Lance M. Leslie

3.7k total citations
157 papers, 2.8k citations indexed

About

Lance M. Leslie is a scholar working on Global and Planetary Change, Atmospheric Science and Oceanography. According to data from OpenAlex, Lance M. Leslie has authored 157 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 119 papers in Global and Planetary Change, 106 papers in Atmospheric Science and 41 papers in Oceanography. Recurrent topics in Lance M. Leslie's work include Climate variability and models (98 papers), Meteorological Phenomena and Simulations (83 papers) and Tropical and Extratropical Cyclones Research (32 papers). Lance M. Leslie is often cited by papers focused on Climate variability and models (98 papers), Meteorological Phenomena and Simulations (83 papers) and Tropical and Extratropical Cyclones Research (32 papers). Lance M. Leslie collaborates with scholars based in Australia, United States and China. Lance M. Leslie's co-authors include Peter Lamb, Robert James Purser, Zewdu Segele, Milton Speer, Michael B. Richman, Yaping Shao, Roger K. Smith, Harold E. Brooks, David M. Schultz and Andrew F. Bennett and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and Journal of Fluid Mechanics.

In The Last Decade

Lance M. Leslie

148 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lance M. Leslie Australia 28 2.1k 1.9k 419 418 284 157 2.8k
John Edwards United Kingdom 31 3.4k 1.6× 3.4k 1.8× 512 1.2× 362 0.9× 268 0.9× 64 4.1k
Qingcun Zeng China 23 1.7k 0.8× 1.6k 0.8× 250 0.6× 539 1.3× 193 0.7× 135 2.3k
João Teixeira United States 23 2.1k 1.0× 1.8k 1.0× 418 1.0× 241 0.6× 180 0.6× 67 2.6k
David B. Parsons United States 31 4.4k 2.1× 4.2k 2.2× 428 1.0× 530 1.3× 386 1.4× 74 5.2k
Philippe Drobinski France 39 3.4k 1.6× 3.1k 1.6× 883 2.1× 578 1.4× 155 0.5× 175 4.5k
Pedro Miranda Portugal 31 1.7k 0.8× 2.1k 1.1× 472 1.1× 966 2.3× 200 0.7× 121 3.5k
Craig J. Tremback United States 12 2.5k 1.2× 2.7k 1.4× 710 1.7× 210 0.5× 167 0.6× 16 3.4k
Robert A. Maddox United States 29 4.1k 2.0× 4.3k 2.2× 490 1.2× 226 0.5× 388 1.4× 73 5.0k
Danijel Belušić Croatia 25 1.1k 0.5× 1.4k 0.7× 464 1.1× 407 1.0× 76 0.3× 70 1.9k
Luiz A. T. Machado Brazil 32 2.9k 1.4× 2.7k 1.4× 303 0.7× 248 0.6× 258 0.9× 132 3.7k

Countries citing papers authored by Lance M. Leslie

Since Specialization
Citations

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

Fields of papers citing papers by Lance M. Leslie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lance M. Leslie. 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 Lance M. Leslie. The network helps show where Lance M. Leslie may publish in the future.

Co-authorship network of co-authors of Lance M. Leslie

This figure shows the co-authorship network connecting the top 25 collaborators of Lance M. Leslie. A scholar is included among the top collaborators of Lance M. Leslie 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 Lance M. Leslie. Lance M. Leslie 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.
Speer, Milton, et al.. (2024). Machine Learning Identification of Attributes and Predictors for a Flash Drought in Eastern Australia. Climate. 12(4). 49–49. 8 indexed citations
2.
Speer, Milton & Lance M. Leslie. (2023). Application of Machine Learning Techniques to Detect and Understand the Impacts of Global Warming on Southeast Australia. Georgetown journal of international affairs. 24(2). 260–266. 1 indexed citations
3.
Leslie, Lance M., et al.. (2023). Impact of Accelerated Climate Change on Maximum Temperature Differences between Western and Coastal Sydney. Climate. 11(4). 76–76. 9 indexed citations
4.
5.
Wang, Shuang, Lance M. Leslie, Tapan Rai, Milton Speer, & Yuriy Kuleshov. (2020). Analysis of a southerly buster event and associated solitary waves. Journal of Southern Hemisphere Earth System Science. 69(1). 205–215. 1 indexed citations
6.
Ren, Diandong & Lance M. Leslie. (2020). Climate warming enhancement of catastrophic southern California debris flows. Scientific Reports. 10(1). 10507–10507. 8 indexed citations
7.
Ren, Diandong, Rong Fu, Lance M. Leslie, et al.. (2011). A multirheology ice model: Formulation and application to the Greenland ice sheet. Journal of Geophysical Research Atmospheres. 116(D5). 23 indexed citations
8.
Stensrud, David J., et al.. (2007). A new latent heat flux parameterization for land surface models. 1 indexed citations
9.
Liu, Sheng, et al.. (2004). The effects of bushfires on hydrological processes using a paired-catchment analysis. Meteorology and Atmospheric Physics. 86(1-2). 31–44. 18 indexed citations
10.
Leslie, Lance M., et al.. (2002). Environmental Modelling and Prediction. 15 indexed citations
11.
Speer, Milton & Lance M. Leslie. (2002). The prediction of two cases of severe convection: implications for forecast guidance. Meteorology and Atmospheric Physics. 80(1-4). 165–175. 18 indexed citations
12.
Speer, Milton & Lance M. Leslie. (2000). Mesoscale model forecasting as a tool for air pollution management: a case study of sustained smoke pollution over the Greater Sydney area. Meteorological Applications. 7(2). 177–186. 1 indexed citations
13.
Leslie, Lance M. & Robert James Purser. (1995). Three-Dimensional Mass-Conserving Semi-Lagrangian Scheme Employing Forward Trajectories. Monthly Weather Review. 123(8). 2551–2566. 60 indexed citations
14.
Leslie, Lance M., Greg J. Holland, & Peter J. Webster. (1995). Introductory comments?Special issue on scale interactions in the tropics. Meteorology and Atmospheric Physics. 56(1-2). 1–1. 1 indexed citations
15.
Purser, Robert James & Lance M. Leslie. (1994). An Efficient Semi-Lagrangian Scheme Using Third-Order Semi-Implicit Time Integration and Forward Trajectories. Monthly Weather Review. 122(4). 745–756. 25 indexed citations
16.
Smith, William L., Lance M. Leslie, George R. Diak, et al.. (1988). The integration of meteorological satellite imagery and numerical dynamical forecast models. Philosophical Transactions of the Royal Society of London Series A Mathematical and Physical Sciences. 324(1579). 317–323. 12 indexed citations
17.
Leslie, Lance M.. (1979). On the Correct Formulation of Semi-Implicit Schemes for Grid-Point Models. Journal of the Meteorological Society of Japan Ser II. 57(5). 465–468.
18.
McGregor, John L., Lance M. Leslie, & David Gauntlett. (1978). The ANMRC Limited-Area Model: Consolidated Formulation and Operational Results. Monthly Weather Review. 106(4). 427–438. 21 indexed citations
19.
McAvaney, B. J. & Lance M. Leslie. (1972). Comments on “A Direct Solution of Poisson's Equation by Generalized Sweep-Out Method”. Journal of the Meteorological Society of Japan Ser II. 50(2). 136–137. 5 indexed citations
20.
Munro, R.K., et al.. (1970). A sustainable land use information system. WIT Transactions on Ecology and the Environment. 22. 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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