O. Devos

2.0k total citations
50 papers, 1.6k citations indexed

About

O. Devos is a scholar working on Analytical Chemistry, Biophysics and Electrical and Electronic Engineering. According to data from OpenAlex, O. Devos has authored 50 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Analytical Chemistry, 14 papers in Biophysics and 11 papers in Electrical and Electronic Engineering. Recurrent topics in O. Devos's work include Spectroscopy and Chemometric Analyses (24 papers), Spectroscopy Techniques in Biomedical and Chemical Research (11 papers) and Advanced Chemical Sensor Technologies (8 papers). O. Devos is often cited by papers focused on Spectroscopy and Chemometric Analyses (24 papers), Spectroscopy Techniques in Biomedical and Chemical Research (11 papers) and Advanced Chemical Sensor Technologies (8 papers). O. Devos collaborates with scholars based in France, Netherlands and Germany. O. Devos's co-authors include Ludovic Duponchel, Cyril Ruckebusch, Bernard Tribollet, O. Aaboubi, Jean-Paul Chopart, Gérard Downey, C. Gabrielli, A. Olivier, C. Gabrielli and J.P. Huvenne and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Analytical Chemistry.

In The Last Decade

O. Devos

48 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
O. Devos France 22 579 344 337 319 306 50 1.6k
Mats Josefson Sweden 28 1.0k 1.8× 162 0.5× 139 0.4× 590 1.8× 487 1.6× 59 2.0k
James A. de Haseth United States 16 610 1.1× 401 1.2× 253 0.8× 362 1.1× 654 2.1× 48 2.4k
Kexin Xu China 23 504 0.9× 545 1.6× 91 0.3× 550 1.7× 963 3.1× 227 2.0k
Susan L. Rose‐Pehrsson United States 26 315 0.5× 720 2.1× 166 0.5× 80 0.3× 840 2.7× 85 2.0k
D. E. Honigs United States 17 495 0.9× 143 0.4× 106 0.3× 368 1.2× 252 0.8× 27 1.1k
Staffan Folestad Sweden 38 1.1k 1.8× 274 0.8× 292 0.9× 606 1.9× 987 3.2× 112 3.2k
Hideyuki Shinzawa Japan 25 1.0k 1.8× 75 0.2× 163 0.5× 671 2.1× 584 1.9× 107 2.0k
Xiaoyu Cui China 25 381 0.7× 219 0.6× 223 0.7× 325 1.0× 216 0.7× 101 1.5k
Shan Chen China 15 784 1.4× 138 0.4× 228 0.7× 585 1.8× 378 1.2× 24 1.7k
J.P. Huvenne France 25 731 1.3× 53 0.2× 323 1.0× 315 1.0× 426 1.4× 67 1.9k

Countries citing papers authored by O. Devos

Since Specialization
Citations

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

Fields of papers citing papers by O. Devos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of O. Devos

This figure shows the co-authorship network connecting the top 25 collaborators of O. Devos. A scholar is included among the top collaborators of O. Devos 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 O. Devos. O. Devos 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.
Hugelier, Siewert, et al.. (2022). Multilinear Slicing for curve resolution of fluorescence imaging with sequential illumination. Talanta. 241. 123231–123231. 1 indexed citations
3.
Vitale, Raffaele, et al.. (2022). Hierarchical classification and matching of mid-infrared spectra of paint samples for forensic applications. Talanta. 243. 123360–123360. 5 indexed citations
4.
Devos, O., et al.. (2021). Multivariate Curve Resolution Slicing of Multiexponential Time-Resolved Spectroscopy Fluorescence Data. Analytical Chemistry. 93(37). 12504–12513. 13 indexed citations
5.
Devos, O., H. Schröder, Michel Sliwa, et al.. (2018). Photochemical multivariate curve resolution models for the investigation of photochromic systems under continuous irradiation. Analytica Chimica Acta. 1053. 32–42. 5 indexed citations
6.
Colard, Thomas, Guillaume Falgayrac, Benoît Bertrand, et al.. (2016). New Insights on the Composition and the Structure of the Acellular Extrinsic Fiber Cementum by Raman Analysis. PLoS ONE. 11(12). e0167316–e0167316. 31 indexed citations
7.
8.
Hugelier, Siewert, Sam Duwé, O. Devos, et al.. (2016). Sparse deconvolution of high-density super-resolution images. Scientific Reports. 6(1). 21413–21413. 44 indexed citations
9.
Devos, O., et al.. (2015). In-line and real-time prediction of recombinant antibody titer by in situ Raman spectroscopy. Analytica Chimica Acta. 892. 148–152. 59 indexed citations
10.
Devos, O., et al.. (2013). Mixture models for two-dimensional baseline correction, applied to artifact elimination in time-resolved spectroscopy. Analytica Chimica Acta. 771. 7–13. 14 indexed citations
11.
Devos, O., Gérard Downey, & Ludovic Duponchel. (2013). Simultaneous data pre-processing and SVM classification model selection based on a parallel genetic algorithm applied to spectroscopic data of olive oils. Food Chemistry. 148. 124–130. 116 indexed citations
12.
Devos, O., et al.. (2013). Multivariate curve resolution – Alternating least squares applied to the investigation of ultrafast competitive photoreactions. Analytica Chimica Acta. 788. 8–16. 17 indexed citations
13.
Ruckebusch, Cyril, et al.. (2011). Characterisation of heavy oils using near-infrared spectroscopy: Optimisation of pre-processing methods and variable selection. Analytica Chimica Acta. 705(1-2). 227–234. 52 indexed citations
14.
Devos, O., et al.. (2008). Support vector machines (SVM) in near infrared (NIR) spectroscopy: Focus on parameters optimization and model interpretation. Chemometrics and Intelligent Laboratory Systems. 96(1). 27–33. 218 indexed citations
15.
Devos, O., et al.. (2007). Growth of electrolytic copper dendrites. III: Influence of the presence of copper sulphate. Journal of Electroanalytical Chemistry. 606(2). 95–102. 5 indexed citations
16.
Durand, Amandine, O. Devos, Cyril Ruckebusch, & J.P. Huvenne. (2007). Genetic algorithm optimisation combined with partial least squares regression and mutual information variable selection procedures in near-infrared quantitative analysis of cotton–viscose textiles. Analytica Chimica Acta. 595(1-2). 72–79. 108 indexed citations
17.
Quintin, Mathieu, et al.. (2004). Inorganic Nanocrystalline and Hybrid Nanocrystalline Particles (Gamma-Fe[sub 2]O[sub 3]/PPY) and Their Contribution to Electrode Materials for Lithium Batteries. Journal of The Electrochemical Society. 151(9). A1445–A1445. 16 indexed citations
18.
Fanget, Bernard, O. Devos, & Micheline Draye. (2003). Correction of Inner Filter Effect in Mirror Coating Cells for Trace Level Fluorescence Measurements. Analytical Chemistry. 75(11). 2790–2795. 34 indexed citations
19.
Cachet, H., O. Devos, G. Folcher, et al.. (2001). In situ Investigation of Crystallization Processes by Coupling of Electrochemical and Optical Measurements: Application to CaCO[sub 3] Deposit. Electrochemical and Solid-State Letters. 4(4). C23–C23. 16 indexed citations
20.
Devos, O., et al.. (1997). A nwe experimental device for magnetoelectrochemical (M.E.C.) transfer function measurments. Polish Journal of Chemistry. 71(8). 1160–1170. 7 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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