Danielle Vienneau

15.1k citations
168 papers · 6.4k indexed · 1 hit paper · h-index 45

Impact in

Papers in

Danielle Vienneau

155 papers receiving 6.3k citations

Hit Papers

A review of land-use regression models to assess spatial variation of outdoor air pollution 2008 · 1.1k citations
1.1k20082026201420202505007501000

Peers

Danielle Vienneau
Comparison fields: 5 of 176
  • Speech and Hearing 2.7k
  • Health, Toxicology and Mutagenesis 4.1k
  • Automotive Engineering 1.5k
  • Environmental Engineering 1.5k
  • Transportation 723
Replace John Gulliver with:
John Gulliver United Kingdom
Zorana Jovanovic Andersen Denmark
Sean Beevers United Kingdom
Fred Lurmann United States
Kees de Hoogh Switzerland
Anna Hansell United Kingdom
Matthias Ketzel Denmark
Erik Lebret Netherlands
Paul Fischer Netherlands
María Foraster Spain
Danielle Vienneau relative to John Gulliver United Kingdom John Gulliver's profile →
Citations per field
00.5×1.5×1.8×
John Gulliver · 1×
Citations per year

Countries citing papers authored by Danielle Vienneau

Since Specialization
Citations

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

Fields of papers citing papers by Danielle Vienneau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20260
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11 20232
12 20234
13 20227
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15 202018
16 201826
17 201817
18 2018115
19 201510
20 200862

About Danielle Vienneau

Danielle Vienneau is a scholar working on Speech and Hearing, Health, Toxicology and Mutagenesis, Automotive Engineering, Transportation and Environmental Engineering, having authored 168 papers that have together received 6.4k indexed citations. Recurring topics across this work include Air Quality and Health Impacts (107 papers), Noise Effects and Management (77 papers), Climate Change and Health Impacts (40 papers), Air Quality Monitoring and Forecasting (23 papers), Vehicle Noise and Vibration Control (23 papers), Urban Transport and Accessibility (14 papers), Energy and Environment Impacts (13 papers) and Hearing Loss and Rehabilitation (13 papers). The work is most often cited by research in Speech and Hearing (2.7k citations), Health, Toxicology and Mutagenesis (4.1k citations), Automotive Engineering (1.5k citations), Environmental Engineering (1.5k citations) and Transportation (723 citations). Danielle Vienneau has collaborated with scholars based in Switzerland, United Kingdom and Netherlands. Frequent co-authors include Kees de Hoogh, John Gulliver, Martin Röösli, David Briggs, Gerard Hoek, Rob Beelen, Jean Marc Wunderli, Nicole Probst‐Hensch, Paul Fischer and Mark Brink. Their work appears in journals such as Environment International, Environmental Research, Environmental Health Perspectives, International Journal of Environmental Research and Public Health and Environmental Pollution.

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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