Philippe Malcorps

13 papers receiving 691 citations

Hit Papers

Predicting and improving complex beer flavor through machine learning 2024 · 62 citations
620+1Years since publication204060

Peers

Philippe Malcorps
Comparison fields: 5 of 69
  • Food Science 537
  • Tourism, Leisure and Hospitality Management 40
  • Biotechnology 94
  • Biochemistry 48
  • Plant Science 241
Replace Eduardo Pires with:
Eduardo Pires Portugal
Des Saputro Wibowo Indonesia
M. Grossmann Germany
Antonio G. Cordente Australia
Sylvester Holt Belgium
Christopher D. Curtin Australia
Marta Dizy Spain
Iolanda Rosi Italy
Giovanna Fia Italy
S. Lafon-Lafourcade France
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Citations per field
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Citations per year

Countries citing papers authored by Philippe Malcorps

Since Specialization
Citations

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

Fields of papers citing papers by Philippe Malcorps

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2015186
2 2004117
3 1992107
4 201982
5 199179
6
Predicting and improving complex beer flavor through machine learning
Hit paper breakdown →
202462
7 199425
8 201722
9 199119
10
Ester Synthesis By Saccharomyces Cerevisiae Localization of the Acetyl-coa - Isoamyl Alcohol Acetyltransferase (at)
198710
11
Glycogen released by the yeast as a cause of unfilterable haze in the beer
20016
12 20222
13 20211

About Philippe Malcorps

Philippe Malcorps is a scholar working on Food Science, Molecular Biology, Plant Science, Biomedical Engineering and Biotechnology, having authored 13 papers that have together received 718 indexed citations. Recurring topics across this work include Fermentation and Sensory Analysis (10 papers), Postharvest Quality and Shelf Life Management (3 papers), Fungal and yeast genetics research (3 papers), Microbial Metabolic Engineering and Bioproduction (3 papers), Advanced Chemical Sensor Technologies (2 papers), Horticultural and Viticultural Research (2 papers), Biochemical and biochemical processes (2 papers) and Plant Surface Properties and Treatments (1 paper). The work is most often cited by research in Food Science (537 citations), Tourism, Leisure and Hospitality Management (40 citations), Biotechnology (94 citations), Biochemistry (48 citations) and Plant Science (241 citations). Philippe Malcorps has collaborated with scholars based in Belgium, United States and Australia. Frequent co-authors include Kevin J. Verstrepen, Guy Derdelinckx, Luk Daenen, Jan Steensels, H. Verachtert, Jean‐Pierre Dufour, Johan M. Thevelein, Isak S. Pretorius, Freddy R. Delvaux and Joris Winderickx. Their work appears in journals such as Journal of the American Society of Brewing Chemists, Nature Ecology & Evolution, Applied and Environmental Microbiology, European Journal of Biochemistry and International Journal of Food Microbiology.

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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