B. Palagos

1.6k total citations · 1 hit paper
17 papers, 1.2k citations indexed

About

B. Palagos is a scholar working on Analytical Chemistry, Food Science and Biophysics. According to data from OpenAlex, B. Palagos has authored 17 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Analytical Chemistry, 5 papers in Food Science and 4 papers in Biophysics. Recurrent topics in B. Palagos's work include Spectroscopy and Chemometric Analyses (11 papers), Spectroscopy Techniques in Biomedical and Chemical Research (4 papers) and Advanced Chemical Sensor Technologies (3 papers). B. Palagos is often cited by papers focused on Spectroscopy and Chemometric Analyses (11 papers), Spectroscopy Techniques in Biomedical and Chemical Research (4 papers) and Advanced Chemical Sensor Technologies (3 papers). B. Palagos collaborates with scholars based in France, Spain and Burkina Faso. B. Palagos's co-authors include Jean‐Michel Roger, Elvira Fernández-Ahumada, Véronique Bellon Maurel, Alex B. McBratney, Onrawee Laguerre, Dominique Bertrand, Paul Bourgine, Serge Guillaume, Nathalie Martin and C. Sinfort and has published in prestigious journals such as Analytica Chimica Acta, TrAC Trends in Analytical Chemistry and European Journal of Pharmaceutics and Biopharmaceutics.

In The Last Decade

B. Palagos

16 papers receiving 1.2k citations

Hit Papers

Critical review of chemometric indicators commonly used f... 2010 2026 2015 2020 2010 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
B. Palagos France 9 556 509 384 178 169 17 1.2k
Elvira Fernández-Ahumada Spain 10 554 1.0× 484 1.0× 374 1.0× 165 0.9× 69 0.4× 30 1.1k
Mohammad Reza Maleki Iran 14 509 0.9× 299 0.6× 191 0.5× 153 0.9× 40 0.2× 23 961
Mark O. Westerhaus United States 15 219 0.4× 1.0k 2.0× 115 0.3× 245 1.4× 143 0.8× 28 2.0k
A. Morón Uruguay 9 411 0.7× 272 0.5× 254 0.7× 123 0.7× 28 0.2× 12 756
P. C. Williams Syria 22 162 0.3× 716 1.4× 139 0.4× 108 0.6× 243 1.4× 44 1.7k
Muhammad Abdul Munnaf Belgium 14 401 0.7× 199 0.4× 177 0.5× 142 0.8× 28 0.2× 29 638
Felipe Bachion de Santana Brazil 14 164 0.3× 423 0.8× 107 0.3× 39 0.2× 78 0.5× 38 738
Wude Yang China 20 258 0.5× 332 0.7× 82 0.2× 530 3.0× 70 0.4× 108 1.2k
Boyan Kuang United Kingdom 10 353 0.6× 219 0.4× 153 0.4× 105 0.6× 17 0.1× 14 525

Countries citing papers authored by B. Palagos

Since Specialization
Citations

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

Fields of papers citing papers by B. Palagos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of B. Palagos

This figure shows the co-authorship network connecting the top 25 collaborators of B. Palagos. A scholar is included among the top collaborators of B. Palagos 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 B. Palagos. B. Palagos 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.
Pieters, Sigrid, Yvan Vander Heyden, Jean‐Michel Roger, et al.. (2013). Raman spectroscopy and multivariate analysis for the rapid discrimination between native-like and non-native states in freeze-dried protein formulations. European Journal of Pharmaceutics and Biopharmaceutics. 85(2). 263–271. 37 indexed citations
2.
Roger, Jean‐Michel, et al.. (2013). Comparative study of two methods (hexane extraction and NMR) for the determination of oil content in an individual olive fruit. European Journal of Lipid Science and Technology. 115(9). 1070–1077. 6 indexed citations
3.
Palagos, B., et al.. (2013). Calibration transfer of intact olive NIR spectra between a pre-dispersive instrument and a portable spectrometer. Computers and Electronics in Agriculture. 96. 202–208. 59 indexed citations
4.
Fernández-Ahumada, Elvira, Jean‐Michel Roger, & B. Palagos. (2012). A new formulation to estimate the variance of model prediction. Application to near infrared spectroscopy calibration. Analytica Chimica Acta. 721. 28–34. 6 indexed citations
5.
Maurel, Véronique Bellon, Elvira Fernández-Ahumada, B. Palagos, Jean‐Michel Roger, & Alex B. McBratney. (2010). Critical review of chemometric indicators commonly used for assessing the quality of the prediction of soil attributes by NIR spectroscopy. TrAC Trends in Analytical Chemistry. 29(9). 1073–1081. 770 indexed citations breakdown →
6.
Fernández-Ahumada, Elvira, Jean‐Michel Roger, B. Palagos, et al.. (2010). Multivariate Near-Infrared Reflection Spectroscopy Strategies for Ensuring Correct Labeling at Feed Bagging in the Animal Feed Industry. Applied Spectroscopy. 64(1). 83–91. 5 indexed citations
7.
Roger, Jean‐Michel, B. Palagos, Dominique Bertrand, & Elvira Fernández-Ahumada. (2010). CovSel: Variable selection for highly multivariate and multi-response calibration. Chemometrics and Intelligent Laboratory Systems. 106(2). 216–223. 96 indexed citations
9.
Derens, Evelyne, B. Palagos, & Marie Cornu. (2007). The food cold chain in France and its impact on food safety..
10.
Roger, Jean‐Michel, B. Palagos, Serge Guillaume, & Véronique Bellon Maurel. (2005). Discriminating from highly multivariate data by Focal Eigen Function discriminant analysis; application to NIR spectra. Chemometrics and Intelligent Laboratory Systems. 79(1-2). 31–41. 12 indexed citations
11.
Laguerre, Onrawee, et al.. (2002). Study of domestic refrigerator temperature and analysis of factors affecting temperature: a French survey. International Journal of Refrigeration. 25(5). 653–659. 145 indexed citations
12.
Derens, Evelyne, Onrawee Laguerre, & B. Palagos. (2001). Analyse de facteurs influençant la température dans les réfrigérateurs des ménages. Bulletin de l Académie Nationale de Médecine. 185(2). 311–322. 6 indexed citations
13.
Loumagne, C., et al.. (1999). D'une approche globale vers une approche semi-distribuée en modélisation pluie-débit. La Houille Blanche. 85(6). 81–88. 5 indexed citations
14.
Martin, Nathalie, et al.. (1994). Sensory-instrumental correlations by combining data analysis and neural network techniques. Food Quality and Preference. 5(1-2). 159–166. 24 indexed citations
15.
Bourgine, Paul, et al.. (1992). A method for prediction by combining data analysis and neural networks: application to prediction of apple quality using near infra-red spectra. HAL (Le Centre pour la Communication Scientifique Directe). 2 indexed citations
16.
Bourgine, Paul, et al.. (1992). A method for prediction by combining data analysis and neural networks: Application to prediction of apple quality using near infra-red spectraag. Journal of Agricultural Engineering Research. 51. 207–216. 43 indexed citations
17.
Palagos, B., et al.. (1990). Preferences for foods sweetened with sucrose, aspartame or acesulfame K. Food Quality and Preference. 2(2). 65–73. 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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