Les Janik

4.4k total citations · 2 hit papers
26 papers, 3.4k citations indexed

About

Les Janik is a scholar working on Analytical Chemistry, Environmental Engineering and Food Science. According to data from OpenAlex, Les Janik has authored 26 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Analytical Chemistry, 10 papers in Environmental Engineering and 10 papers in Food Science. Recurrent topics in Les Janik's work include Spectroscopy and Chemometric Analyses (11 papers), Soil Geostatistics and Mapping (10 papers) and Fermentation and Sensory Analysis (9 papers). Les Janik is often cited by papers focused on Spectroscopy and Chemometric Analyses (11 papers), Soil Geostatistics and Mapping (10 papers) and Fermentation and Sensory Analysis (9 papers). Les Janik collaborates with scholars based in Australia, Austria and Spain. Les Janik's co-authors include Raphael A. Viscarra Rossel, D.J.J. Walvoort, Alex B. McBratney, JO Skjemstad, Mike J. McLaughlin, José M. Soriano‐Disla, Lynne M. Macdonald, Daniel Cozzolino, Wies Cynkar and Mark Gishen and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Food Chemistry and Environmental Pollution.

In The Last Decade

Les Janik

26 papers receiving 3.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Visible, near infrared, mid infrared or combined diffuse reflectance spectroscopy for simultaneous assessment of various soil properties

2005 1.6k citations Raphael A. Viscarra Rossel, Les Janik et al. profile →
The Performance of Visible, Near-, and Mid-Infrared Reflectance Spectroscopy for Prediction of Soil Physical, Chemical, and Biological Properties

2013 610 citations José M. Soriano‐Disla, Les Janik et al. Applied Spectroscopy Reviews profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Les Janik Australia	20	2.2k	1.4k	1.2k	692	495	26	3.4k
James B. Reeves United States	38	2.0k 0.9×	1.3k 0.9×	1.3k 1.1×	1.5k 2.2×	733 1.5×	137	4.8k
Bo Stenberg Sweden	30	1.3k 0.6×	717 0.5×	483 0.4×	1.1k 1.7×	589 1.2×	59	2.7k
Marcos Rafael Nanni Brazil	25	1.1k 0.5×	651 0.5×	631 0.5×	373 0.5×	826 1.7×	137	2.3k
Michael Vohland Germany	27	1.5k 0.7×	753 0.5×	747 0.6×	335 0.5×	747 1.5×	72	2.4k
Said Nawar Belgium	19	1.1k 0.5×	729 0.5×	583 0.5×	170 0.2×	319 0.6×	30	1.6k
Asa Gholizadeh Czechia	27	1.4k 0.7×	988 0.7×	483 0.4×	357 0.5×	806 1.6×	71	2.4k
Bhabani S. Das India	30	1.0k 0.5×	391 0.3×	324 0.3×	477 0.7×	256 0.5×	98	2.3k
Raphael Linker Israel	30	441 0.2×	216 0.2×	489 0.4×	427 0.6×	409 0.8×	131	2.9k
B. Palagos France	9	556 0.3×	384 0.3×	509 0.4×	163 0.2×	178 0.4×	17	1.2k
J. W. Hummel United States	19	1.0k 0.5×	284 0.2×	223 0.2×	423 0.6×	357 0.7×	40	1.9k

Countries citing papers authored by Les Janik

Since Specialization

Citations

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

Fields of papers citing papers by Les Janik

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Les Janik

This figure shows the co-authorship network connecting the top 25 collaborators of Les Janik. A scholar is included among the top collaborators of Les Janik 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 Les Janik. Les Janik 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

Mason, Sean, et al.. (2021). Application of visible near-infrared absorbance spectroscopy for the determination of Soil pH and liming requirements for broad-acre agriculture. Precision Agriculture. 23(1). 194–218. 18 indexed citations

Navarro, Divina A., et al.. (2020). Potential Application of Laser‐Induced Breakdown Spectroscopy (LIBS) Data for the Determination of Cation Exchange Capacity (CEC) of Agricultural Soils. ChemistrySelect. 5(13). 3798–3804. 4 indexed citations

McLaughlin, Mike J., et al.. (2015). Complexation of silver and dissolved organic matter in soil water extracts. Environmental Pollution. 199. 174–184. 22 indexed citations

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

Soriano‐Disla, José M., Les Janik, Raphael A. Viscarra Rossel, Lynne M. Macdonald, & Mike J. McLaughlin. (2013). The Performance of Visible, Near-, and Mid-Infrared Reflectance Spectroscopy for Prediction of Soil Physical, Chemical, and Biological Properties. Applied Spectroscopy Reviews. 49(2). 139–186. 610 indexed citations breakdown →

Janik, Les, et al.. (2012). Data evaluation of tar oil degradation using comprehensive GC²/ MS: individual compounds and principal component analysis. Journal of Chemical Technology & Biotechnology. 87(9). 1237–1245. 11 indexed citations

D’Acqui, Luigi Paolo, et al.. (2010). Soil properties prediction of western Mediterranean islands with similar climatic environments by means of mid‐infrared diffuse reflectance spectroscopy. European Journal of Soil Science. 61(6). 865–876. 71 indexed citations

Forrester, S., et al.. (2009). Influence of the nature of soil organic matter on the sorption behaviour of pentadecane as determined by PLS analysis of mid-infrared DRIFT and solid-state 13C NMR spectra. Environmental Pollution. 158(1). 285–291. 25 indexed citations

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

10.

Cozzolino, Daniel, Kate A. Lattey, Peter Godden, et al.. (2008). Relationship between wine scores and visible–near-infrared spectra of Australian red wines. Analytical and Bioanalytical Chemistry. 391(3). 975–981. 23 indexed citations

11.

Cynkar, Wies, Daniel Cozzolino, Robert G. Dambergs, Les Janik, & Mark Gishen. (2008). The effects of homogenisation method and freezing on the determination of quality parameters in red grape berries of Vitis vinifera. Australian Journal of Grape and Wine Research. 10(3). 236–242. 21 indexed citations

12.

Kookana, Rai S., et al.. (2008). Prediction of Atrazine Sorption Coefficients in Soils Using Mid-Infrared Spectroscopy and Partial Least-Squares Analysis. Journal of Agricultural and Food Chemistry. 56(9). 3208–3213. 16 indexed citations

13.

Klimpel, A., et al.. (2007). Study of laser welding of copper sheets. Journal of Achievements of Materials and Manufacturing Engineering. 20. 467–470. 12 indexed citations

14.

Cozzolino, Daniel, Heather E. Smyth, Wies Cynkar, et al.. (2007). Use of direct headspace-mass spectrometry coupled with chemometrics to predict aroma properties in Australian Riesling wine. Analytica Chimica Acta. 621(1). 2–7. 20 indexed citations

15.

Cynkar, Wies, Daniel Cozzolino, Robert G. Dambergs, Les Janik, & Mark Gishen. (2007). Feasibility study on the use of a head space mass spectrometry electronic nose (MS e_nose) to monitor red wine spoilage induced by Brettanomyces yeast. Sensors and Actuators B Chemical. 124(1). 167–171. 44 indexed citations

16.

Janik, Les, Daniel Cozzolino, Robert G. Dambergs, Wies Cynkar, & Mark Gishen. (2007). The prediction of total anthocyanin concentration in red-grape homogenates using visible-near-infrared spectroscopy and artificial neural networks. Analytica Chimica Acta. 594(1). 107–118. 103 indexed citations

17.

Liu, Liang, Daniel Cozzolino, Wies Cynkar, et al.. (2007). Preliminary study on the application of visible–near infrared spectroscopy and chemometrics to classify Riesling wines from different countries. Food Chemistry. 106(2). 781–786. 100 indexed citations

18.

Cynkar, Wies, Daniel Cozzolino, Robert G. Dambergs, Les Janik, & Mark Gishen. (2007). Effect of variety, vintage and winery on the prediction by visible and near infrared spectroscopy of the concentration of glycosylated compounds (G-G) in white grape juice. Australian Journal of Grape and Wine Research. 13(2). 101–105. 8 indexed citations

19.

Cozzolino, Daniel, Robert G. Dambergs, Les Janik, Wies Cynkar, & Mark Gishen. (2006). Analysis of Grapes and Wine by near Infrared Spectroscopy. Journal of Near Infrared Spectroscopy. 14(5). 279–289. 144 indexed citations

20.

Cozzolino, Daniel, Heather E. Smyth, Kate A. Lattey, et al.. (2005). Combining mass spectrometry based electronic nose, visible–near infrared spectroscopy and chemometrics to assess the sensory properties of Australian Riesling wines. Analytica Chimica Acta. 563(1-2). 319–324. 42 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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