D. Jouan-Rimbaud

3.6k total citations · 1 hit paper
16 papers, 2.8k citations indexed

About

D. Jouan-Rimbaud is a scholar working on Analytical Chemistry, Control and Systems Engineering and Biophysics. According to data from OpenAlex, D. Jouan-Rimbaud has authored 16 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Analytical Chemistry, 8 papers in Control and Systems Engineering and 7 papers in Biophysics. Recurrent topics in D. Jouan-Rimbaud's work include Spectroscopy and Chemometric Analyses (16 papers), Fault Detection and Control Systems (8 papers) and Spectroscopy Techniques in Biomedical and Chemical Research (7 papers). D. Jouan-Rimbaud is often cited by papers focused on Spectroscopy and Chemometric Analyses (16 papers), Fault Detection and Control Systems (8 papers) and Spectroscopy Techniques in Biomedical and Chemical Research (7 papers). D. Jouan-Rimbaud collaborates with scholars based in Belgium, Netherlands and United Kingdom. D. Jouan-Rimbaud's co-authors include D.L. Massart, Roy De Maesschalck, Onno E. de Noord, Désiré-Luc Massart, Riccardo Leardi, Beata Walczak, Andrea Candolfi, Perry A. Hailey, Ronei J. Poppi and K.A. Prebble and has published in prestigious journals such as Analytical Chemistry, Analytica Chimica Acta and The Analyst.

In The Last Decade

D. Jouan-Rimbaud

16 papers receiving 2.7k citations

Hit Papers

The Mahalanobis distance 2000 2026 2008 2017 2000 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D. Jouan-Rimbaud Belgium 15 1.1k 445 415 386 352 16 2.8k
W.J. Melssen Netherlands 24 980 0.9× 380 0.9× 479 1.2× 436 1.1× 312 0.9× 48 2.7k
Roy De Maesschalck Belgium 12 720 0.6× 305 0.7× 314 0.8× 349 0.9× 254 0.7× 15 2.4k
L.M.C. Buydens Netherlands 26 954 0.8× 316 0.7× 382 0.9× 211 0.5× 153 0.4× 72 2.3k
Sijmen de Jong Netherlands 21 2.2k 2.0× 667 1.5× 713 1.7× 290 0.8× 484 1.4× 31 4.3k
Takashi Yoneyama Brazil 24 1.0k 0.9× 311 0.7× 398 1.0× 226 0.6× 668 1.9× 193 3.2k
M. Daszykowski Poland 29 1.3k 1.1× 284 0.6× 507 1.2× 353 0.9× 198 0.6× 79 3.1k
Stefan D. Leigh United States 23 700 0.6× 157 0.4× 507 1.2× 597 1.5× 733 2.1× 77 5.8k
William S. Rayens United States 19 1.2k 1.1× 372 0.8× 689 1.7× 253 0.7× 85 0.2× 38 3.2k
Tahir Mehmood Pakistan 26 909 0.8× 257 0.6× 585 1.4× 259 0.7× 149 0.4× 208 3.8k
Agnar Höskuldsson Denmark 17 1.4k 1.3× 262 0.6× 295 0.7× 99 0.3× 649 1.8× 44 2.4k

Countries citing papers authored by D. Jouan-Rimbaud

Since Specialization
Citations

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

Fields of papers citing papers by D. Jouan-Rimbaud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. Jouan-Rimbaud. 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 D. Jouan-Rimbaud. The network helps show where D. Jouan-Rimbaud may publish in the future.

Co-authorship network of co-authors of D. Jouan-Rimbaud

This figure shows the co-authorship network connecting the top 25 collaborators of D. Jouan-Rimbaud. A scholar is included among the top collaborators of D. Jouan-Rimbaud 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 D. Jouan-Rimbaud. D. Jouan-Rimbaud is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Verdú‐Andrés, J., Beata Walczak, D. Jouan-Rimbaud, et al.. (2000). Comparison of Multivariate Calibration Techniques Applied to Experimental NIR Data Sets. Applied Spectroscopy. 54(4). 608–623. 73 indexed citations
2.
Maesschalck, Roy De, D. Jouan-Rimbaud, & D.L. Massart. (2000). The Mahalanobis distance. Chemometrics and Intelligent Laboratory Systems. 50(1). 1–18. 1658 indexed citations breakdown →
3.
Maesschalck, Roy De, J. Verdú‐Andrés, Andrea Candolfi, et al.. (1999). The development of calibration models for spectroscopic data using principal component regression. VUBIR (Vrije Universiteit Brussel). 2(19). 40 indexed citations
4.
Jouan-Rimbaud, D., E. Bouveresse, D.L. Massart, & Onno E. de Noord. (1999). Detection of prediction outliers and inliers in multivariate calibration. Analytica Chimica Acta. 388(3). 283–301. 33 indexed citations
5.
Candolfi, Andrea, Roy De Maesschalck, D. Jouan-Rimbaud, Perry A. Hailey, & D.L. Massart. (1999). The influence of data pre-processing in the pattern recognition of excipients near-infrared spectra. Journal of Pharmaceutical and Biomedical Analysis. 21(1). 115–132. 204 indexed citations
6.
Wu, Wen, Qian Guo, D. Jouan-Rimbaud, & D.L. Massart. (1999). Using contrasts as data pretreatment method in pattern recognition of multivariate data. Chemometrics and Intelligent Laboratory Systems. 45(1-2). 39–53. 26 indexed citations
7.
Pasti, Luisa, D. Jouan-Rimbaud, D.L. Massart, & Onno E. de Noord. (1998). Application of Fourier transform to multivariate calibration of near-infrared data. Analytica Chimica Acta. 364(1-3). 253–263. 19 indexed citations
8.
Jouan-Rimbaud, D., et al.. (1998). Determination of the representativity between two multidimensional data sets by a comparison of their structure. Chemometrics and Intelligent Laboratory Systems. 40(2). 129–144. 21 indexed citations
9.
Jouan-Rimbaud, D., et al.. (1997). Characterisation of the representativity of selected sets of samples in multivariate calibration and pattern recognition. Analytica Chimica Acta. 350(1-2). 149–161. 35 indexed citations
10.
Jouan-Rimbaud, D., Beata Walczak, Ronei J. Poppi, Onno E. de Noord, & D.L. Massart. (1997). Application of Wavelet Transform To Extract the Relevant Component from Spectral Data for Multivariate Calibration. Analytical Chemistry. 69(21). 4317–4323. 97 indexed citations
11.
Wu, Wen, et al.. (1996). Feature selection for the discrimination between pollution types with partial least squares modelling. The Analyst. 121(11). 1603–1603. 11 indexed citations
12.
Jouan-Rimbaud, D., D.L. Massart, & Onno E. de Noord. (1996). Random correlation in variable selection for multivariate calibration with a genetic algorithm. Chemometrics and Intelligent Laboratory Systems. 35(2). 213–220. 69 indexed citations
13.
Frenich, Antonia Garrido, et al.. (1995). Wavelength selection method for multicomponent spectrophotometric determinations using partial least squares. The Analyst. 120(12). 2787–2787. 120 indexed citations
15.
Jouan-Rimbaud, D., Désiré-Luc Massart, Riccardo Leardi, & Onno E. de Noord. (1995). Genetic Algorithms as a Tool for Wavelength Selection in Multivariate Calibration. Analytical Chemistry. 67(23). 4295–4301. 259 indexed citations
16.
Jouan-Rimbaud, D., et al.. (1995). Comparison of multivariate methods based on latent vectors and methods based on wavelength selection for the analysis of near-infrared spectroscopic data. Analytica Chimica Acta. 304(3). 285–295. 102 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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