Sam Dehaeck

55 papers receiving 907 citations

Peers

Sam Dehaeck
Comparison fields: 5 of 84
  • Computational Mechanics 341
  • Acoustics and Ultrasonics 13
  • Surfaces, Coatings and Films 59
  • Biomedical Engineering 336
  • Biophysics 35
Replace Peter Lehmann with:
Peter Lehmann Germany
Weiliang Jin China
Yutaka ABE Japan
Sangwoo Shin United States
Hongjie Liu China
Augusto Garcı́a-Valenzuela Mexico
Bincheng Li China
Marc Z. Miskin United States
Yuzhe Xiao United States
Rong Su China
Sam Dehaeck relative to Peter Lehmann Germany Peter Lehmann's profile →
Citations per field
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Peter Lehmann · 1×
Citations per year

Countries citing papers authored by Sam Dehaeck

Since Specialization
Citations

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

Fields of papers citing papers by Sam Dehaeck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sam Dehaeck, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sam Dehaeck Line = papers co-authored together Sam Dehaeck links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201482
2 201574
3 200751
4 201849
5 202248
6
Miniscope3D: optimized single-shot miniature 3D fluorescence microscopy
202046
7 200541
8 201139
9 200939
10 200839
11 201729
12 201227
13 200925
14 201822
15 201922
16 201319
17 201319
18 200918
19 201518
20 201917

About Sam Dehaeck

Sam Dehaeck is a scholar working on Computational Mechanics, Surfaces, Coatings and Films, Biomedical Engineering, Water Science and Technology and Mechanical Engineering, having authored 56 papers that have together received 929 indexed citations. Recurring topics across this work include Nanomaterials and Printing Technologies (12 papers), Fluid Dynamics and Thin Films (10 papers), Surface Modification and Superhydrophobicity (8 papers), Minerals Flotation and Separation Techniques (7 papers), Fluid Dynamics and Mixing (7 papers), Electrohydrodynamics and Fluid Dynamics (5 papers), Heat Transfer and Boiling Studies (5 papers) and Optical measurement and interference techniques (5 papers). The work is most often cited by research in Computational Mechanics (341 citations), Acoustics and Ultrasonics (13 citations), Surfaces, Coatings and Films (59 citations), Biomedical Engineering (336 citations) and Biophysics (35 citations). Sam Dehaeck has collaborated with scholars based in Belgium, France and Italy. Frequent co-authors include Pierre Colinet, J. P. A. J. van Beeck, Alexey Ye. Rednikov, Christophe E. Wylock, Benoı̂t Haut, Anne De Wit, Michel Léon Riethmuller, Annick Hubin, Pierre Lambert and Isadora Reis Rodrigues. Their work appears in journals such as Experiments in Fluids, Langmuir, Journal of Fluid Mechanics, Chemical Engineering Science and Microgravity Science and Technology.

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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