Peter Steinle

1.5k total citations
43 papers, 849 citations indexed

About

Peter Steinle is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Peter Steinle has authored 43 papers receiving a total of 849 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Atmospheric Science, 28 papers in Global and Planetary Change and 9 papers in Environmental Engineering. Recurrent topics in Peter Steinle's work include Meteorological Phenomena and Simulations (29 papers), Climate variability and models (24 papers) and Precipitation Measurement and Analysis (11 papers). Peter Steinle is often cited by papers focused on Meteorological Phenomena and Simulations (29 papers), Climate variability and models (24 papers) and Precipitation Measurement and Analysis (11 papers). Peter Steinle collaborates with scholars based in Australia, United Kingdom and United States. Peter Steinle's co-authors include Jeffrey P. Walker, Richard de Jeu, Clara Draper, Thomas Holmes, Imtiaz Dharssi, Susan Rennie, Christopher J. White, Chun‐Hsu Su, Paul Fox‐Hughes and Charmaine Franklin and has published in prestigious journals such as Remote Sensing of Environment, Water Resources Research and Journal of Computational Physics.

In The Last Decade

Peter Steinle

42 papers receiving 817 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter Steinle Australia 14 629 395 386 90 75 43 849
M. Klein United States 16 712 1.1× 433 1.1× 175 0.5× 45 0.5× 141 1.9× 44 840
Koyuru Iwanami Japan 14 1.5k 2.3× 497 1.3× 824 2.1× 78 0.9× 42 0.6× 64 1.6k
M. Haken United States 9 660 1.0× 645 1.6× 190 0.5× 23 0.3× 153 2.0× 16 840
Toneo Kawanishi Japan 7 785 1.2× 414 1.0× 270 0.7× 127 1.4× 85 1.1× 20 887
Ben Jong‐Dao Jou Taiwan 22 1.1k 1.7× 168 0.4× 778 2.0× 234 2.6× 32 0.4× 59 1.2k
Haidao Lin United States 5 794 1.3× 165 0.4× 679 1.8× 54 0.6× 69 0.9× 6 923
Luca Baldini Italy 22 1.3k 2.0× 545 1.4× 522 1.4× 69 0.8× 139 1.9× 113 1.4k
S. Dinardo United States 12 547 0.9× 537 1.4× 78 0.2× 163 1.8× 202 2.7× 26 787
P. Mascart France 12 1.3k 2.0× 322 0.8× 1.2k 3.2× 105 1.2× 28 0.4× 17 1.5k
S. Pugnaghi Italy 14 280 0.4× 104 0.3× 275 0.7× 50 0.6× 91 1.2× 45 520

Countries citing papers authored by Peter Steinle

Since Specialization
Citations

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

Fields of papers citing papers by Peter Steinle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Steinle

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Steinle. A scholar is included among the top collaborators of Peter Steinle 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 Peter Steinle. Peter Steinle 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.
Su, Chun‐Hsu, Susan Rennie, Emma Howard, et al.. (2025). The Australian regional atmospheric reanalysis system, version 2 – BARRA2. Journal of Southern Hemisphere Earth System Science. 75(3).
2.
Li, Ming, Quanxi Shao, Joel Janek Dabrowski, et al.. (2024). Developing a statistical approach of evaluating daily maximum and minimum temperature observations from third‐party automatic weather stations in Australia. Quarterly Journal of the Royal Meteorological Society. 150(760). 1624–1642. 2 indexed citations
3.
Li, Ming, Quanxi Shao, Joel Janek Dabrowski, et al.. (2023). An automatic quality evaluation procedure for third-party daily rainfall observations and its application over Australia. Stochastic Environmental Research and Risk Assessment. 37(7). 2473–2493. 2 indexed citations
4.
Roff, Greg, et al.. (2022). APS2-ACCESS-C2: the first Australian operational NWP convection-permitting model. Journal of Southern Hemisphere Earth System Science. 72(1). 1–18. 6 indexed citations
5.
Su, Chun‐Hsu, Dörte Jakob, Paul Fox‐Hughes, et al.. (2021). BARRA v1.0: kilometre-scale downscaling of an Australian regional atmospheric reanalysis over four midlatitude domains. Geoscientific model development. 14(7). 4357–4378. 30 indexed citations
6.
Ingleby, Bruce, Brett Candy, J. R. Eyre, et al.. (2020). The Impact of COVID‐19 on Weather Forecasts: A Balanced View. Geophysical Research Letters. 48(4). e2020GL090699–e2020GL090699. 14 indexed citations
7.
Coning, Estelle de, et al.. (2020). Special Issue on Development and Application of Seamless Prediction Systems. Meteorologische Zeitschrift. 29(3). 179–181. 1 indexed citations
8.
Su, Chun‐Hsu, Peter Steinle, Dörte Jakob, et al.. (2019). BARRA v1.0: the Bureau of Meteorology Atmospheric high-resolution Regional Reanalysis for Australia. Geoscientific model development. 12(5). 2049–2068. 110 indexed citations
9.
10.
Dharssi, Imtiaz, et al.. (2017). Comparison of soil wetness from multiple models over Australia with observations. Water Resources Research. 53(1). 633–646. 22 indexed citations
11.
12.
Steinle, Peter, et al.. (2015). Efficient performance of the Met Office Unified Model v8.2 on Intel Xeon partially used nodes. Geoscientific model development. 8(3). 769–779. 3 indexed citations
13.
Walker, Jeffrey P., et al.. (2011). Comparison of weather radar, numerical weather prediction and gauge-based rainfall estimates. Chan, F., Marinova, D. and Anderssen, R.S. (eds) MODSIM2011, 19th International Congress on Modelling and Simulation.. 4 indexed citations
14.
Xiao, Yi, et al.. (2011). Mesoscale Surface Analysis System for the Australian Domain: Design Issues, Development Status, and System Validation. Weather and Forecasting. 27(1). 141–157. 8 indexed citations
15.
Marshall, John, et al.. (2011). The generation and assimilation of continuous AMVs with 4DVar. 61(2). 117–123. 3 indexed citations
16.
Bishop, Craig H., Daniel Hodyss, Peter Steinle, et al.. (2010). Efficient Ensemble Covariance Localization in Variational Data Assimilation. Monthly Weather Review. 139(2). 573–580. 29 indexed citations
17.
Marshall, John, Yi Xiao, Robert Norman, et al.. (2010). The beneficial impact of radio occultation observations on Australian region forecasts. 60(2). 121–125. 23 indexed citations
18.
Marshall, John, James A. Jung, L. Riishojgaard, et al.. (2009). Satellite Data Assimilation. 1 indexed citations
19.
Vincent, Claire, et al.. (2008). Verification of a high-resolution mesoscale NWP system. 57(3). 213–233. 8 indexed citations
20.
Draper, Clara, Jeffrey P. Walker, Peter Steinle, Richard de Jeu, & Thomas Holmes. (2007). Remotely sensed soil moisture over Australia from AMSR-E. Congress on Modelling and Simulation. 11 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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