M. Decré
Impact in
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- Neuroscience and Neural Engineering
- Surfaces, Coatings and Films top 10%
- Surface Modification and Superhydrophobicity
Papers in
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- Neuroscience and Neural Engineering 7
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- Electrowetting and Microfluidic Technologies 3
- Co-authors
- Jean‐Christophe Baret (3 shared papers)Stephan Herminghaus (2 shared papers)Ralf Seemann (2 shared papers)H.C.F. Martens (2 shared papers)Sérgio Martinoia (3 shared papers)Wytse J. Wadman (3 shared papers)Jerrold L. Vitek (1 shared paper)David J. Anderson (1 shared paper)
- Journals
- Langmuir (5 papers)Japanese Journal of Applied Physics (1 paper)Clinical Neurophysiology (1 paper)Journal of the American Chemical Society (1 paper)Experiments in Fluids (1 paper)
- Partner nations
- NetherlandsFinlandBelgium
In The Last Decade
M. Decré
19 papers receiving 494 citations
Peers
Comparison fields: 5 of 58
- Cellular and Molecular Neuroscience 234
- Surfaces, Coatings and Films 66
- Neurology 129
- Cognitive Neuroscience 117
- Fluid Flow and Transfer Processes 26
Countries citing papers authored by M. Decré
This map shows the geographic impact of M. Decré'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 M. Decré with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Decré more than expected).
Fields of papers citing papers by M. Decré
This network shows the impact of papers produced by M. Decré. 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 M. Decré. The network helps show where M. Decré may publish in the future.
Co-authors
The 25 scholars most cited alongside M. Decré, 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 | 2010 | 139 | |
| 2 | 2012 | 69 | |
| 3 | 2007 | 50 | |
| 4 | 2004 | 37 | |
| 5 | 2006 | 34 | |
| 6 | 2005 | 33 | |
| 7 | 2013 | 27 | |
| 8 | 1995 | 23 | |
| 9 | 2000 | 17 | |
| 10 | 2010 | 15 | |
| 11 | 2005 | 15 | |
| 12 | 1995 | 9 | |
| 13 | 2005 | 9 | |
| 14 | 1994 | 8 | |
| 15 | 2011 | 8 | |
| 16 | 2009 | 5 | |
| 17 | 2009 | 5 | |
| 18 | 1996 | 3 | |
| 19 | 1996 | 1 |
About M. Decré
M. Decré is a scholar working on Cellular and Molecular Neuroscience, Electrical and Electronic Engineering, Biomedical Engineering, Computational Mechanics and Cognitive Neuroscience, having authored 19 papers that have together received 507 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (7 papers), Fluid Dynamics and Thin Films (4 papers), Microfluidic and Capillary Electrophoresis Applications (3 papers), Electrowetting and Microfluidic Technologies (3 papers), Nanofabrication and Lithography Techniques (3 papers), Neural dynamics and brain function (3 papers), Rheology and Fluid Dynamics Studies (2 papers) and Parkinson's Disease Mechanisms and Treatments (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (234 citations), Surfaces, Coatings and Films (66 citations), Neurology (129 citations), Cognitive Neuroscience (117 citations) and Fluid Flow and Transfer Processes (26 citations). M. Decré has collaborated with scholars based in Netherlands, Finland and Belgium. Frequent co-authors include Jean‐Christophe Baret, Stephan Herminghaus, Ralf Seemann, H.C.F. Martens, Sérgio Martinoia, Wytse J. Wadman, Jerrold L. Vitek, David J. Anderson, R.J. Vetter and Matthew D. Johnson. Their work appears in journals such as Langmuir, Japanese Journal of Applied Physics, Clinical Neurophysiology, Journal of the American Chemical Society and Experiments in Fluids.
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.