O. Gill

11.7k citations
7 papers · 8.5k indexed · 2 hit papers · h-index 5

O. Gill

6 papers receiving 8.3k citations

Hit Papers

A Description of the Advanced Re...1.3k20082026201420202.0k4.0k6.0k

Peers

O. Gill
Comparison fields: 5 of 114
  • Atmospheric Science 7.0k
  • Global and Planetary Change 5.9k
  • Environmental Engineering 1.7k
  • Oceanography 903
  • Health, Toxicology and Mutagenesis 840
Replace B. Klemp with:
B. Klemp
Xiang‐Yu Huang China
Michael Iacono United States
Jordi Vilà-Guerau De Arellano Netherlands
Dale Barker United States
François‐Marie Bréon France
Roland B. Stull Canada
William C. Skamarock United States
Arlindo da Silva United States
R. T. Pinker United States
O. Gill relative to B. Klemp B. Klemp's profile →
Citations per field
00.5×1.5×
B. Klemp · 1×
Citations per year

Countries citing papers authored by O. Gill

Since Specialization
Citations

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

Fields of papers citing papers by O. Gill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 17 scholars most cited alongside O. Gill, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with O. Gill Line = papers co-authored together O. Gill links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1
A Description of the Advanced Research WRF Model Version 4breakdown →
20191255
2
A Description of the Advanced Research WRF Version 3breakdown →
20087231
3
Multi-agent modeling and analysis of the Brazilian food-poisoning scenario
200510
4 20050
5
The Weather Research and Forecast Model: software architecture and performance [presentation]
20044
6 19926
7 19929

About O. Gill

O. Gill is a scholar working on Endocrinology, Atmospheric Science, Global and Planetary Change, Environmental Engineering and Artificial Intelligence, having authored 7 papers that have together received 8.5k indexed citations. Recurring topics across this work include Meteorological Phenomena and Simulations (2 papers), Climate variability and models (2 papers), Wind and Air Flow Studies (1 paper), Vibrio bacteria research studies (1 paper), Precipitation Measurement and Analysis (1 paper), Genomics and Phylogenetic Studies (1 paper), Algorithms and Data Compression (1 paper) and Chromosomal and Genetic Variations (1 paper). The work is most often cited by research in Atmospheric Science (7.0k citations), Global and Planetary Change (5.9k citations), Environmental Engineering (1.7k citations), Oceanography (903 citations) and Health, Toxicology and Mutagenesis (840 citations). O. Gill has collaborated with scholars based in United States and Italy. Frequent co-authors include Jimy Dudhia, B. Klemp, Dale Barker, Xiang‐Yu Huang, Wei Wang, Zhiquan Liu, Gintaras Dūda, Judith Berner, Wei Wang and G. Powers. Their work appears in journals such as UCAR/NCAR.

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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