Roger Lawes

2.0k total citations
91 papers, 1.5k citations indexed

About

Roger Lawes is a scholar working on Plant Science, Ecology, Evolution, Behavior and Systematics and Agronomy and Crop Science. According to data from OpenAlex, Roger Lawes has authored 91 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Plant Science, 36 papers in Ecology, Evolution, Behavior and Systematics and 33 papers in Agronomy and Crop Science. Recurrent topics in Roger Lawes's work include Climate change impacts on agriculture (31 papers), Pasture and Agricultural Systems (17 papers) and Remote Sensing in Agriculture (15 papers). Roger Lawes is often cited by papers focused on Climate change impacts on agriculture (31 papers), Pasture and Agricultural Systems (17 papers) and Remote Sensing in Agriculture (15 papers). Roger Lawes collaborates with scholars based in Australia, Ireland and United Kingdom. Roger Lawes's co-authors include M. J. Robertson, F. D. Panetta, Andrew Fletcher, Yvette Oliver, R. G. V. Bramley, Michael Renton, Rick Llewellyn, R. J. Lawn, Roger Mandel and Chao Chen and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Remote Sensing of Environment.

In The Last Decade

Roger Lawes

87 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Roger Lawes Australia 23 717 422 403 392 302 91 1.5k
Damien Beillouin France 14 508 0.7× 271 0.6× 401 1.0× 264 0.7× 519 1.7× 25 1.5k
Stefan Hauser Nigeria 23 743 1.0× 356 0.8× 417 1.0× 256 0.7× 836 2.8× 120 2.1k
J.N.G. Hargreaves Australia 14 776 1.1× 641 1.5× 490 1.2× 184 0.5× 413 1.4× 21 1.6k
N. de Ridder Netherlands 23 435 0.6× 465 1.1× 365 0.9× 332 0.8× 622 2.1× 55 1.8k
David Gobbett Australia 17 572 0.8× 445 1.1× 313 0.8× 266 0.7× 176 0.6× 33 1.1k
Mitchell C. Hunter United States 16 781 1.1× 168 0.4× 587 1.5× 257 0.7× 552 1.8× 31 1.6k
Marie-Hélène Jeuffroy France 22 1.5k 2.0× 208 0.5× 929 2.3× 317 0.8× 377 1.2× 45 2.0k
J. Wéry France 21 841 1.2× 225 0.5× 361 0.9× 129 0.3× 230 0.8× 32 1.6k
Armen R. Kemanian United States 29 1.0k 1.4× 429 1.0× 832 2.1× 362 0.9× 1.0k 3.4× 72 2.5k
Valentín Picasso United States 20 263 0.4× 199 0.5× 567 1.4× 466 1.2× 171 0.6× 61 1.3k

Countries citing papers authored by Roger Lawes

Since Specialization
Citations

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

Fields of papers citing papers by Roger Lawes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roger Lawes

This figure shows the co-authorship network connecting the top 25 collaborators of Roger Lawes. A scholar is included among the top collaborators of Roger Lawes 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 Roger Lawes. Roger Lawes 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.
Lawes, Roger, et al.. (2025). Contrasting trends in wheat production exist across Australia in response to climate. European Journal of Agronomy. 171. 127785–127785.
2.
Thomas, D., et al.. (2025). Hard-seeded annual pasture legume phases are a profitable and low risk option in mixed farming regions with low to medium rainfall. Agricultural Systems. 226. 104302–104302. 1 indexed citations
3.
He, Di, Enli Wang, John A. Kirkegaard, et al.. (2024). Usefulness of techniques to measure and model crop growth and yield at different spatial scales. Field Crops Research. 309. 109332–109332. 3 indexed citations
4.
Colaço, André Freitas, B. M. Whelan, R. G. V. Bramley, et al.. (2024). Digital strategies for nitrogen management in grain production systems: lessons from multi-method assessment using on-farm experimentation. Precision Agriculture. 25(2). 983–1013. 5 indexed citations
5.
Bramley, R. G. V., Eileen M. Perry, Jonathan Richetti, et al.. (2024). Within-field extrapolation away from a soil moisture probe using freely available satellite imagery and weather data. Precision Agriculture. 25(4). 1877–1893. 3 indexed citations
6.
Kuhnert, Petra, Roger Lawes, Luigi J. Renzullo, et al.. (2023). Decoupling crop production from water consumption at some irrigation schemes in southern Africa. Agricultural Water Management. 284. 108358–108358. 7 indexed citations
7.
8.
Kuhnert, Petra, et al.. (2023). Rapid monitoring of cropland primary productivity and shipping activity in Ukraine. PLoS ONE. 18(6). e0286637–e0286637. 3 indexed citations
9.
Lawes, Roger, Zvi Hochman, Emma Jakku, et al.. (2022). Graincast™: monitoring crop production across the Australian grainbelt. Crop and Pasture Science. 74(6). 509–523. 7 indexed citations
10.
Chen, Chao, Bin Wang, Puyu Feng, et al.. (2020). The shifting influence of future water and temperature stress on the optimal flowering period for wheat in Western Australia. The Science of The Total Environment. 737. 139707–139707. 30 indexed citations
11.
12.
Ramankutty, P., Megan H. Ryan, Roger Lawes, Jane Speijers, & Michael Renton. (2012). Statistical emulators of a plant growth simulation model. Climate Research. 55(3). 253–265. 5 indexed citations
13.
Lawes, Roger, et al.. (2008). Optimal frequency for woody weed management for North Queensland grazing properties: an economic perspective.. 415–417. 1 indexed citations
14.
Lawes, Roger, J. Wallace, Christopher Preston, J. H. Watts, & N. D. Crossman. (2006). Using temporal sequences of LandsatTM imagery to detect trends in Acacia nilotica in the Mitchell grass plains.. 474–476. 1 indexed citations
15.
Cacho, Oscar J., et al.. (2006). A matrix model for the management of perennial weeds in the North Queensland rangelands system: application to Ziziphus mauritiana (Lam.).. 671–674. 2 indexed citations
16.
Lawes, Roger, et al.. (2006). Using networks to understand source and sink relationships to manage weeds in a riparian zone.. 466–469. 3 indexed citations
17.
Lawes, Roger & R. J. Lawn. (2005). Applications of industry information in sugarcane production systems. Field Crops Research. 92(2-3). 353–363. 22 indexed citations
18.
Lawes, Roger, et al.. (2003). A multivariate evaluation of sugarcane farm performance over time based on yield and commercial cane sugar.. 1 indexed citations
19.
Lawes, Roger, Malcolm K. Wegener, R. J. Lawn, & K. E. Basford. (2001). Insights into production characteristics of cane yield and trends in CCS gained from investigations into commercial block productivity data. Queensland's institutional digital repository (The University of Queensland). 2. 145–147. 1 indexed citations
20.
Lawes, Roger, Malcolm K. Wegener, K. E. Basford, & R. J. Lawn. (2000). Commercial cane sugar trends in the Tully sugar district. Australian Journal of Experimental Agriculture. 40(7). 969–973. 9 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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