Ludovic Keiser

558 citations
14 papers · 386 · h-index 9

Impact in

Papers in

Ludovic Keiser

13 papers receiving 385 citations

Peers

Ludovic Keiser
Comparison fields: 5 of 69
  • Surfaces, Coatings and Films 169
  • Computational Mechanics 181
  • Developmental Neuroscience 11
  • Condensed Matter Physics 33
  • Mechanics of Materials 65
Replace Joachim Zajadacz with:
Joachim Zajadacz Germany
Aditi Chakrabarti United States
C.W.J. Berendsen Netherlands
Ashutosh Shastry United States
Xiaoduo Wang China
Seneca J. Velling United States
M. Ishida Japan
Binyamin Rubin United States
Angela Barker United States
Ralph Pohl Netherlands
Ludovic Keiser relative to Joachim Zajadacz Germany Joachim Zajadacz's profile →
Citations per field
00.5×8.3×
Joachim Zajadacz · 1×
Citations per year

Countries citing papers authored by Ludovic Keiser

Since Specialization
Citations

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

Fields of papers citing papers by Ludovic Keiser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ludovic Keiser, 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 Ludovic Keiser Line = papers co-authored together Ludovic Keiser links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2017124
2 2017102
3 202046
4 202020
5 201918
6 201817
7 202316
8 201612
9 201810
10 20228
11 20238
12 20213
13 20242
14 20250

About Ludovic Keiser

Ludovic Keiser is a scholar working on Computational Mechanics, Biomedical Engineering, Electrical and Electronic Engineering, Surfaces, Coatings and Films and Condensed Matter Physics, having authored 14 papers that have together received 386 indexed citations. Recurring topics across this work include Innovative Microfluidic and Catalytic Techniques Innovation (5 papers), Fluid Dynamics and Thin Films (4 papers), Fluid Dynamics and Heat Transfer (3 papers), Surface Modification and Superhydrophobicity (3 papers), Plant Water Relations and Carbon Dynamics (2 papers), Electrowetting and Microfluidic Technologies (2 papers), Fetal and Pediatric Neurological Disorders (2 papers) and Nanomaterials and Printing Technologies (2 papers). The work is most often cited by research in Surfaces, Coatings and Films (169 citations), Computational Mechanics (181 citations), Developmental Neuroscience (11 citations), Condensed Matter Physics (33 citations) and Mechanics of Materials (65 citations). Ludovic Keiser has collaborated with scholars based in France, Switzerland and Belgium. Frequent co-authors include José Bico, David Quéré, Christophe Clanet, Étienne Reyssat, Pierre Colinet, François Gallaire, Claire Wyart, Nathalie Jurisch‐Yaksi, Pierre‐Luc Bardet and Yasmine Cantaut-Belarif. Their work appears in journals such as Journal of Fluid Mechanics, Physical Review Letters, Physical Review Fluids, eLife and Current Biology.

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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