Laurent Auclair

888 citations
64 papers · 688 · h-index 13

Impact in

Papers in

Laurent Auclair

60 papers receiving 644 citations

Peers

Laurent Auclair
Comparison fields: 5 of 122
  • Forestry 80
  • Cognitive Neuroscience 137
  • Global and Planetary Change 153
  • Ecology, Evolution, Behavior and Systematics 126
  • Psychiatry and Mental health 73
Replace Clair Alston‐Knox with:
Clair Alston‐Knox Australia
Florence Pinton France
Ian Craig Simpson United Kingdom
Helen Waters United Kingdom
Christine M. Johnson United States
Gabriela Hofer Austria
Ann Peterson Australia
Philip A. Robertson United States
Michael J. M. Hay New Zealand
Elizabeth Sanna Barron United States
Laurent Auclair relative to Clair Alston‐Knox Australia Clair Alston‐Knox's profile →
Citations per field
00.5×2×3×4.3×
Clair Alston‐Knox · 1×
Citations per year

Countries citing papers authored by Laurent Auclair

Since Specialization
Citations

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

Fields of papers citing papers by Laurent Auclair

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016101
2 201179
3 200942
4 200538
5 201037
6 200233
7 200032
8 201527
9 201626
10 201224
11 200916
12 200815
13 201415
14 201613
15 200712
16
L'appropriation communautaire des forêts dans le Haut Atlas marocain
199611
17 201510
18 200410
19 20099
20 20168

About Laurent Auclair

Laurent Auclair is a scholar working on Forestry, Ecology, Evolution, Behavior and Systematics, Anthropology, Cognitive Neuroscience and Sociology and Political Science, having authored 64 papers that have together received 688 indexed citations. Recurring topics across this work include Agriculture and Rural Development Research (25 papers), French Urban and Social Studies (20 papers), African Botany and Ecology Studies (15 papers), Spatial Neglect and Hemispheric Dysfunction (7 papers), Mediterranean and Iberian flora and fauna (7 papers), African Studies and Geopolitics (6 papers), Political and Social Issues (5 papers) and Multiculturalism, Politics, Migration, Gender (5 papers). The work is most often cited by research in Forestry (80 citations), Cognitive Neuroscience (137 citations), Global and Planetary Change (153 citations), Ecology, Evolution, Behavior and Systematics (126 citations) and Psychiatry and Mental health (73 citations). Laurent Auclair has collaborated with scholars based in France, Morocco and Switzerland. Frequent co-authors include Éric Siéroff, Bruno Romagny, Romain Simenel, Didier Génin, Geneviève Michon, David LaBerge, Mohamed Alifriqui, Isabelle Jambaqué, Julien Barra and G. Amarenco. Their work appears in journals such as Brain and Cognition, Ecology and Society, Neuropsychology, Neurourology and Urodynamics and Neurocase.

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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