Thomas Van Vaerenbergh

5.4k citations
82 papers · 3.7k indexed · 3 hit papers · h-index 20
Topics
Photonic and Optical Devices (53 papers)Neural Networks and Reservoir Computing (42 papers)Optical Network Technologies (31 papers)

In The Last Decade

Thomas Van Vaerenbergh

71 papers receiving 3.5k citations

Hit Papers

Silicon microring resonators201120262016202120112014202050010001.5k

Peers

Thomas Van Vaerenbergh
Comparison fields: 5 of 75
  • Electrical and Electronic Engineering 3.4k
  • Artificial Intelligence 1.6k
  • Atomic and Molecular Physics, and Optics 1.5k
  • Biomedical Engineering 250
  • Cognitive Neuroscience 169
Replace Geert Morthier with:
Geert Morthier Belgium
György Csaba United States
Xianshu Luo Singapore
Jianji Dong China
Nathan Youngblood United States
Scott A. Skirlo United States
Toshikazu Hashimoto Japan
Nicholas C. Harris United States
I.D. Henning United Kingdom
Nikos Pleros Greece
Thomas Van Vaerenbergh relative to Geert Morthier Belgium Geert Morthier's profile →
Citations per field
00.5×1.5×2.2×
Geert Morthier · 1×
Citations per year

Countries citing papers authored by Thomas Van Vaerenbergh

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Van Vaerenbergh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Van Vaerenbergh

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Van Vaerenbergh. A scholar is included among the top collaborators of Thomas Van Vaerenbergh based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Thomas Van Vaerenbergh. Thomas Van Vaerenbergh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 1
4 3
5 13
6 1
7 10
8 8
9 5
10 1
11 2
12 3
13 8
14 53
15 39
16 16
17 13
18 19
19 6
20 48

About Thomas Van Vaerenbergh

Thomas Van Vaerenbergh is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Surfaces, Coatings and Films, having authored 82 papers that have together received 3.7k indexed citations. Recurring topics across this work include Photonic and Optical Devices (53 papers), Neural Networks and Reservoir Computing (42 papers) and Optical Network Technologies (31 papers). The work is most often cited by research in Electrical and Electronic Engineering (3.4k citations), Atomic and Molecular Physics, and Optics (1.5k citations) and Artificial Intelligence (1.6k citations). Thomas Van Vaerenbergh has collaborated with scholars based in United States, Belgium and France. Frequent co-authors include Peter Bienstman, Wim Bogaerts, Peter De Heyn, Pieter Dumon, Dries Van Thourhout, Shankar Kumar Selvaraja, Tom Claes, Katrien De Vos, Roel Baets and Joni Dambre. Their work appears in journals such as Nature Communications, Physical Review A and Science Advances.

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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