Steven Crimp

2.0k total citations
58 papers, 1.4k citations indexed

About

Steven Crimp is a scholar working on Ecology, Evolution, Behavior and Systematics, Global and Planetary Change and Ecology. According to data from OpenAlex, Steven Crimp has authored 58 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Ecology, Evolution, Behavior and Systematics, 23 papers in Global and Planetary Change and 11 papers in Ecology. Recurrent topics in Steven Crimp's work include Climate change impacts on agriculture (23 papers), Climate variability and models (18 papers) and Agriculture Sustainability and Environmental Impact (8 papers). Steven Crimp is often cited by papers focused on Climate change impacts on agriculture (23 papers), Climate variability and models (18 papers) and Agriculture Sustainability and Environmental Impact (8 papers). Steven Crimp collaborates with scholars based in Australia, Canada and United States. Steven Crimp's co-authors include Mark Howden, Philip Kokic, Rohan Nelson, Mohammad Alauddin, Holger Meinke, Md. Jahangir Kabir, Neville Nicholls, David Gobbett, Simon J. Mason and Huidong Jin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Ecological Economics and Global Environmental Change.

In The Last Decade

Steven Crimp

56 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Steven Crimp Australia 22 519 482 289 240 209 58 1.4k
Mike Rivington United Kingdom 20 499 1.0× 602 1.2× 348 1.2× 237 1.0× 215 1.0× 49 1.6k
Élodie Blanc United States 17 498 1.0× 453 0.9× 275 1.0× 319 1.3× 300 1.4× 35 1.7k
Sonia Quiroga Spain 23 379 0.7× 697 1.4× 306 1.1× 145 0.6× 212 1.0× 57 1.7k
H.T. van Velthuizen Austria 11 416 0.8× 348 0.7× 253 0.9× 225 0.9× 264 1.3× 25 1.3k
David Letson United States 23 490 0.9× 507 1.1× 157 0.5× 115 0.5× 264 1.3× 50 1.6k
Josef Schmidhuber Italy 13 652 1.3× 517 1.1× 531 1.8× 539 2.2× 428 2.0× 26 2.4k
Florian Zabel Germany 20 505 1.0× 752 1.6× 468 1.6× 434 1.8× 254 1.2× 36 1.9k
Harald Kächele Germany 28 537 1.0× 547 1.1× 329 1.1× 185 0.8× 494 2.4× 51 1.9k
Damien Jourdain France 16 274 0.5× 277 0.6× 402 1.4× 223 0.9× 334 1.6× 53 1.7k
Laurence Jassogne Uganda 27 404 0.8× 376 0.8× 445 1.5× 278 1.2× 317 1.5× 50 2.1k

Countries citing papers authored by Steven Crimp

Since Specialization
Citations

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

Fields of papers citing papers by Steven Crimp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steven Crimp

This figure shows the co-authorship network connecting the top 25 collaborators of Steven Crimp. A scholar is included among the top collaborators of Steven Crimp 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 Steven Crimp. Steven Crimp 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.
Lim‐Camacho, Lilly, et al.. (2025). A Bayesian insight into improving national food security. Food Security. 17(5). 1191–1206.
2.
Jin, Huidong, et al.. (2024). Probabilistic seasonal precipitation forecasts using quantiles of ensemble forecasts. Stochastic Environmental Research and Risk Assessment. 38(5). 2041–2063. 4 indexed citations
3.
4.
Marshall, Andrew G., et al.. (2024). Climate Driver Influences on Prediction of the Australian Fire Behaviour Index. Atmosphere. 15(2). 203–203. 3 indexed citations
5.
Marshall, Andrew G., et al.. (2024). Observed Associations between Fire Danger and Climate Modes and Their Representation in ACCESS-S2. Journal of Applied Meteorology and Climatology. 63(11). 1363–1383. 1 indexed citations
6.
Marshall, Andrew G., et al.. (2024). A Statistical Forecasting Model for Extremes of the Fire Behaviour Index in Australia. Atmosphere. 15(4). 470–470. 2 indexed citations
7.
Friedman, Rachel, et al.. (2023). Using social network analysis to track the evolution of Pacific food system research collaborations over time. Regional Environmental Change. 23(4). 2 indexed citations
8.
Crimp, Steven, et al.. (2023). Food systems in the face of climate change: reviewing the state of research in South Pacific Islands. Regional Environmental Change. 23(1). 3 indexed citations
9.
Marshall, Andrew G., et al.. (2023). Associations between Australian climate drivers and extreme weekly fire danger. International Journal of Wildland Fire. 33(1). 4 indexed citations
10.
Daniell, Katherine A., et al.. (2022). Facilitating learning for innovation in a climate-stressed context: insights from flash flood-affected rice farming in Bangladesh. The Journal of Agricultural Education and Extension. 29(4). 463–487. 11 indexed citations
11.
Friedman, Rachel, et al.. (2022). Designing Climate Information Services to Enhance Resilient Farming Activities: Lessons From Papua New Guinea. Frontiers in Climate. 4. 8 indexed citations
12.
Pittock, Jamie, et al.. (2020). Greenhouse gas implications of replacing fish protein with beef in the lower Mekong Basin. Asia Pacific Viewpoint. 61(2). 315–326. 3 indexed citations
13.
Daniell, Katherine A., et al.. (2020). How can agricultural extension and rural advisory services support agricultural innovation to adapt to climate change in the agriculture sector?. SHILAP Revista de lepidopterología. 1(1). 48–62. 12 indexed citations
14.
Crimp, Steven, Huidong Jin, Philip Kokic, K. Shuvo Bakar, & Neville Nicholls. (2018). Possible future changes in South East Australian frost frequency: an inter-comparison of statistical downscaling approaches. Climate Dynamics. 52(1-2). 1247–1262. 13 indexed citations
15.
Ariyawardana, A., et al.. (2018). Consumer Response to Climate Adaptation Strategies in the Food Sector: An Australian Scenario. Ecological Economics. 154. 383–393. 2 indexed citations
16.
Crimp, Steven, Neville Nicholls, Philip Kokic, et al.. (2017). Synoptic to large‐scale drivers of minimum temperature variability in Australia – long‐term changes. International Journal of Climatology. 38(S1). 7 indexed citations
18.
Nidumolu, Uday, Steven Crimp, David Gobbett, et al.. (2013). Spatio-temporal modelling of heat stress and climate change implications for the Murray dairy region, Australia. International Journal of Biometeorology. 58(6). 1095–1108. 23 indexed citations
19.
Heyhoe, Edwina, et al.. (2007). Adapting to climate change. eCite Digital Repository (University of Tasmania). 12 indexed citations
20.
Mason, Simon J., et al.. (1996). Review of seasonal forecasting techniques and their applicability to Southern Africa. Water SA. 22(3). 203–209. 45 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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