Laëtitia Maréchal

738 citations
27 papers · 548 · h-index 13

Impact in

Papers in

Laëtitia Maréchal

26 papers receiving 516 citations

Peers

Laëtitia Maréchal
Comparison fields: 5 of 76
  • Developmental Biology 78
  • Social Psychology 355
  • Small Animals 70
  • Ecology, Evolution, Behavior and Systematics 145
  • Ecology 178
Replace Colleen McCann with:
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Stephanie M. Dloniak United States
Urs Kalbitzer Canada
Erin G. Wessling Germany
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César Ades Brazil
Mercy Y. Akinyi Kenya
Shifra Z. Goldenberg United States
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Citations per field
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Citations per year

Countries citing papers authored by Laëtitia Maréchal

Since Specialization
Citations

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

Fields of papers citing papers by Laëtitia Maréchal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011163
2 201668
3 201651
4 201643
5 201735
6 201726
7 202223
8 201922
9 201722
10 201018
11 201216
12 201713
13 201813
14 20209
15 20205
16 20235
17 20224
18 20212
19 20242
20 20232

About Laëtitia Maréchal

Laëtitia Maréchal is a scholar working on Social Psychology, Ecology, Evolution, Behavior and Systematics, Ecology, Cognitive Neuroscience and Experimental and Cognitive Psychology, having authored 27 papers that have together received 548 indexed citations. Recurring topics across this work include Primate Behavior and Ecology (15 papers), Animal Behavior and Reproduction (9 papers), Wildlife Ecology and Conservation (8 papers), Human-Animal Interaction Studies (4 papers), Evolutionary Psychology and Human Behavior (3 papers), Olfactory and Sensory Function Studies (2 papers), Animal and Plant Science Education (2 papers) and Amphibian and Reptile Biology (2 papers). The work is most often cited by research in Developmental Biology (78 citations), Social Psychology (355 citations), Small Animals (70 citations), Ecology, Evolution, Behavior and Systematics (145 citations) and Ecology (178 citations). Laëtitia Maréchal has collaborated with scholars based in United Kingdom, France and Germany. Frequent co-authors include Bonaventura Majolo, Ann MacLarnon, Stuart Semple, Mohamed Qarro, Michael Heistermann, Kerstin Meints, Jurgi Cristóbal‐Azkarate, Jean‐Jacques Roeder, Émilie Genty and Nancy R. Gee. Their work appears in journals such as Scientific Reports, PLoS ONE, International Journal of Environmental Research and Public Health, EcoHealth and Biology Letters.

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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