Jan Van Impe

19.7k total citations · 4 hit papers
688 papers, 14.4k citations indexed

About

Jan Van Impe is a scholar working on Biotechnology, Control and Systems Engineering and Molecular Biology. According to data from OpenAlex, Jan Van Impe has authored 688 papers receiving a total of 14.4k indexed citations (citations by other indexed papers that have themselves been cited), including 204 papers in Biotechnology, 175 papers in Control and Systems Engineering and 139 papers in Molecular Biology. Recurrent topics in Jan Van Impe's work include Listeria monocytogenes in Food Safety (180 papers), Advanced Control Systems Optimization (137 papers) and Microbial Inactivation Methods (125 papers). Jan Van Impe is often cited by papers focused on Listeria monocytogenes in Food Safety (180 papers), Advanced Control Systems Optimization (137 papers) and Microbial Inactivation Methods (125 papers). Jan Van Impe collaborates with scholars based in Belgium, United Kingdom and Greece. Jan Van Impe's co-authors include Annemie Geeraerd, Vasilis Valdramidis, Filip Logist, Raf Dewil, Frank Devlieghere, Lise Appels, Kristel Bernaerts, Jan Degrève, Ilse Smets and Johan Debevere and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and Renewable and Sustainable Energy Reviews.

In The Last Decade

Jan Van Impe

661 papers receiving 13.9k citations

Hit Papers

GInaFiT, a freeware tool to assess non-log-linear microbi... 2000 2026 2008 2017 2005 2011 2000 2025 250 500 750

Peers

Jan Van Impe
Comparison fields: 5 of 195
  • Biotechnology 4.8k
  • Food Science 3.5k
  • Molecular Biology 2.4k
  • Control and Systems Engineering 2.1k
  • Biomedical Engineering 2.0k
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Citations per field, relative to Jan Van Impe
Jan Van Impe · 1×
Citations per year, relative to Jan Van Impe
Jan Van Impe · 1×

Countries citing papers authored by Jan Van Impe

Since Specialization
Citations

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

Fields of papers citing papers by Jan Van Impe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jan Van Impe. 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 Jan Van Impe. The network helps show where Jan Van Impe may publish in the future.

Co-authorship network of co-authors of Jan Van Impe

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Van Impe. A scholar is included among the top collaborators of Jan Van Impe 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 Jan Van Impe. Jan Van Impe 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
# Work Indexed citations
1 6
2 3
3 6
4 5
5 5
6 2
7 2
8 3
9 1
10 6
11 2
12 4
13 1
14
Predictive models to support manufacturers of processed meat in their compliance with EU regulation 2073/2005
2
15
Evaluation of growth/no growth modelling approaches on a non-abrupt growth/no growth interface of Listeria monocytogenes
3
16
Modelling individual cell lag time distributions for Listeria monocytogenes
2
17
An Alternative Approach to Non-Log-Linear Thermal Microbial Inactivation: Modelling the Number of Log Cycles Reduction with Respect to Temperature
27
18
Accurate modelling of non-loglinear survival curves
10
19
Biocontrol of microbial pathogens with lactic acid bacteria: evaluation through predictive modelling
5
20
Introducing optimal experimental design in predictive microbiology: a motivating example
7

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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