Piet van Remortel
- Molecular Biology
- Health, Toxicology and Mutagenesis top 5%
- Pollution top 5%
- Physiology top 5%
- Genetics
- Co-authors
- Karlijn van der VenWim M. De CoenLotte MoensKoen Van LeemputJurgen Del‐FaveroBart De MoorA. VerschorenTim Van den Bulcke
- Topics
- Evolutionary Algorithms and Applications (6 papers)Effects and risks of endocrine disrupting chemicals (4 papers)Reproductive biology and impacts on aquatic species (4 papers)
In The Last Decade
Piet van Remortel
20 papers receiving 667 citations
Peers
Comparison fields: 5 of 85
- Molecular Biology 283
- Health, Toxicology and Mutagenesis 267
- Pollution 155
- Physiology 82
- Genetics 70
Countries citing papers authored by Piet van Remortel
This map shows the geographic impact of Piet van Remortel'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 Piet van Remortel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Piet van Remortel more than expected).
Fields of papers citing papers by Piet van Remortel
This network shows the impact of papers produced by Piet van Remortel. 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 Piet van Remortel. The network helps show where Piet van Remortel may publish in the future.
Co-authorship network of co-authors of Piet van Remortel
This figure shows the co-authorship network connecting the top 25 collaborators of Piet van Remortel. A scholar is included among the top collaborators of Piet van Remortel 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 Piet van Remortel. Piet van Remortel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 47 | |
| 3 | 44 | |
| 4 | 82 | |
| 5 | 52 | |
| 6 | 52 | |
| 7 | 73 | |
| 8 | 209 | |
| 9 | 54 | |
| 10 | A generator of biologically plausible synthetic gene expression data for design and analysis of structure learning algorithms | 6 |
| 11 | 1 | |
| 12 | Modelling artificial multi-level selection | 3 |
| 13 | 1 | |
| 14 | 2 | |
| 15 | Testing the overall functional robustness of 2D CA phenotypes for development | 1 |
| 16 | An individual-based approach to multi-level selection | 1 |
| 17 | 10 | |
| 18 | Niching and evolutionary transitions in multi-agent systems | 2 |
| 19 | Niching and Evolutionary Transitions in MAS | 1 |
| 20 | Shrinking the genotype: L- systems for Evolvable Hardware | 6 |
About Piet van Remortel
Piet van Remortel is a scholar working on Physiology, Health, Toxicology and Mutagenesis and Pollution, having authored 21 papers that have together received 683 indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (6 papers), Effects and risks of endocrine disrupting chemicals (4 papers) and Reproductive biology and impacts on aquatic species (4 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (267 citations), Physiology (82 citations) and Pollution (155 citations). Piet van Remortel has collaborated with scholars based in Belgium, Norway and Germany. Frequent co-authors include Karlijn van der Ven, Wim M. De Coen, Lotte Moens, Koen Van Leemput, Jurgen Del‐Favero, Bart De Moor, A. Verschoren, Tim Van den Bulcke, Bart Naudts and Kathleen Marchal. Their work appears in journals such as Chemosphere, BMC Bioinformatics and Toxicological Sciences.
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.