W. Alison Forster

1.2k total citations
42 papers, 872 citations indexed

About

W. Alison Forster is a scholar working on Plant Science, Computational Mechanics and Surfaces, Coatings and Films. According to data from OpenAlex, W. Alison Forster has authored 42 papers receiving a total of 872 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Plant Science, 12 papers in Computational Mechanics and 10 papers in Surfaces, Coatings and Films. Recurrent topics in W. Alison Forster's work include Plant Surface Properties and Treatments (33 papers), Fluid Dynamics and Heat Transfer (11 papers) and Surface Modification and Superhydrophobicity (10 papers). W. Alison Forster is often cited by papers focused on Plant Surface Properties and Treatments (33 papers), Fluid Dynamics and Heat Transfer (11 papers) and Surface Modification and Superhydrophobicity (10 papers). W. Alison Forster collaborates with scholars based in New Zealand, Australia and Belgium. W. Alison Forster's co-authors include Justin J. Nairn, J.A. Zabkiewicz, Scott W. McCue, R.E. Gaskin, G. J. Dorr, Jim Hanan, Mathieu Massinon, Frédéric Lebeau, John A. Belward and Ian Turner and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Frontiers in Plant Science and The Analyst.

In The Last Decade

W. Alison Forster

42 papers receiving 827 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
W. Alison Forster New Zealand 16 676 232 201 135 117 42 872
J.A. Zabkiewicz New Zealand 16 684 1.0× 153 0.7× 111 0.6× 101 0.7× 85 0.7× 62 937
G. J. Dorr Australia 13 585 0.9× 211 0.9× 75 0.4× 164 1.2× 41 0.4× 31 788
H. E. Ozkan United States 23 1.5k 2.2× 230 1.0× 91 0.5× 360 2.7× 97 0.8× 88 1.8k
P. C. H. Miller United Kingdom 17 865 1.3× 293 1.3× 38 0.2× 251 1.9× 51 0.4× 39 1.1k
M. C. B. Ellis United Kingdom 19 899 1.3× 285 1.2× 56 0.3× 291 2.2× 48 0.4× 50 1.1k
Mathieu Massinon Belgium 12 377 0.6× 230 1.0× 137 0.7× 137 1.0× 73 0.6× 28 539
Hans‐Jürgen Ensikat Germany 12 374 0.6× 56 0.2× 196 1.0× 50 0.4× 77 0.7× 18 767
R. C. Derksen United States 23 1.2k 1.8× 118 0.5× 30 0.1× 187 1.4× 38 0.3× 63 1.4k
D. L. Reichard United States 15 528 0.8× 141 0.6× 48 0.2× 132 1.0× 32 0.3× 52 653
C. R. Tuck United Kingdom 12 511 0.8× 213 0.9× 40 0.2× 207 1.5× 36 0.3× 25 623

Countries citing papers authored by W. Alison Forster

Since Specialization
Citations

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

Fields of papers citing papers by W. Alison Forster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by W. Alison Forster. 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 W. Alison Forster. The network helps show where W. Alison Forster may publish in the future.

Co-authorship network of co-authors of W. Alison Forster

This figure shows the co-authorship network connecting the top 25 collaborators of W. Alison Forster. A scholar is included among the top collaborators of W. Alison Forster 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 W. Alison Forster. W. Alison Forster 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.
Nairn, Justin J. & W. Alison Forster. (2022). Importance of adjuvant formulation properties in predicting wetting on leaf surfaces. Pest Management Science. 80(2). 212–219. 7 indexed citations
2.
Massinon, Mathieu, W. Alison Forster, J.A. Zabkiewicz, et al.. (2020). Image analysis of shatter and pinning events on hard‐to‐wet leaf surfaces by drops containing surfactant. Pest Management Science. 76(10). 3477–3486. 11 indexed citations
3.
Zabkiewicz, J.A., et al.. (2020). Simulating spray droplet impaction outcomes: comparison with experimental data. Pest Management Science. 76(10). 3469–3476. 13 indexed citations
4.
Nairn, Justin J. & W. Alison Forster. (2018). Due diligence required to quantify and visualise agrichemical spray deposits using dye tracers. Crop Protection. 115. 92–98. 9 indexed citations
5.
Farrell, Troy, et al.. (2018). Mathematical Modeling of Diffusion of a Hydrophilic Ionic Fertilizer in Plant Cuticles: Surfactant and Hygroscopic Effects. Frontiers in Plant Science. 9. 1888–1888. 9 indexed citations
6.
Massinon, Mathieu, W. Alison Forster, Justin J. Nairn, et al.. (2017). Spray droplet impaction outcomes for different plant species and spray formulations. Crop Protection. 99. 65–75. 116 indexed citations
7.
Farrell, Troy, et al.. (2017). Nonlinear Porous Diffusion Modeling of Hydrophilic Ionic Agrochemicals in Astomatous Plant Cuticle Aqueous Pores: A Mechanistic Approach. Frontiers in Plant Science. 8. 746–746. 18 indexed citations
8.
Dorr, G. J., W. Alison Forster, Scott W. McCue, et al.. (2016). Spray retention on whole plants: modelling, simulations and experiments. Crop Protection. 88. 118–130. 56 indexed citations
9.
McCue, Scott W., et al.. (2015). Simulating droplet motion on virtual leaf surfaces. Royal Society Open Science. 2(5). 140528–140528. 22 indexed citations
10.
Forster, W. Alison, et al.. (2014). Effect of target wettability on spray droplet adhesion retention spreading and coverage artificial collectors versus plant surfaces. Proceedings of the New Zealand Weed Control Conference. 67. 284–291. 14 indexed citations
11.
Nairn, Justin J., et al.. (2011). Quantification of physical (roughness) and chemical (dielectric constant) leaf surface properties relevant to wettability and adhesion. Pest Management Science. 67(12). 1562–1570. 47 indexed citations
12.
Pathan, Amin K., et al.. (2009). Fractal characterisation of plant canopies and application in spray retention modelling for arable crops and weeds. Weed Research. 49(4). 346–353. 2 indexed citations
13.
Forster, W. Alison, J.A. Zabkiewicz, & Markus Riederer. (2006). Mechanisms of Cuticular Uptake of Xenobiotics into Living Plants:  Evaluation of a Logistic−Kinetic Penetration Model. Journal of Agricultural and Food Chemistry. 54(8). 3025–3032. 7 indexed citations
16.
Forster, W. Alison, et al.. (1997). Contact phytotoxicity of triclopyr formulations on three plant species in relation to their uptake and translocation. Proceedings of the New Zealand Weed Control Conference. 50. 125–128. 5 indexed citations
17.
Forster, W. Alison & J.A. Zabkiewicz. (1994). Effect of an organosilicone surfactant on spray drop adhesion and retention by pea (<i>Pisum sativum</i>) leaf surfaces. Proceedings of the New Zealand Weed Control Conference. 47. 387–391. 1 indexed citations
18.
Forster, W. Alison, et al.. (1961). Colorimetric determination of copper with zinc OO-di-isopropyl phosphorodithioate. The Analyst. 86(1023). 407–407. 3 indexed citations
19.
Forster, W. Alison. (1953). The determination of magnesium in plant material by means of ethylenediaminetetra-acetic acid.. 78. 179–180. 3 indexed citations
20.
Forster, W. Alison. (1953). The determination of nickel in plant material in the presence of other metals.. 78. 560–562. 6 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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