Jan Gerretzen

1.6k total citations · 2 hit papers
17 papers, 1.3k citations indexed

About

Jan Gerretzen is a scholar working on Analytical Chemistry, Molecular Biology and Industrial and Manufacturing Engineering. According to data from OpenAlex, Jan Gerretzen has authored 17 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Analytical Chemistry, 7 papers in Molecular Biology and 5 papers in Industrial and Manufacturing Engineering. Recurrent topics in Jan Gerretzen's work include Spectroscopy and Chemometric Analyses (10 papers), Metabolomics and Mass Spectrometry Studies (7 papers) and Water Quality Monitoring and Analysis (5 papers). Jan Gerretzen is often cited by papers focused on Spectroscopy and Chemometric Analyses (10 papers), Metabolomics and Mass Spectrometry Studies (7 papers) and Water Quality Monitoring and Analysis (5 papers). Jan Gerretzen collaborates with scholars based in Netherlands, United Kingdom and Italy. Jan Gerretzen's co-authors include L.M.C. Buydens, Ewa Szymańska, Jeroen J. Jansen, Lionel Blanchet, Jasper Engel, Gérard Downey, Elena Marchiori, Twan van Laarhoven, Thanh N. Tran and Henk‐Jan van Manen and has published in prestigious journals such as Analytical Chemistry, Industrial & Engineering Chemistry Research and Analytica Chimica Acta.

In The Last Decade

Jan Gerretzen

17 papers receiving 1.3k citations

Hit Papers

Breaking with trends in pre-processing? 2013 2026 2017 2021 2013 2016 100 200 300 400
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.

  1. Breaking with trends in pre-processing?
    2013 401 citations Jasper Engel, Jan Gerretzen et al. TrAC Trends in Analytical Chemistry profile →
  2. Convolutional neural networks for vibrational spectroscopic data analysis
    2016 330 citations Twan van Laarhoven, Jan Gerretzen et al. Analytica Chimica Acta profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jan Gerretzen Netherlands 14 889 436 373 281 176 17 1.3k
Chao Tan China 25 905 1.0× 467 1.1× 402 1.1× 310 1.1× 162 0.9× 106 1.6k
Pascal Chalus Switzerland 11 969 1.1× 575 1.3× 334 0.9× 193 0.7× 140 0.8× 19 1.4k
Jeroen J. Jansen Netherlands 13 931 1.0× 400 0.9× 368 1.0× 367 1.3× 179 1.0× 33 1.5k
Jerome Workman United States 23 1.0k 1.2× 437 1.0× 542 1.5× 227 0.8× 250 1.4× 59 1.6k
Shungeng Min China 19 953 1.1× 346 0.8× 388 1.0× 192 0.7× 290 1.6× 79 1.4k
Jez Willian Batista Braga Brazil 24 1.2k 1.3× 247 0.6× 344 0.9× 254 0.9× 122 0.7× 73 1.8k
Robert P. Cogdill United States 17 870 1.0× 449 1.0× 263 0.7× 114 0.4× 137 0.8× 31 1.3k
Florian Wülfert United Kingdom 14 480 0.5× 249 0.6× 224 0.6× 322 1.1× 133 0.8× 20 1.2k
Valéria Visani Brazil 8 1.0k 1.1× 317 0.7× 384 1.0× 139 0.5× 279 1.6× 10 1.3k
Р. З. Сафиева Russia 11 860 1.0× 399 0.9× 572 1.5× 94 0.3× 199 1.1× 30 1.4k

Countries citing papers authored by Jan Gerretzen

Since Specialization
Citations

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

Fields of papers citing papers by Jan Gerretzen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Gerretzen

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

All Works

17 of 17 papers shown
1.
Manen, Henk‐Jan van, et al.. (2021). Quantitative vibrational spectroscopy on liquid mixtures: concentration units matter. The Analyst. 146(10). 3150–3156. 4 indexed citations
2.
Kollenburg, Geert van, et al.. (2021). Process PLS: Incorporating substantive knowledge into the predictive modelling of multiblock, multistep, multidimensional and multicollinear process data. Computers & Chemical Engineering. 154. 107466–107466. 13 indexed citations
3.
Aiello, Federica, et al.. (2020). A multivariate approach to investigate the NMR CPMG pulse sequence for analysing low MW species in polymers. Magnetic Resonance in Chemistry. 59(2). 172–186. 13 indexed citations
4.
Kollenburg, Geert van, et al.. (2020). Understanding chemical production processes by using PLS path model parameters as soft sensors. Computers & Chemical Engineering. 139. 106841–106841. 21 indexed citations
5.
Gerretzen, Jan, et al.. (2020). Methodology to Predict Thermodynamic Data from Spectroscopic Analysis. Industrial & Engineering Chemistry Research. 59(49). 21548–21566. 6 indexed citations
6.
Gerretzen, Jan, et al.. (2020). Optimization of continuous-flow diphenyldiazomethane synthesis: an integrated undergraduate chemistry experiment. Journal of Flow Chemistry. 11(1). 59–66. 1 indexed citations
7.
Kollenburg, Geert van, et al.. (2020). Low-cost handheld NIR spectroscopy for identification of organic solvents and low-level quantification of water contamination. Talanta. 223(Pt 2). 121865–121865. 16 indexed citations
8.
Driel, B.A. van, Klaas Jan van den Berg, Jan Gerretzen, & Joris Dik. (2018). The white of the 20th century: an explorative survey into Dutch modern art collections. Heritage Science. 6(1). 16 indexed citations
9.
Tran, Thanh, Ewa Szymańska, Jan Gerretzen, et al.. (2017). Weight randomization test for the selection of the number of components in PLS models. Journal of Chemometrics. 31(5). 25 indexed citations
10.
Gerretzen, Jan, Ewa Szymańska, Jacob Bart, et al.. (2016). Boosting model performance and interpretation by entangling preprocessing selection and variable selection. Analytica Chimica Acta. 938. 44–52. 45 indexed citations
11.
Laarhoven, Twan van, et al.. (2016). Convolutional neural networks for vibrational spectroscopic data analysis. Analytica Chimica Acta. 954. 22–31. 330 indexed citations breakdown →
12.
Gerretzen, Jan, et al.. (2015). A novel approach for analyzing gas chromatography-mass spectrometry/olfactometry data. Chemometrics and Intelligent Laboratory Systems. 146. 290–296. 14 indexed citations
13.
Szymańska, Ewa, et al.. (2015). Chemometrics and qualitative analysis have a vibrant relationship. TrAC Trends in Analytical Chemistry. 69. 34–51. 96 indexed citations
14.
Gerretzen, Jan, Ewa Szymańska, Jeroen J. Jansen, et al.. (2015). Simple and Effective Way for Data Preprocessing Selection Based on Design of Experiments. Analytical Chemistry. 87(24). 12096–12103. 145 indexed citations
15.
Bloemberg, Tom G., et al.. (2013). Warping methods for spectroscopic and chromatographic signal alignment: A tutorial. Analytica Chimica Acta. 781. 14–32. 69 indexed citations
16.
Engel, Jasper, Jan Gerretzen, Ewa Szymańska, et al.. (2013). Breaking with trends in pre-processing?. TrAC Trends in Analytical Chemistry. 50. 96–106. 401 indexed citations breakdown →
17.
Bloemberg, Tom G., Jan Gerretzen, Hans Wouters, et al.. (2010). Improved parametric time warping for proteomics. Chemometrics and Intelligent Laboratory Systems. 104(1). 65–74. 70 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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