Arnaud Can

88 papers receiving 1.7k citations

Peers

Arnaud Can
Comparison fields: 5 of 77
  • Speech and Hearing 1.1k
  • Automotive Engineering 244
  • Transportation 96
  • Signal Processing 73
  • Developmental Biology 14
Replace Bert De Coensel with:
Bert De Coensel Belgium
Gaetano Licitra Italy
Luca Fredianelli Italy
Antonio J. Torija United Kingdom
Eoin A. King Ireland
C. Asensio Spain
Giovanni Brambilla Italy
Lei Yu China
Virginia Puyana‐Romero Ecuador
Khaled Hamad United Arab Emirates
Arnaud Can relative to Bert De Coensel Belgium Bert De Coensel's profile →
Citations per field
00.5×1.6×
Bert De Coensel · 1×
Citations per year

Countries citing papers authored by Arnaud Can

Since Specialization
Citations

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

Fields of papers citing papers by Arnaud Can

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011136
2 201093
3 201892
4 201279
5 201776
6 201463
7 201862
8 201761
9 201060
10 200759
11 200858
12 201657
13 202055
14 202051
15 202042
16 202138
17 201137
18 200833
19 200729
20 201525

About Arnaud Can

Arnaud Can is a scholar working on Speech and Hearing, Automotive Engineering, Signal Processing, Environmental Engineering and Computer Science Applications, having authored 91 papers that have together received 1.8k indexed citations. Recurring topics across this work include Noise Effects and Management (78 papers), Vehicle emissions and performance (9 papers), Vehicle Noise and Vibration Control (4 papers), Music and Audio Processing (3 papers), Speech and Audio Processing (2 papers), Mobile Crowdsensing and Crowdsourcing (2 papers), Traffic control and management (2 papers) and Air Quality Monitoring and Forecasting (2 papers). The work is most often cited by research in Speech and Hearing (1.1k citations), Automotive Engineering (244 citations), Transportation (96 citations), Signal Processing (73 citations) and Developmental Biology (14 citations). Arnaud Can has collaborated with scholars based in France, Belgium and Spain. Frequent co-authors include Dick B. Botteldooren, Pierre Aumond, Ludovic Leclercq, Bert De Coensel, Catherine Lavandier, Ina De Vlieger, Bart Degraeuwe, Carlos Ribeiro, Judicaël Picaut and Benoît Gauvreau. Their work appears in journals such as Applied Acoustics, Transportation Research Part D Transport and Environment, Acta acustica united with Acustica, The Journal of the Acoustical Society of America and Sustainable Cities and Society.

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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