Vincent Baeten

6.6k total citations
177 papers, 4.9k citations indexed

About

Vincent Baeten is a scholar working on Analytical Chemistry, Biophysics and Molecular Biology. According to data from OpenAlex, Vincent Baeten has authored 177 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 103 papers in Analytical Chemistry, 49 papers in Biophysics and 48 papers in Molecular Biology. Recurrent topics in Vincent Baeten's work include Spectroscopy and Chemometric Analyses (102 papers), Spectroscopy Techniques in Biomedical and Chemical Research (48 papers) and Identification and Quantification in Food (46 papers). Vincent Baeten is often cited by papers focused on Spectroscopy and Chemometric Analyses (102 papers), Spectroscopy Techniques in Biomedical and Chemical Research (48 papers) and Identification and Quantification in Food (46 papers). Vincent Baeten collaborates with scholars based in Belgium, Spain and Brazil. Vincent Baeten's co-authors include Juan Antonio Fernández Pierna, Pierre Dardenne, Ouissam Abbas, Marc Meurens, Ramón Aparicio, M. T. Morales, Christoph von Holst, Elena C. Guzmán, José A. García‐Mesa and Gilbert Berben and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Agricultural and Food Chemistry and Scientific Reports.

In The Last Decade

Vincent Baeten

168 papers receiving 4.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vincent Baeten Belgium 39 2.8k 1.3k 1.1k 1.0k 938 177 4.9k
Gérard Downey Ireland 49 5.3k 1.9× 1.6k 1.2× 2.6k 2.3× 1.6k 1.6× 1.9k 2.0× 151 8.2k
Ricard Boqué Spain 34 2.5k 0.9× 756 0.6× 1.2k 1.1× 552 0.5× 346 0.4× 120 3.9k
Romdhane Karoui France 41 2.3k 0.8× 1.0k 0.8× 1.1k 1.0× 385 0.4× 1.7k 1.8× 151 4.5k
Pierre Dardenne Belgium 34 2.3k 0.8× 559 0.4× 718 0.6× 935 0.9× 502 0.5× 101 3.5k
José Manuel Amigo Denmark 42 3.1k 1.1× 845 0.7× 1.3k 1.2× 1.2k 1.2× 559 0.6× 170 5.4k
E. Kate Kemsley United Kingdom 36 1.6k 0.6× 1.6k 1.2× 981 0.9× 372 0.4× 497 0.5× 85 4.2k
Juan Antonio Fernández Pierna Belgium 33 2.0k 0.7× 490 0.4× 697 0.6× 705 0.7× 481 0.5× 110 3.0k
Kuanglin Chao United States 37 2.9k 1.0× 1.2k 1.0× 1.4k 1.2× 1.2k 1.1× 612 0.7× 179 4.5k
Dolores Pérez‐Marín Spain 34 2.5k 0.9× 555 0.4× 993 0.9× 783 0.8× 747 0.8× 172 3.4k
Jun‐Hu Cheng China 60 3.0k 1.1× 2.2k 1.7× 2.3k 2.1× 801 0.8× 2.6k 2.8× 208 10.6k

Countries citing papers authored by Vincent Baeten

Since Specialization
Citations

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

Fields of papers citing papers by Vincent Baeten

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vincent Baeten

This figure shows the co-authorship network connecting the top 25 collaborators of Vincent Baeten. A scholar is included among the top collaborators of Vincent Baeten 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 Vincent Baeten. Vincent Baeten 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.
Gómez‐Sanchís, Juan, et al.. (2025). Raman spectroscopy for multi-label identification of common apple pesticide mixtures using CNNs and gradient-weighted class activation mapping. Food Control. 178. 111460–111460. 2 indexed citations
2.
Kljusurić, Jasenka Gajdoš, Vincent Baeten, Anastasios Koidis, & Claudia Beleites. (2025). Sampling for non-destructive spectroscopy with a particular focus on agriculture, food and feed. TrAC Trends in Analytical Chemistry. 194. 118528–118528. 1 indexed citations
3.
Fauhl‐Hassek, Carsten, et al.. (2024). Comparison of Spectroscopic Techniques Using the Adulteration of Pumpkin Seed Oil as Example. Food Analytical Methods. 17(2). 332–347. 1 indexed citations
4.
Baeten, Vincent, et al.. (2024). Another pipeline in local Partial Least Squares Regression (LPLS) methods: Assessing the impact of wavelet transform integration. Microchemical Journal. 207. 112144–112144. 2 indexed citations
5.
Fauhl‐Hassek, Carsten, et al.. (2023). Towards common useable spectra in non-targeted analysis - A feasibility study by mid-infrared spectroscopy, transfer and correction approaches. Chemometrics and Intelligent Laboratory Systems. 240. 104904–104904. 2 indexed citations
6.
Chandelier, Anne, et al.. (2023). Near infrared hyperspectral imaging method to assess Fusarium Head Blight infection on winter wheat ears. Microchemical Journal. 191. 108812–108812. 12 indexed citations
7.
Baeten, Vincent, et al.. (2022). Raman Fourier transform imaging: Application to melamine and melamine‐milk powder mixtures analysis. Journal of Raman Spectroscopy. 53(11). 1947–1958. 3 indexed citations
8.
9.
Mercatoris, Benoît, et al.. (2022). Assessment of kernel presence in winter wheat ears at spikelet scale using near-infrared hyperspectral imaging. Journal of Cereal Science. 106. 103497–103497. 4 indexed citations
10.
Pierna, Juan Antonio Fernández, et al.. (2021). Application of near infrared hyperspectral imaging for identifying and quantifying red clover contained in experimental poultry refusals. Animal Feed Science and Technology. 273. 114827–114827. 1 indexed citations
11.
Veys, Pascal, Ikram Belghit, Marc Dieu, et al.. (2021). Inter-laboratory study on the detection of bovine processed animal protein in feed by LC-MS/MS-based proteomics. Food Control. 125. 107944–107944. 16 indexed citations
12.
Damiani, Tito, Rosa M. Alonso‐Salces, Vincent Baeten, et al.. (2020). Vibrational Spectroscopy Coupled to a Multivariate Analysis Tiered Approach for Argentinean Honey Provenance Confirmation. Foods. 9(10). 1450–1450. 8 indexed citations
13.
14.
Pierna, Juan Antonio Fernández, et al.. (2017). Online detection and quantification of particles of ergot bodies in cereal flour using near-infrared hyperspectral imaging. Food Additives & Contaminants Part A. 34(8). 1312–1319. 18 indexed citations
15.
Douny, Caroline, et al.. (2016). Linseed oil presents different patterns of oxidation in real-time and accelerated aging assays. Food Chemistry. 208. 111–115. 34 indexed citations
16.
Pierna, Juan Antonio Fernández, et al.. (2013). Standardization of NIR microscopy spectra obtained from inter-laboratory studies by using a standardization cell. SHILAP Revista de lepidopterología. 11 indexed citations
17.
Stefanov, Ivan, Vincent Baeten, Bernard De Baets, & Veerle Fievez. (2013). Towards combinatorial spectroscopy: The case of minor milk fatty acids determination. Talanta. 112. 101–110. 7 indexed citations
18.
Dale, Laura, et al.. (2012). Research on crude protein and digestibility of Arnica montana L. using conventional NIR spectrometry and hyperspectral imaging NIR. Open Repository and Bibliography (University of Liège). 9 indexed citations
19.
Veys, Pascal, et al.. (2012). Reintroduction of processed animal proteins in feed-filled gaps and gaps to be filled. Open Repository and Bibliography (University of Liège). 2 indexed citations
20.
Fumière, Olivier, Pascal Veys, Ana Boix, et al.. (2009). Methods of Detection, Species Identification and Quantification of Processed Animal Proteins in Feedingstuffs. SHILAP Revista de lepidopterología. 58 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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