Greg Roff

1.4k total citations
18 papers, 817 citations indexed

About

Greg Roff is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Greg Roff has authored 18 papers receiving a total of 817 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Atmospheric Science, 14 papers in Global and Planetary Change and 4 papers in Oceanography. Recurrent topics in Greg Roff's work include Climate variability and models (11 papers), Atmospheric and Environmental Gas Dynamics (8 papers) and Meteorological Phenomena and Simulations (5 papers). Greg Roff is often cited by papers focused on Climate variability and models (11 papers), Atmospheric and Environmental Gas Dynamics (8 papers) and Meteorological Phenomena and Simulations (5 papers). Greg Roff collaborates with scholars based in Australia, United States and United Kingdom. Greg Roff's co-authors include Andrew Charlton‐Perez, Mark Baldwin, Andrea L. Lang, Seok‐Woo Son, Michael J. Reeder, David J. Karoly, David W. J. Thompson, Harry H. Hendon, N. Andrew Cṙook and Roger K. Smith and has published in prestigious journals such as Geophysical Research Letters, Monthly Weather Review and Atmospheric chemistry and physics.

In The Last Decade

Greg Roff

17 papers receiving 790 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Greg Roff Australia 11 748 657 135 100 28 18 817
Cheryl Craig United States 13 647 0.9× 522 0.8× 205 1.5× 86 0.9× 19 0.7× 16 723
G. N. Shur Russia 9 487 0.7× 415 0.6× 99 0.7× 28 0.3× 16 0.6× 15 585
Takehiko Satomura Japan 14 480 0.6× 418 0.6× 102 0.8× 143 1.4× 8 0.3× 38 634
James K. Angell United States 17 861 1.2× 809 1.2× 126 0.9× 113 1.1× 9 0.3× 31 958
Annelize van Niekerk United Kingdom 13 324 0.4× 255 0.4× 127 0.9× 73 0.7× 10 0.4× 18 375
Benjamin Ruston United States 11 476 0.6× 323 0.5× 190 1.4× 200 2.0× 16 0.6× 21 607
Alison W. Grimsdell United States 11 454 0.6× 290 0.4× 244 1.8× 65 0.7× 18 0.6× 16 517
K. J. Pearson United Kingdom 11 230 0.3× 222 0.3× 170 1.3× 42 0.4× 37 1.3× 21 420
In‐Sun Song South Korea 16 749 1.0× 444 0.7× 538 4.0× 182 1.8× 13 0.5× 45 900
Alexandre O. Fierro United States 24 1.3k 1.8× 1.2k 1.9× 422 3.1× 117 1.2× 14 0.5× 45 1.5k

Countries citing papers authored by Greg Roff

Since Specialization
Citations

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

Fields of papers citing papers by Greg Roff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Greg Roff

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

All Works

18 of 18 papers shown
1.
Fiddes, Sonya, Marc Mallet, Simon P. Alexander, et al.. (2025). Simulating Mixed‐Phase Clouds Over Coastal Antarctica During a Significant Snowfall Event in a High‐Resolution Regional Model. Journal of Geophysical Research Atmospheres. 130(10).
2.
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
3.
Domeisen, Daniela I. V., Amy H. Butler, Andrew Charlton‐Perez, et al.. (2019). The Role of the Stratosphere in Subseasonal to Seasonal Prediction: 1. Predictability of the Stratosphere. Journal of Geophysical Research Atmospheres. 125(2). 114 indexed citations
4.
Domeisen, Daniela I. V., Amy H. Butler, Andrew Charlton‐Perez, et al.. (2019). The Role of the Stratosphere in Subseasonal to Seasonal Prediction: 2. Predictability Arising From Stratosphere‐Troposphere Coupling. Journal of Geophysical Research Atmospheres. 125(2). 191 indexed citations
5.
Sun, Zhian, et al.. (2019). Evaluation of Summer Monsoon Clouds over the Tibetan Plateau Simulated in the ACCESS Model Using Satellite Products. Advances in Atmospheric Sciences. 36(3). 326–338. 2 indexed citations
6.
Zhang, Huqiang, et al.. (2017). On the influence of simulated SST warming on rainfall projections in the Indo-Pacific domain: an AGCM study. Climate Dynamics. 50(3-4). 1373–1391. 1 indexed citations
7.
Ziehn, Tilo, R. M. Law, P. J. Rayner, & Greg Roff. (2016). Designing optimal greenhouse gas monitoring networks for Australia. Geoscientific instrumentation, methods and data systems. 5(1). 1–15. 10 indexed citations
8.
Tripathi, Om Prakash, Mark Baldwin, Andrew Charlton‐Perez, et al.. (2015). Examining the Predictability of the Stratospheric Sudden Warming of January 2013 Using Multiple NWP Systems. Monthly Weather Review. 144(5). 1935–1960. 56 indexed citations
9.
Ziehn, Tilo, Alecia Nickless, P. J. Rayner, et al.. (2014). Greenhouse gas network design using backward Lagrangian particle dispersion modelling − Part 1: Methodology and Australian test case. Atmospheric chemistry and physics. 14(17). 9363–9378. 23 indexed citations
10.
Tripathi, Om Prakash, Mark Baldwin, Andrew Charlton‐Perez, et al.. (2014). The predictability of the extratropical stratosphere on monthly time‐scales and its impact on the skill of tropospheric forecasts. Quarterly Journal of the Royal Meteorological Society. 141(689). 987–1003. 166 indexed citations
11.
Yano, Jun‐Ichi, et al.. (2012). Towards Compressed Super-Parameterization: Test of NAM-SCA under Single-Column GCM Configurations. EGUGA. 3118. 2 indexed citations
13.
Franklin, Charmaine, Christian Jakob, Martin Dix, Alain Protat, & Greg Roff. (2011). Assessing the performance of a prognostic and a diagnostic cloud scheme using single column model simulations of TWP–ICE. Quarterly Journal of the Royal Meteorological Society. 138(664). 734–754. 18 indexed citations
14.
Roff, Greg, David W. J. Thompson, & Harry H. Hendon. (2011). Does increasing model stratospheric resolution improve extended-range forecast skill?. Geophysical Research Letters. 38(5). n/a–n/a. 52 indexed citations
15.
Roff, Greg, et al.. (2002). Gravity wave characteristics over Tromelin Island during the passage of cyclone Hudah. Geophysical Research Letters. 29(6). 41 indexed citations
16.
Karoly, David J., Greg Roff, & Michael J. Reeder. (1996). Gravity wave activity associated with tropical convection detected in TOGA COARE Sounding data. Geophysical Research Letters. 23(3). 261–264. 67 indexed citations
17.
Simpson, Joanne, Greg Roff, B. R. Morton, et al.. (1991). A Great Salt Lake Waterspout. Monthly Weather Review. 119(12). 2741–2770. 11 indexed citations
18.
Smith, Roger K., Greg Roff, & N. Andrew Cṙook. (1982). The Morning Glory: An extraordinary atmospheric undular bore. Quarterly Journal of the Royal Meteorological Society. 108(458). 937–956. 48 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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