S. Forrester

1.7k total citations
26 papers, 829 citations indexed

About

S. Forrester is a scholar working on Environmental Engineering, Artificial Intelligence and Analytical Chemistry. According to data from OpenAlex, S. Forrester has authored 26 papers receiving a total of 829 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Environmental Engineering, 10 papers in Artificial Intelligence and 7 papers in Analytical Chemistry. Recurrent topics in S. Forrester's work include Soil Geostatistics and Mapping (18 papers), Geochemistry and Geologic Mapping (10 papers) and Spectroscopy and Chemometric Analyses (7 papers). S. Forrester is often cited by papers focused on Soil Geostatistics and Mapping (18 papers), Geochemistry and Geologic Mapping (10 papers) and Spectroscopy and Chemometric Analyses (7 papers). S. Forrester collaborates with scholars based in Australia, Spain and Norway. S. Forrester's co-authors include Les Janik, Andrew Rawson, José M. Soriano‐Disla, Mike J. McLaughlin, L. Janik, Rai S. Kookana, David J. Chittleborough, R. H. Merry, Steven A. Wakelin and Roger Armstrong and has published in prestigious journals such as Environmental Science & Technology, The Science of The Total Environment and Journal of Hazardous Materials.

In The Last Decade

S. Forrester

26 papers receiving 810 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. Forrester Australia 17 398 252 238 204 126 26 829
Yi Peng China 18 307 0.8× 184 0.7× 249 1.0× 105 0.5× 83 0.7× 38 778
Sharon O’Rourke Ireland 13 437 1.1× 293 1.2× 284 1.2× 148 0.7× 81 0.6× 22 874
José M. Soriano‐Disla Spain 16 738 1.9× 499 2.0× 297 1.2× 368 1.8× 89 0.7× 36 1.3k
Jie Xue China 17 460 1.2× 241 1.0× 167 0.7× 127 0.6× 39 0.3× 33 1.1k
Ricardo Simão Diniz Dalmolin Brazil 19 736 1.8× 443 1.8× 686 2.9× 252 1.2× 81 0.6× 97 1.5k
Shovik Deb India 18 249 0.6× 212 0.8× 162 0.7× 70 0.3× 48 0.4× 43 868
Laura Paulette Romania 12 296 0.7× 334 1.3× 107 0.4× 92 0.5× 33 0.3× 25 678
Aakriti Sharma United States 9 441 1.1× 353 1.4× 154 0.6× 122 0.6× 38 0.3× 15 685
Michael Scott Demyan Germany 20 296 0.7× 128 0.5× 749 3.1× 66 0.3× 168 1.3× 42 1.2k
Yuanda Zhu United States 14 412 1.0× 394 1.6× 155 0.7× 95 0.5× 21 0.2× 19 746

Countries citing papers authored by S. Forrester

Since Specialization
Citations

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

Fields of papers citing papers by S. Forrester

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Forrester

This figure shows the co-authorship network connecting the top 25 collaborators of S. Forrester. A scholar is included among the top collaborators of S. Forrester 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 S. Forrester. S. Forrester 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.
Janik, L., José M. Soriano‐Disla, & S. Forrester. (2020). Feasibility of handheld mid-infrared spectroscopy to predict particle size distribution: influence of soil field condition and utilisation of existing spectral libraries. Soil Research. 58(6). 528–539. 15 indexed citations
2.
Wakelin, Steven A., S. Forrester, Leo M. Condron, et al.. (2020). Protecting the unseen majority: Land cover and environmental factors linked with soil bacterial communities and functions in New Zealand. New Zealand Journal of Ecology. 4 indexed citations
3.
Soriano‐Disla, José M., et al.. (2018). The use of mid-infrared diffuse reflectance spectroscopy for acid sulfate soil analysis. The Science of The Total Environment. 646. 1489–1502. 12 indexed citations
4.
Soriano‐Disla, José M., et al.. (2016). Rapid prediction of total petroleum hydrocarbons in soil using a hand-held mid-infrared field instrument. Talanta. 160. 410–416. 24 indexed citations
5.
Janik, L., José M. Soriano‐Disla, S. Forrester, & Mike J. McLaughlin. (2016). Moisture effects on diffuse reflection infrared spectra of contrasting minerals and soils: A mechanistic interpretation. Vibrational Spectroscopy. 86. 244–252. 27 indexed citations
6.
Cunningham, Laura, John Tibby, S. Forrester, Cameron Barr, & J. O. Skjemstad. (2016). Mid-Infrared Spectroscopy as a Potential Tool for Reconstructing Lake Salinity. Water. 8(11). 479–479. 4 indexed citations
7.
Forrester, S., Les Janik, José M. Soriano‐Disla, et al.. (2015). Use of handheld mid-infrared spectroscopy and partial least-squares regression for the prediction of the phosphorus buffering index in Australian soils. Soil Research. 53(1). 67–80. 23 indexed citations
8.
9.
Janik, L., et al.. (2014). GEMAS: Prediction of solid-solution partitioning coefficients (Kd) for cationic metals in soils using mid-infrared diffuse reflectance spectroscopy. Environmental Toxicology and Chemistry. 34(2). 224–234. 6 indexed citations
10.
Soriano‐Disla, José M., L. Janik, Mike J. McLaughlin, et al.. (2013). Prediction of the concentration of chemical elements extracted by aqua regia in agricultural and grazing European soils using diffuse reflectance mid-infrared spectroscopy. Applied Geochemistry. 39. 33–42. 15 indexed citations
11.
Cozzolino, Daniel, Ronald J. Smernik, Jeff Baldock, et al.. (2013). Using the power of C-13 NMR to interpret infrared spectra of soil organic matter: A two-dimensional correlation spectroscopy approach. Vibrational Spectroscopy. 66. 76–82. 14 indexed citations
12.
Wakelin, Steven A., Lynne M. Macdonald, Maureen O’Callaghan, S. Forrester, & Leo M. Condron. (2013). Soil functional resistance and stability are linked to different ecosystem properties. Austral Ecology. 39(5). 522–531. 18 indexed citations
13.
Oliver, Danielle P., Bertram Ostendorf, S. Forrester, et al.. (2012). Spatial distribution of diuron sorption affinity as affected by soil, terrain and management practices in an intensively managed apple orchard. Journal of Hazardous Materials. 217-218. 398–405. 8 indexed citations
14.
Soriano‐Disla, José M., L. Janik, Mike J. McLaughlin, et al.. (2012). The use of diffuse reflectance mid-infrared spectroscopy for the prediction of the concentration of chemical elements estimated by X-ray fluorescence in agricultural and grazing European soils. Applied Geochemistry. 29. 135–143. 32 indexed citations
15.
Oliver, Danielle P., S. Forrester, David J. Chittleborough, et al.. (2012). The effect of terrain and management on the spatial variability of soil properties in an apple orchard. CATENA. 93. 38–48. 78 indexed citations
16.
17.
Janik, Les, S. Forrester, & Andrew Rawson. (2009). The prediction of soil chemical and physical properties from mid-infrared spectroscopy and combined partial least-squares regression and neural networks (PLS-NN) analysis. Chemometrics and Intelligent Laboratory Systems. 97(2). 179–188. 119 indexed citations
18.
Cozzolino, Daniel, et al.. (2009). Direct Comparison between Visible Near- and Mid-Infrared Spectroscopy for Describing Diuron Sorption in Soils. Environmental Science & Technology. 43(11). 4049–4055. 31 indexed citations
19.
Kookana, Rai S., et al.. (2008). Midinfrared Spectroscopy and Chemometrics to Predict Diuron Sorption Coefficients in Soils. Environmental Science & Technology. 42(9). 3283–3288. 27 indexed citations
20.
Lombi, Enzo, Kirk G. Scheckel, Roger Armstrong, et al.. (2006). Speciation and Distribution of Phosphorus in a Fertilized Soil. Soil Science Society of America Journal. 70(6). 2038–2048. 94 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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