Raphaël Van Laer

1.8k citations
37 papers · 1.2k · h-index 15

Impact in

Papers in

Raphaël Van Laer

37 papers receiving 1.1k citations

Peers

Raphaël Van Laer
Comparison fields: 5 of 32
  • Atomic and Molecular Physics, and Optics 1.1k
  • Electrical and Electronic Engineering 904
  • Artificial Intelligence 207
  • Biomedical Engineering 173
  • Statistical and Nonlinear Physics 18
Replace Timothy P. McKenna with:
Timothy P. McKenna United States
Ravi Pant Australia
P. Verlot France
Ivan Shubin United States
Heedeuk Shin South Korea
Gabija Kiršanskė Denmark
K. P. Nayak Japan
Noam Ophir United States
Raphaël Van Laer relative to Timothy P. McKenna United States Timothy P. McKenna's profile →
Citations per field
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Timothy P. McKenna · 1×
Citations per year

Countries citing papers authored by Raphaël Van Laer

Since Specialization
Citations

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

Fields of papers citing papers by Raphaël Van Laer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Raphaël Van Laer. 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 Raphaël Van Laer. The network helps show where Raphaël Van Laer may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015229
2 2020193
3 2019132
4 2019119
5 202190
6 201989
7 201646
8 201545
9 202338
10 201427
11 202322
12 202118
13 201618
14 202216
15 201915
16 201813
17 20209
18 20199
19 20239
20 20204

About Raphaël Van Laer

Raphaël Van Laer is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering, Artificial Intelligence, Biomedical Engineering and Computational Theory and Mathematics, having authored 37 papers that have together received 1.2k indexed citations. Recurring topics across this work include Mechanical and Optical Resonators (28 papers), Photonic and Optical Devices (26 papers), Advanced Fiber Laser Technologies (13 papers), Advanced MEMS and NEMS Technologies (10 papers), Photorefractive and Nonlinear Optics (7 papers), Quantum Information and Cryptography (7 papers), Acoustic Wave Resonator Technologies (4 papers) and Quantum Computing Algorithms and Architecture (2 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (1.1k citations), Electrical and Electronic Engineering (904 citations), Artificial Intelligence (207 citations), Biomedical Engineering (173 citations) and Statistical and Nonlinear Physics (18 citations). Raphaël Van Laer has collaborated with scholars based in United States, Belgium and Sweden. Frequent co-authors include Roel Baets, Dries Van Thourhout, Amir H. Safavi‐Naeini, Bart Kuyken, Timothy P. McKenna, Wentao Jiang, Felix M. Mayor, Rishi N. Patel, Christopher J. Sarabalis and Jeremy D. Witmer. Their work appears in journals such as Optica, Optics Express, Nature Communications, Optics Letters and Physical Review Applied.

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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