Wies Cynkar

3.2k total citations
40 papers, 2.5k citations indexed

About

Wies Cynkar is a scholar working on Food Science, Analytical Chemistry and Biomedical Engineering. According to data from OpenAlex, Wies Cynkar has authored 40 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Food Science, 28 papers in Analytical Chemistry and 16 papers in Biomedical Engineering. Recurrent topics in Wies Cynkar's work include Fermentation and Sensory Analysis (33 papers), Spectroscopy and Chemometric Analyses (28 papers) and Advanced Chemical Sensor Technologies (16 papers). Wies Cynkar is often cited by papers focused on Fermentation and Sensory Analysis (33 papers), Spectroscopy and Chemometric Analyses (28 papers) and Advanced Chemical Sensor Technologies (16 papers). Wies Cynkar collaborates with scholars based in Australia and Italy. Wies Cynkar's co-authors include Daniel Cozzolino, Robert G. Dambergs, Mark Gishen, Paul A. Smith, Les Janik, Nor Nadiah Abdul Karim Shah, Mariola Kwiatkowski, C. Colby, Liang Liu and Mango Parker and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Food Chemistry and Analytica Chimica Acta.

In The Last Decade

Wies Cynkar

40 papers receiving 2.4k citations

Peers

Countries citing papers authored by Wies Cynkar

Since Specialization

Citations

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

Fields of papers citing papers by Wies Cynkar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wies Cynkar

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	In Situ Measurement of Soil Chemical Composition by Near-Infrared Spectroscopy: A Tool Toward Sustainable Vineyard Management 2013 ·Communications in Soil Science and Plant Analysis ·Daniel Cozzolino, Wies Cynkar, Robert G. Dambergs, Nor Nadiah Abdul Karim Shah, Paul A. Smith	36
2	Technical solutions for analysis of grape juice, must, and wine: the role of infrared spectroscopy and chemometrics 2011 ·Analytical and Bioanalytical Chemistry ·Daniel Cozzolino, Wies Cynkar, Nor Nadiah Abdul Karim Shah, Paul A. Smith	48
3	Discrimination between Shiraz Wines from Different Australian Regions: The Role of Spectroscopy and Chemometrics 2011 ·Journal of Agricultural and Food Chemistry ·(unknown), Wies Cynkar, Paolo Berzaghi, Daniel Cozzolino	52
4	Non-destructive measurement of grapevine water potential using near infrared spectroscopy 2010 ·Australian Journal of Grape and Wine Research ·Roberta De Bei, Daniel Cozzolino, Wendy Sullivan, Wies Cynkar, Sigfredo Fuentes, Robert G. Dambergs, J.M. Pech, Stephen D. Tyerman	91
5	Use of Attenuated Total Reflectance Midinfrared for Rapid and Real-Time Analysis of Compositional Parameters in Commercial White Grape Juice 2010 ·Journal of Agricultural and Food Chemistry ·(unknown), Wies Cynkar, Paul A. Smith, Daniel Cozzolino	51
6	Geographical origin of Sauvignon Blanc wines predicted by mass spectrometry and metal oxide based electronic nose 2009 ·Analytica Chimica Acta ·Amalia Z. Berna, Stephen Trowell, David Clifford, Wies Cynkar, Daniel Cozzolino	72
7	Classification of Tempranillo wines according to geographic origin: Combination of mass spectrometry based electronic nose and chemometrics 2009 ·Analytica Chimica Acta ·Wies Cynkar, Robert G. Dambergs, Paul A. Smith, Daniel Cozzolino	105
8	Relationship between wine scores and visible–near-infrared spectra of Australian red wines 2008 ·Analytical and Bioanalytical Chemistry ·Daniel Cozzolino, (unknown), Kate A. Lattey, Peter Godden, Wies Cynkar, Robert G. Dambergs, Les Janik, Mark Gishen	23
9	Near infrared spectroscopy as a rapid tool to measure volatile aroma compounds in Riesling wine: possibilities and limits 2008 ·Analytical and Bioanalytical Chemistry ·Heather E. Smyth, Daniel Cozzolino, Wies Cynkar, Robert G. Dambergs, Mark A. Sefton, Mark Gishen	65
10	Analysis of elements in wine using near infrared spectroscopy and partial least squares regression 2007 ·Talanta ·Daniel Cozzolino, Mariola Kwiatkowski, Robert G. Dambergs, Wies Cynkar, L. Janik, George K. Skouroumounis, Mark Gishen	105
11	Use of direct headspace-mass spectrometry coupled with chemometrics to predict aroma properties in Australian Riesling wine 2007 ·Analytica Chimica Acta ·Daniel Cozzolino, Heather E. Smyth, Wies Cynkar, Les Janik, Robert G. Dambergs, Mark Gishen	20
12	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 2007 ·Sensors and Actuators B Chemical ·Wies Cynkar, Daniel Cozzolino, Robert G. Dambergs, Les Janik, Mark Gishen	44
13	The prediction of total anthocyanin concentration in red-grape homogenates using visible-near-infrared spectroscopy and artificial neural networks 2007 ·Analytica Chimica Acta ·Les Janik, Daniel Cozzolino, Robert G. Dambergs, Wies Cynkar, Mark Gishen	103
14	Effect of temperature variation on the visible and near infrared spectra of wine and the consequences on the partial least square calibrations developed to measure chemical composition 2007 ·Analytica Chimica Acta ·Daniel Cozzolino, Liang Liu, Wies Cynkar, Robert G. Dambergs, L. Janik, C. Colby, Mark Gishen	77
15	Geographic Classification of Spanish and Australian Tempranillo Red Wines by Visible and Near-Infrared Spectroscopy Combined with Multivariate Analysis 2006 ·Journal of Agricultural and Food Chemistry ·Liang Liu, Daniel Cozzolino, Wies Cynkar, Mark Gishen, C. Colby	111
16	Combining mass spectrometry based electronic nose, visible–near infrared spectroscopy and chemometrics to assess the sensory properties of Australian Riesling wines 2005 ·Analytica Chimica Acta ·Daniel Cozzolino, Heather E. Smyth, Kate A. Lattey, Wies Cynkar, Les Janik, Robert G. Dambergs, I. Leigh Francis, Mark Gishen	42
17	Usefulness of chemometrics and mass spectrometry-based electronic nose to classify Australian white wines by their varietal origin 2005 ·Talanta ·Daniel Cozzolino, Heather E. Smyth, Wies Cynkar, Robert G. Dambergs, Mark Gishen	61
18	Prediction of colour and pH in grapes using a diode array spectrophotometer (400–1100 nm) 2004 ·Queensland's institutional digital repository (The University of Queensland) ·Daniele Cozzolino, Mark Gishen, Robert G. Dambergs, Wies Cynkar, Daniela Boehm, I. Leigh Francis, P. B. Høj	1
19	Prediction of phenolic compounds in red wine fermentations by visible and near infrared spectroscopy 2003 ·Analytica Chimica Acta ·Daniel Cozzolino, Mariola Kwiatkowski, Mango Parker, Wies Cynkar, Robert G. Dambergs, Mark Gishen, Markus Herderich	279
20	Optimisation of methods for the determination of total and red-free glycosyl glucose in black grape berries of Vitis vinifera 1996 ·Australian Journal of Grape and Wine Research ·Patrick G. Iland, Wies Cynkar, I. Leigh Francis, Patrick J. Williams, B. G. Coombe	63

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.

Explore authors with similar magnitude of impact