Michelle Gauthier

431 citations
14 papers · 241 indexed · h-index 8
Topics
Stress Responses and Cortisol (4 papers)Human-Automation Interaction and Safety (2 papers)Receptor Mechanisms and Signaling (2 papers)
Partner nations
CanadaUnited States

In The Last Decade

Michelle Gauthier

13 papers receiving 236 citations

Peers

Michelle Gauthier
Comparison fields: 5 of 80
  • Cellular and Molecular Neuroscience 88
  • Social Psychology 81
  • Behavioral Neuroscience 78
  • Sensory Systems 54
  • Cognitive Neuroscience 53
Replace Karina Santos Gomes with:
Karina Santos Gomes Brazil
Xenos Mason United States
Shawn M. McInturf United States
Huating Gu China
Toshihiro Endo Japan
Meizhu Huang China
Renee N. Sadowski United States
Nancy Shannon United States
Scott Robinson United States
Frankie D. Heyward United States
Michelle Gauthier relative to Karina Santos Gomes Brazil Karina Santos Gomes's profile →
Citations per field
00.5×2.6×
Karina Santos Gomes · 1×
Citations per year

Countries citing papers authored by Michelle Gauthier

Since Specialization
Citations

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

Fields of papers citing papers by Michelle Gauthier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michelle Gauthier

This figure shows the co-authorship network connecting the top 25 collaborators of Michelle Gauthier. A scholar is included among the top collaborators of Michelle Gauthier 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 Michelle Gauthier. Michelle Gauthier is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
#WorkIndexed citations
1 2
2
Towards the assessment of trees outside forests
20
3 8
4 9
5
Foresterie urbaine et périurbaine. Quelles perspectives pour le bois-énergie en Afrique ?
2
6
Intelligent Adaptive Systems: Literature Research of Design Guidance for Intelligent Adaptive Automation and Interfaces
3
7 0
8 7
9 13
10 95
11 3
12 35
13 42
14
Wetland conservation in Central America
2

About Michelle Gauthier

Michelle Gauthier is a scholar working on Behavioral Neuroscience, Internal Medicine and Forestry, having authored 14 papers that have together received 241 indexed citations. Recurring topics across this work include Stress Responses and Cortisol (4 papers), Human-Automation Interaction and Safety (2 papers) and Receptor Mechanisms and Signaling (2 papers). The work is most often cited by research in Behavioral Neuroscience (78 citations), Sensory Systems (54 citations) and Biological Psychiatry (18 citations). Michelle Gauthier has collaborated with scholars based in Canada and United States. Frequent co-authors include Guy Drolet, Andrea L.O. Hebb, Robert M. Zacharko, Sylvie Laforest, Helena Domínguez, Debra A. Patt, Sharon H. Giordano, Hubert de Foresta, Eduardo Somarriba and Avi Parush. Their work appears in journals such as Brain Research, Neuroscience and European Journal of Neuroscience.

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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