Koen Smets

678 citations
16 papers · 501 · h-index 13

Impact in

    • Thermochemical Biomass Conversion Processes
    • Biodiesel Production and Applications
    • Lignin and Wood Chemistry
    • Biofuel production and bioconversion

Papers in

    • Thermochemical Biomass Conversion Processes 5
    • Biodiesel Production and Applications 2
    • Lignin and Wood Chemistry 2
    • Anomaly Detection Techniques and Applications 2
    • Neural Networks and Applications 1

Koen Smets

16 papers receiving 485 citations

Peers

Koen Smets
Comparison fields: 5 of 95
  • Catalysis 36
  • Biomedical Engineering 212
  • Pollution 52
  • Geochemistry and Petrology 26
  • Analytical Chemistry 28
Replace Xiaohan Jiang with:
Xiaohan Jiang China
Zhen Qin China
Shivani Sharma India
Bijay Kumar Sharma India
Xue Z. Wang United Kingdom
Wen Du China
Mingming Zhang China
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Koen Smets relative to Xiaohan Jiang China Xiaohan Jiang's profile →
Citations per field
00.5×5.6×
Xiaohan Jiang · 1×
Citations per year

Countries citing papers authored by Koen Smets

Since Specialization
Citations

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

Fields of papers citing papers by Koen Smets

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Koen Smets, 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 Koen Smets Line = papers co-authored together Koen Smets links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 201477
2 201164
3 201357
4 201056
5 201147
6 200639
7 201032
8 201428
9 200726
10 201219
11 201618
12
Slim: Directly mining descriptive patterns
201515
13 201114
14 20096
15
Evaluatie van beheermaatregelen om de ecologische waarde van populierenbossen te optimaliseren : PBO-project 99A/35/69
20042
16
\textsc Slim : Directly Mining Descriptive Patterns
20121

About Koen Smets

Koen Smets is a scholar working on Biomedical Engineering, Artificial Intelligence, Pollution, Information Systems and Molecular Biology, having authored 16 papers that have together received 501 indexed citations. Recurring topics across this work include Thermochemical Biomass Conversion Processes (5 papers), Energy and Environment Impacts (3 papers), Data Mining Algorithms and Applications (3 papers), Biodiesel Production and Applications (2 papers), Time Series Analysis and Forecasting (2 papers), Lignin and Wood Chemistry (2 papers), Anomaly Detection Techniques and Applications (2 papers) and Neural Networks and Applications (1 paper). The work is most often cited by research in Catalysis (36 citations), Biomedical Engineering (212 citations), Pollution (52 citations), Geochemistry and Petrology (26 citations) and Analytical Chemistry (28 citations). Koen Smets has collaborated with scholars based in Belgium, Netherlands and Italy. Frequent co-authors include Jilles Vreeken, Jan Yperman, Robert Carleer, Sonja Schreurs, G. Reggers, Peter Adriaensens, E.M. Jordaan, Ziad Al Chami, Stefano Dumontet and Brigitte Verdonk. Their work appears in journals such as Journal of Analytical and Applied Pyrolysis, Biomass and Bioenergy, Journal of Proteomics, Environmental Science & Technology and BMC Bioinformatics.

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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