Raphaël Van Laer

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

Impact in

Papers in

Raphaël Van Laer

38 papers receiving 1.2k citations

Peers

Raphaël Van Laer
Comparison fields: 5 of 33
  • Atomic and Molecular Physics, and Optics 1.1k
  • Electrical and Electronic Engineering 939
  • Artificial Intelligence 214
  • Biomedical Engineering 179
  • Instrumentation 6
Replace Timothy P. McKenna with:
Timothy P. McKenna United States
Jeremy D. Witmer United States
Ravi Pant Australia
Gabija Kiršanskė Denmark
Heedeuk Shin South Korea
C. J. Xin United States
Noam Ophir United States
Seán M. Meenehan United States
Raphaël Van Laer relative to Timothy P. McKenna United States Timothy P. McKenna's profile →
Citations per field
00.5×1.5×1.9×
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 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015236
2 2020201
3 2019138
4 2019122
5 202197
6 201992
7 201548
8 201648
9 202342
10 201427
11 202326
12 202220
13 201618
14 202118
15 201916
16 201813
17 20239
18 20209
19 20199
20 20125

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 38 papers that have together received 1.2k indexed citations. Recurring topics across this work include Mechanical and Optical Resonators (29 papers), Photonic and Optical Devices (27 papers), Advanced Fiber Laser Technologies (13 papers), Advanced MEMS and NEMS Technologies (11 papers), Quantum Information and Cryptography (7 papers), Photorefractive and Nonlinear Optics (7 papers), Acoustic Wave Resonator Technologies (4 papers) and Neural Networks and Reservoir Computing (2 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (1.1k citations), Electrical and Electronic Engineering (939 citations), Artificial Intelligence (214 citations), Biomedical Engineering (179 citations) and Instrumentation (6 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, Nature Communications, Optics Express, Optics Letters and Laser & Photonics Review.

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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