Philippe Bogaerts

1.8k total citations
110 papers, 1.3k citations indexed

About

Philippe Bogaerts is a scholar working on Molecular Biology, Control and Systems Engineering and Biomedical Engineering. According to data from OpenAlex, Philippe Bogaerts has authored 110 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Molecular Biology, 64 papers in Control and Systems Engineering and 17 papers in Biomedical Engineering. Recurrent topics in Philippe Bogaerts's work include Advanced Control Systems Optimization (60 papers), Viral Infectious Diseases and Gene Expression in Insects (48 papers) and Microbial Metabolic Engineering and Bioproduction (38 papers). Philippe Bogaerts is often cited by papers focused on Advanced Control Systems Optimization (60 papers), Viral Infectious Diseases and Gene Expression in Insects (48 papers) and Microbial Metabolic Engineering and Bioproduction (38 papers). Philippe Bogaerts collaborates with scholars based in Belgium, France and United Kingdom. Philippe Bogaerts's co-authors include Alain Vande Wouwer, A. Grosfils, Marianne Rooman, Yves Dehouck, Dimitri Gilis, Benjamin Folch, Raymond Hanus, Jacques Bohatier, Anne Richelle and Hongxing Niu and has published in prestigious journals such as Bioinformatics, Chemosphere and International Journal of Pharmaceutics.

In The Last Decade

Philippe Bogaerts

104 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Philippe Bogaerts Belgium 19 869 448 156 135 98 110 1.3k
Henry C. Lim United States 22 939 1.1× 278 0.6× 429 2.8× 188 1.4× 65 0.7× 80 1.7k
Chris French United Kingdom 16 575 0.7× 157 0.4× 186 1.2× 117 0.9× 97 1.0× 28 1.3k
Konstantin B. Konstantinov Japan 19 1.1k 1.3× 232 0.5× 447 2.9× 50 0.4× 43 0.4× 31 1.4k
Cristina Fernández Spain 21 634 0.7× 77 0.2× 92 0.6× 74 0.5× 172 1.8× 46 1.2k
Andreas Kremling Germany 25 1.4k 1.6× 121 0.3× 266 1.7× 58 0.4× 136 1.4× 77 1.8k
Chetan T. Goudar United States 24 1.0k 1.2× 50 0.1× 374 2.4× 109 0.8× 32 0.3× 67 1.6k
C. D. de Gooijer Netherlands 23 910 1.0× 86 0.2× 374 2.4× 131 1.0× 64 0.7× 50 1.3k
Bernhard Sonnleitner Switzerland 22 775 0.9× 134 0.3× 372 2.4× 107 0.8× 29 0.3× 38 1.2k
Chao‐Kai Chang Taiwan 25 334 0.4× 178 0.4× 105 0.7× 34 0.3× 90 0.9× 78 1.7k
Anna Eliasson Lantz Denmark 26 1.1k 1.3× 178 0.4× 568 3.6× 65 0.5× 59 0.6× 56 1.8k

Countries citing papers authored by Philippe Bogaerts

Since Specialization
Citations

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

Fields of papers citing papers by Philippe Bogaerts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philippe Bogaerts

This figure shows the co-authorship network connecting the top 25 collaborators of Philippe Bogaerts. A scholar is included among the top collaborators of Philippe Bogaerts 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 Philippe Bogaerts. Philippe Bogaerts 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
1.
2.
Sbarciog, Mihaela, et al.. (2024). Unstructured Dynamical Models for S. cerevisiae Cultures Fed With Glucose and Ammonium. IFAC-PapersOnLine. 58(14). 204–209. 1 indexed citations
3.
Sbarciog, Mihaela, et al.. (2022). Macroscopic Modeling of Intracellular Trehalose Concentration in Saccharomyces cerevisiae Fed-batch Cultures. IFAC-PapersOnLine. 55(20). 391–396. 2 indexed citations
4.
Bogaerts, Philippe & Alain Vande Wouwer. (2021). How to Tackle Underdeterminacy in Metabolic Flux Analysis? A Tutorial and Critical Review. Processes. 9(9). 1577–1577. 2 indexed citations
5.
Dewasme, Laurent, et al.. (2019). Adaptive Flux Variability Analysis: A Tool To Deal With Uncertainties. IFAC-PapersOnLine. 52(1). 70–75. 2 indexed citations
6.
Bogaerts, Philippe, et al.. (2019). Fba-Based Prediction of Biomass and Ethanol Concentration Time Profiles in Saccharomyces cerevisiae Fed-Bath Cultures. IFAC-PapersOnLine. 52(1). 82–87. 2 indexed citations
7.
Bogaerts, Philippe, et al.. (2019). Determining a unique solution to underdetermined metabolic networks via a systematic path through the Most Accurate Fluxes. IFAC-PapersOnLine. 52(1). 352–357. 4 indexed citations
8.
Dewasme, Laurent, et al.. (2019). Adaptive flux variability analysis of HEK cell cultures. Computers & Chemical Engineering. 133. 106633–106633. 5 indexed citations
9.
Richelle, Anne, et al.. (2015). Macroscopic modelling of bioethanol production from potato peel wastes in batch cultures supplemented with inorganic nitrogen. Bioprocess and Biosystems Engineering. 38(9). 1819–1833. 6 indexed citations
10.
Rooman, Marianne, et al.. (2009). A robust method for the joint estimation of yield coefficients and kinetic parameters in bioprocess models. Biotechnology Progress. 25(3). 606–618. 3 indexed citations
11.
Grosfils, A., Alain Vande Wouwer, & Philippe Bogaerts. (2007). On a general model structure for macroscopic biological reaction rates. Journal of Biotechnology. 130(3). 253–264. 20 indexed citations
12.
Wouwer, Alain Vande, et al.. (2004). Dynamic modeling of complex biological systems: a link between metabolic and macroscopic description. Mathematical Biosciences. 193(1). 25–49. 38 indexed citations
13.
Bogaerts, Philippe & Alain Vande Wouwer. (2003). Software sensors for bioprocesses. ISA Transactions. 42(4). 547–558. 44 indexed citations
14.
Wouwer, Alain Vande, et al.. (2002). DISTRIBUTED PARAMETER MODELING OF A FIXED-BED BIOFILTER WITH EXPERIMENTAL VALIDATION.
15.
Bogaerts, Philippe, et al.. (2002). HYBRID FULL HORIZON-ASYMPTOTIC OBSERVER FOR BIOPROCESSES. IFAC Proceedings Volumes. 35(1). 419–424. 5 indexed citations
16.
Somé, Issa T., Philippe Bogaerts, Raymond Hanus, Michel Hanocq, & Jacques Dubois. (2001). Stability parameter estimation at ambient temperature from studies at elevated temperatures. Journal of Pharmaceutical Sciences. 90(11). 1759–1766. 5 indexed citations
17.
Bogaerts, Philippe, Jacques Bohatier, & Frédérique Bonnemoy. (2001). Use of the Ciliated Protozoan Tetrahymena pyriformis for the Assessment of Toxicity and Quantitative Structure–Activity Relationships of Xenobiotics: Comparison with the Microtox Test. Ecotoxicology and Environmental Safety. 49(3). 293–301. 43 indexed citations
18.
Somé, Issa T., Philippe Bogaerts, Raymond Hanus, Michel Hanocq, & Jacques Dubois. (2000). Improved kinetic parameter estimation in pH-profile data treatment. International Journal of Pharmaceutics. 198(1). 39–49. 22 indexed citations
19.
Bogaerts, Philippe, et al.. (1999). A general mathematical modelling technique for bioprocesses in engineering applications. Systems Analysis Modelling Simulation. 35(2). 87–113. 10 indexed citations
20.
Bogaerts, Philippe, J. Sénaud, & Jacques Bohatier. (1998). BIOASSAY TECHNIQUE USING NONSPECIFIC ESTERASE ACTIVITIES OF TETRAHYMENA PYRIFORMIS FOR SCREENING AND ASSESSING CYTOTOXICITY OF XENOBIOTICS. Environmental Toxicology and Chemistry. 17(8). 1600–1600. 2 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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