Frédéric Despagne

993 citations
12 papers · 842 · h-index 10

Impact in

Papers in

Frédéric Despagne

12 papers receiving 815 citations

Peers

Frédéric Despagne
Comparison fields: 5 of 104
  • Analytical Chemistry 496
  • Biophysics 197
  • Industrial and Manufacturing Engineering 212
  • Bioengineering 70
  • Electrochemistry 55
Replace D. Wienke with:
D. Wienke Netherlands
Frank Vogt United States
Wallace D. Fragoso Brazil
Jerome Workman United States
Désiré-Luc Massart Belgium
Sonja Sekulic United States
Waldomiro Borges Neto Brazil
Anders Sparén Sweden
Maryam Vosough Iran
Jez Willian Batista Braga Brazil
Frédéric Despagne relative to D. Wienke Netherlands D. Wienke's profile →
Citations per field
00.5×1.5×1.9×
D. Wienke · 1×
Citations per year

Countries citing papers authored by Frédéric Despagne

Since Specialization
Citations

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

Fields of papers citing papers by Frédéric Despagne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Frédéric Despagne, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Frédéric Despagne Line = papers co-authored together Frédéric Despagne links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 1998397
2 1996102
3 200073
4 200063
5 199847
6 199742
7
The development of calibration models for spectroscopic data using principal component regression
199940
8 200130
9 199827
10 200011
11
Tutorial review : neural networks in multivariate calibration
19989
12
Quantitative analysis using near infrared spectroscopy, Application to tablet content uniformity, I. Methodology
20101

About Frédéric Despagne

Frédéric Despagne is a scholar working on Analytical Chemistry, Control and Systems Engineering, Biophysics, Industrial and Manufacturing Engineering and Artificial Intelligence, having authored 12 papers that have together received 842 indexed citations. Recurring topics across this work include Spectroscopy and Chemometric Analyses (10 papers), Fault Detection and Control Systems (6 papers), Spectroscopy Techniques in Biomedical and Chemical Research (4 papers), Water Quality Monitoring and Analysis (3 papers), Neural Networks and Applications (3 papers), Fuzzy Logic and Control Systems (1 paper), Sensor Technology and Measurement Systems (1 paper) and Advanced Chemical Sensor Technologies (1 paper). The work is most often cited by research in Analytical Chemistry (496 citations), Biophysics (197 citations), Industrial and Manufacturing Engineering (212 citations), Bioengineering (70 citations) and Electrochemistry (55 citations). Frédéric Despagne has collaborated with scholars based in Belgium, Netherlands and United States. Frequent co-authors include D.L. Massart, Désiré-Luc Massart, Steven D. Brown, Onno E. de Noord, Stephen T. Sum, Barry K. Lavine, Beata Walczak, Luisa Pasti, D. Jouan-Rimbaud and J. Verdú‐Andrés. Their work appears in journals such as Analytical Chemistry, Chemometrics and Intelligent Laboratory Systems, Applied Spectroscopy, The Analyst and Analytica Chimica Acta.

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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