Ross Bannister

1.6k total citations
32 papers, 986 citations indexed

About

Ross Bannister is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Ross Bannister has authored 32 papers receiving a total of 986 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Atmospheric Science, 30 papers in Global and Planetary Change and 6 papers in Environmental Engineering. Recurrent topics in Ross Bannister's work include Climate variability and models (27 papers), Meteorological Phenomena and Simulations (25 papers) and Atmospheric and Environmental Gas Dynamics (7 papers). Ross Bannister is often cited by papers focused on Climate variability and models (27 papers), Meteorological Phenomena and Simulations (25 papers) and Atmospheric and Environmental Gas Dynamics (7 papers). Ross Bannister collaborates with scholars based in United Kingdom, United States and Mexico. Ross Bannister's co-authors include Stefano Migliorini, A. O’Neill, Oscar Martínez‐Alvarado, Katrin M. Nissen, Laura Baker, Alison C. Rudd, Mark Dixon, Sue Ballard, Mike Cullen and Ruth Petrie and has published in prestigious journals such as Monthly Weather Review, Quarterly Journal of the Royal Meteorological Society and American Journal of Physics.

In The Last Decade

Ross Bannister

30 papers receiving 949 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ross Bannister United Kingdom 10 886 792 196 117 37 32 986
D. Zupanski United States 17 1.0k 1.1× 976 1.2× 174 0.9× 79 0.7× 52 1.4× 30 1.1k
Prashant Kumar India 19 1.1k 1.2× 1.0k 1.3× 170 0.9× 163 1.4× 52 1.4× 99 1.4k
Junichi Ishida Japan 6 743 0.8× 594 0.8× 98 0.5× 144 1.2× 24 0.6× 8 916
Masaru Kunii Japan 20 905 1.0× 826 1.0× 120 0.6× 178 1.5× 34 0.9× 50 1.1k
Thomas Auligné United States 18 1.0k 1.2× 981 1.2× 193 1.0× 87 0.7× 42 1.1× 31 1.2k
Joanne A. Waller United Kingdom 14 666 0.8× 629 0.8× 153 0.8× 112 1.0× 78 2.1× 27 794
Brian J. Etherton United States 11 1.3k 1.5× 1.2k 1.5× 250 1.3× 290 2.5× 45 1.2× 21 1.5k
Drasko Vasiljevic United Kingdom 10 1.0k 1.2× 800 1.0× 346 1.8× 159 1.4× 67 1.8× 13 1.1k
Detlev Majewski Germany 8 1.1k 1.2× 953 1.2× 165 0.8× 126 1.1× 76 2.1× 13 1.3k
Thorsten Reinhardt Germany 7 815 0.9× 775 1.0× 134 0.7× 45 0.4× 61 1.6× 8 945

Countries citing papers authored by Ross Bannister

Since Specialization
Citations

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

Fields of papers citing papers by Ross Bannister

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ross Bannister

This figure shows the co-authorship network connecting the top 25 collaborators of Ross Bannister. A scholar is included among the top collaborators of Ross Bannister 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 Ross Bannister. Ross Bannister 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.
Quaife, Tristan, et al.. (2025). Exploring a hybrid ensemble–variational data assimilation technique (4DEnVar) with a simple ecosystem carbon model. Environmental Modelling & Software. 186. 106361–106361.
2.
Skákala, Jozef, et al.. (2024). Investigating ecosystem connections in the shelf sea environment using complex networks. Biogeosciences. 21(3). 731–746. 1 indexed citations
3.
Dong, Bo, Ross Bannister, Yumeng Chen, Alison Fowler, & Keith Haines. (2023). Simplified Kalman smoother and ensemble Kalman smoother for improving reanalyses. Geoscientific model development. 16(14). 4233–4247. 2 indexed citations
4.
Bannister, Ross, et al.. (2023). The Hydro-ABC model (Version 2.0): a simplified convective-scale model with moist dynamics. Geoscientific model development. 16(21). 6067–6085. 2 indexed citations
5.
Feltham, D. L., Peter Jan van Leeuwen, Ross Bannister, et al.. (2023). The effects of assimilating a sub-grid-scale sea ice thickness distribution in a new Arctic sea ice data assimilation system. ˜The œcryosphere. 17(6). 2509–2532. 5 indexed citations
6.
Amezcua, Javier, et al.. (2022). Hybrid ensemble-variational data assimilation in ABC-DA within a tropical framework. Geoscientific model development. 15(15). 6197–6219. 6 indexed citations
7.
Bannister, Ross. (2021). Balance conditions in variational data assimilation for a high‐resolution forecast model. Quarterly Journal of the Royal Meteorological Society. 147(738). 2917–2934. 7 indexed citations
8.
9.
Petrie, Ruth, Ross Bannister, & Michael J. Cullen. (2017). The ABC model: a non-hydrostatic toy model for use in convective-scale data assimilation investigations. Geoscientific model development. 10(12). 4419–4441. 7 indexed citations
10.
Bannister, Ross, Stefano Migliorini, Alison C. Rudd, & Laura Baker. (2017). Methods of investigating forecast error sensitivity to ensemble size ina limited-area convection-permitting ensemble. CentAUR (University of Reading). 6 indexed citations
11.
Bannister, Ross. (2015). How is the Balance of a Forecast Ensemble Affected by Adaptive and Nonadaptive Localization Schemes?. Monthly Weather Review. 143(9). 3680–3699. 7 indexed citations
12.
Baker, Laura, Alison C. Rudd, Stefano Migliorini, & Ross Bannister. (2014). Representation of model error in a convective-scale ensemble prediction system. Nonlinear processes in geophysics. 21(1). 19–39. 46 indexed citations
13.
Katz, D., Amos S. Lawless, Nancy Nichols, Mike Cullen, & Ross Bannister. (2011). Correlations of control variables in variational data assimilation. Quarterly Journal of the Royal Meteorological Society. 137(656). 620–630. 12 indexed citations
14.
15.
Fowler, Alison, Ross Bannister, & J. R. Eyre. (2010). Characterising the background errors for the boundary-layer capping inversion. 59(1SP). 17–24. 3 indexed citations
16.
Migliorini, Stefano, Mark Dixon, Ross Bannister, & Sue Ballard. (2010). Ensemble prediction for nowcasting with a convection-permitting model—I: description of the system and the impact of radar-derived surface precipitation rates. Tellus A Dynamic Meteorology and Oceanography. 63(3). 468–468. 29 indexed citations
17.
Bannister, Ross. (2008). A review of forecast error covariance statistics in atmospheric variational data assimilation. I: Characteristics and measurements of forecast error covariances. Quarterly Journal of the Royal Meteorological Society. 134(637). 1951–1970. 193 indexed citations
18.
Bannister, Ross, D. Katz, Mike Cullen, Amos S. Lawless, & Nancy Nichols. (2007). Modelling of forecast errors in geophysical fluid flows. International Journal for Numerical Methods in Fluids. 56(8). 1147–1153. 8 indexed citations
19.
Geer, Alan, Carole Peubey, Ross Bannister, et al.. (2006). Assimilation of stratospheric ozone from MIPAS into a global general‐circulation model: The September 2002 vortex split. Quarterly Journal of the Royal Meteorological Society. 132(614). 231–257. 19 indexed citations
20.
Lahoz, W. A., Alan Geer, Ross Bannister, et al.. (2005). Assimilation of Ozone and Water Vapour into the Unified Model (69). 572. 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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