Joep Vanlier
Impact in
- Water Science and Technology top 5%
- Membrane Separation Technologies
- Pollution top 10%
- Wastewater Treatment and Nitrogen Removal
Papers in ⓘ
- Co-authors
- David Jeison (2 shared papers)N.A.W. van Riel (8 shared papers)P.A.J. Hilbers (7 shared papers)Christian Tiemann (7 shared papers)Andreas Raue (2 shared papers)Helge Hass (2 shared papers)Bernhard Steiert (2 shared papers)Jens Timmer (3 shared papers)
- Journals
- Bioinformatics (5 papers)BMC Systems Biology (2 papers)PLoS Computational Biology (1 paper)Water Research (1 paper)Mathematical Biosciences (1 paper)
- Partner nations
- NetherlandsUnited StatesGermany
In The Last Decade
Joep Vanlier
16 papers receiving 742 citations
Peers
Comparison fields: 5 of 115
- Water Science and Technology 199
- Pollution 86
- Modeling and Simulation 30
- Statistics, Probability and Uncertainty 42
- Molecular Biology 342
Countries citing papers authored by Joep Vanlier
This map shows the geographic impact of Joep Vanlier'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 Joep Vanlier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joep Vanlier more than expected).
Fields of papers citing papers by Joep Vanlier
This network shows the impact of papers produced by Joep Vanlier. 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 Joep Vanlier. The network helps show where Joep Vanlier may publish in the future.
Co-authors
The 25 scholars most cited alongside Joep Vanlier, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 153 | |
| 2 | 2007 | 128 | |
| 3 | 2013 | 86 | |
| 4 | 2007 | 73 | |
| 5 | 2016 | 68 | |
| 6 | 2012 | 67 | |
| 7 | 2012 | 54 | |
| 8 | 2014 | 28 | |
| 9 | 2013 | 27 | |
| 10 | 1970 | 26 | |
| 11 | 2011 | 22 | |
| 12 | 2009 | 13 | |
| 13 | 2013 | 7 | |
| 14 | 2011 | 5 | |
| 15 | 2014 | 1 | |
| 16 | 2019 | 1 |
About Joep Vanlier
Joep Vanlier is a scholar working on Statistics and Probability, Management Science and Operations Research, Water Science and Technology, Statistics, Probability and Uncertainty and Biochemistry, having authored 16 papers that have together received 759 indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (6 papers), Gene Regulatory Network Analysis (6 papers), Cholesterol and Lipid Metabolism (3 papers), Bioinformatics and Genomic Networks (3 papers), Membrane Separation Technologies (2 papers), Electrohydrodynamics and Fluid Dynamics (2 papers), Membrane-based Ion Separation Techniques (2 papers) and Protein Structure and Dynamics (2 papers). The work is most often cited by research in Water Science and Technology (199 citations), Pollution (86 citations), Modeling and Simulation (30 citations), Statistics, Probability and Uncertainty (42 citations) and Molecular Biology (342 citations). Joep Vanlier has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include David Jeison, N.A.W. van Riel, P.A.J. Hilbers, Christian Tiemann, Andreas Raue, Helge Hass, Bernhard Steiert, Jens Timmer, Tim Maiwald and Raphael Engesser. Their work appears in journals such as Bioinformatics, BMC Systems Biology, PLoS Computational Biology, Water Research and Mathematical Biosciences.
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.