Éric Lavigne

20.5k citations
152 papers · 4.7k indexed · 2 hit papers · h-index 40

Éric Lavigne

144 papers receiving 4.6k citations

Hit Papers

Estimates of global mortality burden associated with shor...592023202620242025255075100

Peers

Éric Lavigne
Comparison fields: 5 of 178
  • Health, Toxicology and Mutagenesis 3.7k
  • Speech and Hearing 769
  • Environmental Engineering 816
  • Pollution 494
  • Health 272
Replace Shao Lin with:
Shao Lin United States
Susanne Breitner Germany
Hualiang Lin China
Audrey Smargiassi Canada
Giulia Cesaroni Italy
Ray Copes Canada
Jane E. Clougherty United States
Helene G. Margolis United States
Sabit Cakmak Canada
Julio Díaz Spain
Éric Lavigne relative to Shao Lin United States Shao Lin's profile →
Citations per field
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Citations per year

Countries citing papers authored by Éric Lavigne

Since Specialization
Citations

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

Fields of papers citing papers by Éric Lavigne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20251
4 20241
5 20241
6 202412
7 20248
8 202324
9 202325
10 202214
11 202222
12 202047
13 2020102
14 201969
15 201817
16 201765
17 20167
18 2016105
19 201510
20
A method for stochastic noise reduction by chi-squared analysis
20062

About Éric Lavigne

Éric Lavigne is a scholar working on Health, Toxicology and Mutagenesis, Speech and Hearing and Environmental Engineering, having authored 152 papers that have together received 4.7k indexed citations. Recurring topics across this work include Air Quality and Health Impacts (92 papers), Climate Change and Health Impacts (91 papers), Noise Effects and Management (43 papers), Air Quality Monitoring and Forecasting (19 papers), Global Health Care Issues (18 papers), Urban Green Space and Health (16 papers), Thermoregulation and physiological responses (15 papers) and Energy and Environment Impacts (11 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (3.7k citations), Speech and Hearing (769 citations) and Environmental Engineering (816 citations). Éric Lavigne has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Scott Weichenthal, Richard T. Burnett, Hong Chen, Paul J. Villeneuve, Antonio Gasparrini, Randall V. Martin, Aaron van Donkelaar, Dan L. Crouse, Greg J. Evans and Sabit Cakmak. Their work appears in journals such as Environmental Research, Environment International, Environmental Epidemiology, Environmental Health and Epidemiology.

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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