Zhiquan Liu United States
Melville E. Nicholls United States
David Gill
Citations per year, relative to David Gill David Gill (= 1×) peers Melville E. Nicholls

Countries citing papers authored by David Gill

Since Specialization
Citations

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

Fields of papers citing papers by David Gill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Gill

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

All Works

12 of 12 papers shown
1.
Powers, Jordan G., et al.. (2021). Cloud Computing Efforts for the Weather Research and Forecasting Model. Bulletin of the American Meteorological Society. 102(6). E1261–E1274. 9 indexed citations
3.
Beck, Jeffrey, John M. Brown, Jimy Dudhia, et al.. (2020). An Evaluation of a Hybrid, Terrain-Following Vertical Coordinate in the WRF-Based RAP and HRRR Models. Weather and Forecasting. 35(3). 1081–1096. 19 indexed citations
4.
Mooney, Priscilla, F. J. Mulligan, Cindy L. Bruyère, Chelsea Parker, & David Gill. (2018). Investigating the performance of coupled WRF-ROMS simulations of Hurricane Irene (2011) in a regional climate modeling framework. Atmospheric Research. 215. 57–74. 25 indexed citations
5.
Small, Patrick, David Gill, P. J. Maechling, et al.. (2017). The SCEC Unified Community Velocity Model Software Framework. Seismological Research Letters. 88(6). 1539–1552. 74 indexed citations
6.
Hacker, Joshua P., et al.. (2016). A Containerized Mesoscale Model and Analysis Toolkit to Accelerate Classroom Learning, Collaborative Research, and Uncertainty Quantification. Bulletin of the American Meteorological Society. 98(6). 1129–1138. 19 indexed citations
7.
Mooney, Priscilla, David Gill, F. J. Mulligan, & Cindy L. Bruyère. (2016). Hurricane simulation using different representations of atmosphere–ocean interaction: the case of Irene (2011). Atmospheric Science Letters. 17(7). 415–421. 15 indexed citations
8.
Böse, Maren, Robert Graves, David Gill, S. Callaghan, & P. J. Maechling. (2014). CyberShake-derived ground-motion prediction models for the Los Angeles region with application to earthquake early warning. Geophysical Journal International. 198(3). 1438–1457. 10 indexed citations
9.
Kusaka, Hiroyuki, Fei Chen, Mukul Tewari, et al.. (2012). Numerical Simulation of Urban Heat Island Effect by the WRF Model with 4-km Grid Increment: An Inter-Comparison Study between the Urban Canopy Model and Slab Model. Journal of the Meteorological Society of Japan Ser II. 90B(0). 33–45. 82 indexed citations
10.
Michalakes, John, Jimy Dudhia, David Gill, et al.. (2005). THE WEATHER RESEARCH AND FORECAST MODEL: SOFTWARE ARCHITECTURE AND PERFORMANCE. 156–168. 315 indexed citations
11.
Skamarock, William C., Joseph B. Klemp, Jimy Dudhia, et al.. (2005). A Description of the Advanced Research WRF Version 2. UCAR/NCAR. 2084 indexed citations breakdown →
12.
Kuo, Ying‐Hwa, et al.. (1987). Retrieving Temperature and Geopotential Fields from a Network of Wind Profiler Observations. Monthly Weather Review. 115(12). 3146–3165. 7 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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