Max Feinberg

3.3k total citations
81 papers, 2.4k citations indexed

About

Max Feinberg is a scholar working on Food Science, Analytical Chemistry and Statistics, Probability and Uncertainty. According to data from OpenAlex, Max Feinberg has authored 81 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Food Science, 25 papers in Analytical Chemistry and 17 papers in Statistics, Probability and Uncertainty. Recurrent topics in Max Feinberg's work include Pesticide Residue Analysis and Safety (26 papers), Spectroscopy and Chemometric Analyses (18 papers) and Scientific Measurement and Uncertainty Evaluation (10 papers). Max Feinberg is often cited by papers focused on Pesticide Residue Analysis and Safety (26 papers), Spectroscopy and Chemometric Analyses (18 papers) and Scientific Measurement and Uncertainty Evaluation (10 papers). Max Feinberg collaborates with scholars based in France, Morocco and Belgium. Max Feinberg's co-authors include Bruno Boulanger, Michel Laurentie, Walthère Dewé, Norbert Mercier, E. Chapuzet, Nadine Cohen, Eric Rozet, Ph. Hubert, Philippe Hubert and M. Lallier and has published in prestigious journals such as Analytical Chemistry, Applied and Environmental Microbiology and Journal of Agricultural and Food Chemistry.

In The Last Decade

Max Feinberg

76 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Max Feinberg France 24 675 621 389 371 248 81 2.4k
Michel Laurentie France 27 618 0.9× 723 1.2× 437 1.1× 421 1.1× 220 0.9× 110 3.2k
Walthère Dewé Belgium 32 626 0.9× 486 0.8× 521 1.3× 483 1.3× 73 0.3× 78 3.4k
R.D. McDowall United Kingdom 15 760 1.1× 430 0.7× 691 1.8× 697 1.9× 93 0.4× 78 3.1k
Thomas Skov Denmark 30 845 1.3× 528 0.9× 1.4k 3.6× 528 1.4× 170 0.7× 81 3.3k
E. Chapuzet Belgium 11 528 0.8× 345 0.6× 222 0.6× 345 0.9× 57 0.2× 15 1.4k
Bieke Dejaegher Belgium 31 899 1.3× 494 0.8× 1.1k 2.9× 813 2.2× 395 1.6× 84 3.0k
Bruno Boulanger Belgium 33 1.4k 2.1× 1.0k 1.7× 699 1.8× 1.2k 3.2× 122 0.5× 101 4.1k
Eric Ziémons Belgium 31 1.5k 2.3× 560 0.9× 599 1.5× 619 1.7× 138 0.6× 140 3.1k
H. Thomas Karnes United States 25 426 0.6× 294 0.5× 763 2.0× 826 2.2× 91 0.4× 136 2.7k
G. Biagi Italy 30 314 0.5× 385 0.6× 812 2.1× 583 1.6× 177 0.7× 136 2.7k

Countries citing papers authored by Max Feinberg

Since Specialization
Citations

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

Fields of papers citing papers by Max Feinberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Max Feinberg

This figure shows the co-authorship network connecting the top 25 collaborators of Max Feinberg. A scholar is included among the top collaborators of Max Feinberg 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 Max Feinberg. Max Feinberg 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.
Lombard, Bertrand, et al.. (2024). S-score: a new score for binary qualitative proficiency testing schemes interpretable as the z-score. Accreditation and Quality Assurance. 29(2). 103–113.
2.
Feinberg, Max, Stéphan Clémençon, Serge Rudaz, & Julien Boccard. (2024). Kernel‐Based Bootstrap Synthetic Data to Estimate Measurement Uncertainty in Analytical Sciences. Journal of Chemometrics. 38(12). 1 indexed citations
3.
4.
Gassner, Anne‐Laure, Julie Schappler, Max Feinberg, & Serge Rudaz. (2014). Derivation of uncertainty functions from validation studies in biological fluids: Application to the analysis of caffeine and its major metabolites in human plasma samples. Journal of Chromatography A. 1353. 121–130. 22 indexed citations
5.
Feinberg, Max, et al.. (2012). New approach for the assessment of cluster diets. Food and Chemical Toxicology. 52. 180–187. 34 indexed citations
6.
Feinberg, Max, et al.. (2010). Interpretation of interlaboratory trials based on accuracy profiles.. PubMed. 93(2). 725–33. 7 indexed citations
7.
Macarthur, Roy, Max Feinberg, & Yves Bertheau. (2010). Construction of Measurement Uncertainty Profiles for Quantitative Analysis of Genetically Modified Organisms Based on Interlaboratory Validation Data. Journal of AOAC International. 93(3). 1046–1056. 10 indexed citations
8.
Feinberg, Max, Danièle Sohier, & Jean‐François David. (2009). Validation of an Alternative Method for Counting Enterobacteriaceae in Foods Based on Accuracy Profile. Journal of AOAC International. 92(2). 527–537. 8 indexed citations
9.
Feinberg, Max, et al.. (2008). Determination of complex polysaccharides by HPAE-PAD in foods: Validation using accuracy profile. Journal of Chromatography B. 877(23). 2388–2395. 38 indexed citations
10.
Feinberg, Max, et al.. (2008). Stability Studies of Agrifood Reference Materials Under Different Conditions of Storage by Near-Infrared Spectroscopy. Food Analytical Methods. 1(4). 227–235. 4 indexed citations
11.
Hubert, P., Bruno Boulanger, E. Chapuzet, et al.. (2007). Harmonization of strategies for the validation of quantitative analytical procedures. Journal of Pharmaceutical and Biomedical Analysis. 45(1). 70–81. 445 indexed citations
12.
Hubert, Philippe, Bruno Boulanger, E. Chapuzet, et al.. (2006). Validation des procédures analytiques quantitatives :harmonisation des démarches - Partie III. Exemples d’application. 16(2). 87–121. 4 indexed citations
13.
Feinberg, Max & Michel Laurentie. (2006). A global approach to method validation and measurement uncertainty. Accreditation and Quality Assurance. 11(1-2). 3–9. 48 indexed citations
14.
Feinberg, Max. (2005). Calibration and confidence interval: The minimum allowable concentration. Journal of Chemometrics. 3(S1). 103–114.
15.
Tressou, Jessica, et al.. (2004). Probabilistic exposure assessment to food chemicals based on extreme value theory. Application to heavy metals from fish and sea products. Food and Chemical Toxicology. 42(8). 1349–1358. 66 indexed citations
16.
Feinberg, Max, et al.. (2003). Homogeneity check of agricultural and food industries samples using near infrared spectroscopy. Analytical and Bioanalytical Chemistry. 375(4). 496–504. 6 indexed citations
17.
Tressou, Jessica, Patrice Bertail, Amélie Crépet, Max Feinberg, & Jean‐Charles Leblanc. (2003). 709 Evaluation of food risk exposure using extreme value theory-application to heavy metals for sea products consumers. Toxicology Letters. 144. s190–s190. 1 indexed citations
18.
Rutledge, Douglas N., et al.. (2000). The use of synthetic foods to optimise microwave-assisted digestion procedures. Analusis. 28(3). 245–252. 2 indexed citations
19.
Feinberg, Max, et al.. (1993). Optimization procedure of open vessel microwave digestion for Kjeldahl nitrogen determination in foods. Analytica Chimica Acta. 272(1). 83–90. 15 indexed citations
20.
Feinberg, Max, et al.. (1989). Chemometrics and food chemistry: data validation. Analytica Chimica Acta. 223. 223–235. 3 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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