Judith Müller-Maatsch

922 total citations
23 papers, 659 citations indexed

About

Judith Müller-Maatsch is a scholar working on Analytical Chemistry, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Judith Müller-Maatsch has authored 23 papers receiving a total of 659 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Analytical Chemistry, 10 papers in Molecular Biology and 8 papers in Biomedical Engineering. Recurrent topics in Judith Müller-Maatsch's work include Spectroscopy and Chemometric Analyses (12 papers), Advanced Chemical Sensor Technologies (7 papers) and Identification and Quantification in Food (7 papers). Judith Müller-Maatsch is often cited by papers focused on Spectroscopy and Chemometric Analyses (12 papers), Advanced Chemical Sensor Technologies (7 papers) and Identification and Quantification in Food (7 papers). Judith Müller-Maatsch collaborates with scholars based in Netherlands, Germany and Saudi Arabia. Judith Müller-Maatsch's co-authors include Reinhold Carle, Augusta Caligiani, Tullia Tedeschi, Stefano Sforza, Kathy Elst, Yannick Weesepoel, Ralf M. Schweiggert, Bart Van Droogenbroeck, János-István Petrusán and Mariangela Bencivenni and has published in prestigious journals such as Journal of Cleaner Production, Journal of Agricultural and Food Chemistry and Food Chemistry.

In The Last Decade

Judith Müller-Maatsch

23 papers receiving 643 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Judith Müller-Maatsch Netherlands 15 248 234 171 166 159 23 659
Maria Chiara Italy 14 351 1.4× 307 1.3× 123 0.7× 84 0.5× 121 0.8× 37 774
Sharon Dea United States 9 165 0.7× 296 1.3× 64 0.4× 309 1.9× 95 0.6× 12 745
Abdul Azis Ariffin Malaysia 13 448 1.8× 190 0.8× 78 0.5× 135 0.8× 91 0.6× 29 813
Sabrina Carvalho Bastos Brazil 12 320 1.3× 186 0.8× 76 0.4× 80 0.5× 105 0.7× 27 753
E.J. Rifna India 11 247 1.0× 199 0.9× 72 0.4× 77 0.5× 73 0.5× 13 673
Chengye Ma China 16 371 1.5× 173 0.7× 193 1.1× 108 0.7× 124 0.8× 55 821
Xingyan Liu China 18 439 1.8× 241 1.0× 77 0.5× 129 0.8× 253 1.6× 38 1.0k
Houcine Mhemdi France 17 377 1.5× 213 0.9× 51 0.3× 152 0.9× 142 0.9× 40 874
Isabella Taglieri Italy 20 519 2.1× 326 1.4× 78 0.5× 128 0.8× 115 0.7× 76 1.1k
Evans Adingba Alenyorege China 19 285 1.1× 156 0.7× 113 0.7× 94 0.6× 118 0.7× 27 644

Countries citing papers authored by Judith Müller-Maatsch

Since Specialization
Citations

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

Fields of papers citing papers by Judith Müller-Maatsch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Judith Müller-Maatsch. 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 Judith Müller-Maatsch. The network helps show where Judith Müller-Maatsch may publish in the future.

Co-authorship network of co-authors of Judith Müller-Maatsch

This figure shows the co-authorship network connecting the top 25 collaborators of Judith Müller-Maatsch. A scholar is included among the top collaborators of Judith Müller-Maatsch 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 Judith Müller-Maatsch. Judith Müller-Maatsch 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.
2.
3.
Müller-Maatsch, Judith, et al.. (2023). Comparison of a portable Vis-NIR hyperspectral imaging and a snapscan SWIR hyperspectral imaging for evaluation of meat authenticity. Food Chemistry X. 18. 100667–100667. 19 indexed citations
4.
Erşan, Sevcan, et al.. (2022). Co-pigmentation of strawberry anthocyanins with phenolic compounds from rooibos. Food Chemistry Molecular Sciences. 4. 100097–100097. 14 indexed citations
5.
Weesepoel, Yannick, Judith Müller-Maatsch, Hadi Parastar, et al.. (2022). Assessment of meat authenticity using portable Fourier transform infrared spectroscopy combined with multivariate classification techniques. Microchemical Journal. 181. 107735–107735. 18 indexed citations
6.
Alewijn, Martin, Yannick Weesepoel, Judith Müller-Maatsch, et al.. (2022). Predicting the performance of handheld near-infrared photonic sensors from a master benchtop device. Analytica Chimica Acta. 1203. 339707–339707. 7 indexed citations
7.
Müller-Maatsch, Judith, et al.. (2022). Evaluation of on-site testing methods with a novel 3-in-1 miniaturized spectroscopic device for cinnamon screening. Talanta. 256. 124195–124195. 5 indexed citations
8.
Weesepoel, Yannick, et al.. (2021). Towards the universal assessment of dietary intake using spectral imaging solutions. 31–43. 2 indexed citations
9.
Müller-Maatsch, Judith & Saskia M. van Ruth. (2021). Handheld Devices for Food Authentication and Their Applications: A Review. Foods. 10(12). 2901–2901. 31 indexed citations
10.
Müller-Maatsch, Judith, Yannick Weesepoel, Hadi Parastar, et al.. (2021). The Feasibility of Two Handheld Spectrometers for Meat Speciation Combined with Chemometric Methods and Its Application for Halal Certification. Foods. 11(1). 71–71. 16 indexed citations
11.
Weesepoel, Yannick, et al.. (2020). Detecting Food Fraud in Extra Virgin Olive Oil Using a Prototype Portable Hyphenated Photonics Sensor. Journal of AOAC International. 104(1). 7–15. 32 indexed citations
12.
Carle, Reinhold, et al.. (2020). Assessing the sustainability of natural and artificial food colorants. Journal of Cleaner Production. 260. 120884–120884. 46 indexed citations
13.
Müller-Maatsch, Judith, et al.. (2018). The carmine dilemma: does the natural colourant preference outweigh nausea?. British Food Journal. 120(8). 1915–1928. 3 indexed citations
14.
Müller-Maatsch, Judith, et al.. (2018). Investigation into the removal of glucosinolates and volatiles from anthocyanin-rich extracts of red cabbage. Food Chemistry. 278. 406–414. 22 indexed citations
15.
Hempel, Judith C., Judith Müller-Maatsch, Reinhold Carle, & Ralf M. Schweiggert. (2017). Non-destructive approach for the characterization of the in situ carotenoid deposition in gac fruit aril. Journal of Food Composition and Analysis. 65. 16–22. 8 indexed citations
16.
Müller-Maatsch, Judith, et al.. (2016). Carotenoids from gac fruit aril ( Momordica cochinchinensis [Lour.] Spreng.) are more bioaccessible than those from carrot root and tomato fruit. Food Research International. 99(Pt 2). 928–935. 33 indexed citations
17.
Müller-Maatsch, Judith, et al.. (2016). Co-pigmentation of pelargonidin derivatives in strawberry and red radish model solutions by the addition of phenolic fractions from mango peels. Food Chemistry. 213. 625–634. 27 indexed citations
18.
Müller-Maatsch, Judith, Mariangela Bencivenni, Augusta Caligiani, et al.. (2016). Pectin content and composition from different food waste streams. Food Chemistry. 201. 37–45. 199 indexed citations
19.
20.
Müller-Maatsch, Judith, Augusta Caligiani, Tullia Tedeschi, Kathy Elst, & Stefano Sforza. (2014). Simple and Validated Quantitative 1H NMR Method for the Determination of Methylation, Acetylation, and Feruloylation Degree of Pectin. Journal of Agricultural and Food Chemistry. 62(37). 9081–9087. 84 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Maria Chiara Breakdown of academic impact, for papers by Sharon Dea Breakdown of academic impact, for papers by Abdul Azis Ariffin Breakdown of academic impact, for papers by Sabrina Carvalho Bastos Breakdown of academic impact, for papers by E.J. Rifna Breakdown of academic impact, for papers by Chengye Ma Breakdown of academic impact, for papers by Xingyan Liu Breakdown of academic impact, for papers by Houcine Mhemdi Breakdown of academic impact, for papers by Isabella Taglieri Breakdown of academic impact, for papers by Evans Adingba Alenyorege
Rankless by CCL
2026