F. Evans

747 total citations
45 papers, 419 citations indexed

About

F. Evans is a scholar working on Environmental Engineering, Artificial Intelligence and Ecology. According to data from OpenAlex, F. Evans has authored 45 papers receiving a total of 419 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Environmental Engineering, 10 papers in Artificial Intelligence and 9 papers in Ecology. Recurrent topics in F. Evans's work include Soil Geostatistics and Mapping (16 papers), Remote Sensing in Agriculture (8 papers) and Geochemistry and Geologic Mapping (6 papers). F. Evans is often cited by papers focused on Soil Geostatistics and Mapping (16 papers), Remote Sensing in Agriculture (8 papers) and Geochemistry and Geologic Mapping (6 papers). F. Evans collaborates with scholars based in Australia, United Kingdom and United States. F. Evans's co-authors include Peter Caccetta, Katrina Spilsbury, Jianhong Xia, Vic Ciesielski, G. Ernest Wright, Colin Arrowsmith, Kefei Chen, Rebecca A. O’Leary, Harri Kiiveri and Juan M. Zolezzi and has published in prestigious journals such as IEEE Transactions on Automatic Control, Gut and IEEE Transactions on Power Systems.

In The Last Decade

F. Evans

40 papers receiving 378 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
F. Evans Australia	12	105	95	82	55	53	45	419
Carolynne Hultquist United States	12	84 0.8×	99 1.0×	83 1.0×	26 0.5×	277 5.2×	29	574
Shipeng Sun United States	10	70 0.7×	81 0.9×	52 0.6×	43 0.8×	168 3.2×	24	500
Juan Carlos Laso Bayas Austria	15	130 1.2×	278 2.9×	62 0.8×	35 0.6×	289 5.5×	32	688
Jiqiang Niu China	15	65 0.6×	81 0.9×	25 0.3×	132 2.4×	207 3.9×	53	600
Sigrid Hehl‐Lange United Kingdom	10	103 1.0×	76 0.8×	70 0.9×	97 1.8×	283 5.3×	14	596
Yang China	12	59 0.6×	30 0.3×	27 0.3×	81 1.5×	58 1.1×	122	522
Haipeng Niu China	14	85 0.8×	99 1.0×	36 0.4×	139 2.5×	238 4.5×	46	712
Trevor Harris United States	8	39 0.4×	42 0.4×	68 0.8×	15 0.3×	120 2.3×	28	500

Countries citing papers authored by F. Evans

Since Specialization

Citations

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

Fields of papers citing papers by F. Evans

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of F. Evans

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

All Works

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20 of 20 papers shown

Evans, F., et al.. (2021). Spatially Weighted Estimation of Broadacre Crop Growth Improves Gap-Filling of Landsat NDVI. Remote Sensing. 13(11). 2128–2128. 1 indexed citations

Evans, F., et al.. (2020). Assessment of the Use of Geographically Weighted Regression for Analysis of Large On-Farm Experiments and Implications for Practical Application. Agronomy. 10(11). 1720–1720. 22 indexed citations

Diepeveen, Dean, et al.. (2019). Using big data to predict the likelihood of low falling numbers in wheat. Cereal Chemistry. 96(3). 411–420. 4 indexed citations

Cook, Simón, et al.. (2018). An On-Farm experimental philosophy for farmer-centric digital innovation. Murdoch Research Repository (Murdoch University). 7 indexed citations

Evans, F., et al.. (2011). Fast dispersal simulation using bivariate quantiles. Chan, F., Marinova, D. and Anderssen, R.S. (eds) MODSIM2011, 19th International Congress on Modelling and Simulation.. 1 indexed citations

Bennett, James, Art Diggle, F. Evans, & Michael Renton. (2011). Towards measures of the eradicability of rain-splashed crop diseases. Chan, F., Marinova, D. and Anderssen, R.S. (eds) MODSIM2011, 19th International Congress on Modelling and Simulation.. 1 indexed citations

Evans, F., Art Diggle, & Michael Renton. (2007). Modelling the effects of farm management on the spread of herbicide resistance. Murdoch Research Repository (Murdoch University). 3 indexed citations

Dichmont, C.M., Rob Kenyon, Charis Y. Burridge, et al.. (2005). An integrated monitoring program for the Northern Prawn Fishery: Assessing the design and developing techniques to incorporate survey results into fishery assessment. Murdoch Research Repository (Murdoch University). 1 indexed citations

Evans, F., et al.. (2003). Determining the Number of Clusters in a Mixture by Iterative Model Space Refinement - with Application to Free-swimming Fish Detection. UWA Profiles and Research Repository (University of Western Australia). 79–88. 3 indexed citations

10.

Evans, F.. (2001). Mapping salinity in the Mt Barker Landsat TM Scene. Murdoch Research Repository (Murdoch University).

11.

Campbell, N. A., Richard J George, Tom Hatton, et al.. (2000). Using natural resource inventory data to improve the management of dryland salinity in the Great Southern, Western Australia. Murdoch Research Repository (Murdoch University). 9 indexed citations

12.

Caccetta, Peter, Ian Watson, N. A. Campbell, et al.. (2000). The Land Monitor Project. Murdoch Research Repository (Murdoch University). 23 indexed citations

13.

Evans, F.. (2000). Land Monitor salinity risk prediction Dumbleyung and Mt Barker regions. Murdoch Research Repository (Murdoch University). 2 indexed citations

14.

Evans, F. & Peter Caccetta. (2000). Salinity risk prediction using Landsat TM and DEM-derived data. Murdoch Research Repository (Murdoch University). 4 indexed citations

15.

Furby, Suzanne, et al.. (1998). Collecting ground truth data for salinity mapping and monitoring. Murdoch Research Repository (Murdoch University). 3 indexed citations

16.

Evans, F., Harri Kiiveri, Geoff West, & Mark Gahegan. (1998). Mapping Salinity Using Decision Trees and Conditional Probabilistic Networks. Murdoch Research Repository (Murdoch University). 1 indexed citations

17.

Evans, F.. (1998). Statistical Methods in Remote Sensing. Murdoch Research Repository (Murdoch University). 2 indexed citations

18.

Evans, F., Peter Caccetta, & R Ferdowsian. (1996). Integrating Remotely Sensed Data With Other Spatial Data Sets To Predict Areas At Risk From Salinity. Murdoch Research Repository (Murdoch University). 11 indexed citations

19.

Evans, F., R Ferdowsian, & N. A. Campbell. (1996). Predicting salinity in the Wadjekanup and Byenup Hill catchments. Murdoch Research Repository (Murdoch University). 1 indexed citations

20.

Charnley, RM, Michael K. Stehling, F. Evans, et al.. (1988). The British Society of Gastroenterology, 49th meeting. Sheffield, 14-16 September 1988. Abstracts.. Gut. 29(10). A1429–A1496. 3 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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