Laëtitia Maréchal
Impact in
- Social Psychology top 5%
- Primate Behavior and Ecology
- Small Animals top 5%
- Animal Behavior and Welfare Studies
Papers in
-
- Primate Behavior and Ecology 18
- Animal and Plant Science Education 2
- Genetics 5
- Human-Animal Interaction Studies 5
- Co-authors
- Bonaventura Majolo (13 shared papers)Ann M. MacLarnon (7 shared papers)Stuart Semple (7 shared papers)Mohamed Qarro (2 shared papers)Michael Heistermann (1 shared paper)Kerstin Meints (3 shared papers)Jurgi Cristóbal‐Azkarate (1 shared paper)Kyla Pennington (2 shared papers)
- Journals
- Scientific Reports (4 papers)PLoS ONE (2 papers)Biology Letters (1 paper)EcoHealth (1 paper)International Journal of Primatology (1 paper)
- Partner nations
- United KingdomGermanyUnited States
In The Last Decade
Laëtitia Maréchal
27 papers receiving 527 citations
Peers
Comparison fields: 5 of 65
- Social Psychology 296
- Small Animals 56
- Ecology 117
- Behavioral Neuroscience 8
- Developmental Biology 5
Countries citing papers authored by Laëtitia Maréchal
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
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.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 169 | |
| 2 | 2016 | 69 | |
| 3 | 2016 | 50 | |
| 4 | 2016 | 44 | |
| 5 | 2017 | 35 | |
| 6 | 2017 | 27 | |
| 7 | 2017 | 25 | |
| 8 | 2022 | 24 | |
| 9 | 2019 | 22 | |
| 10 | 2010 | 18 | |
| 11 | 2012 | 15 | |
| 12 | 2018 | 14 | |
| 13 | 2017 | 12 | |
| 14 | 2020 | 10 | |
| 15 | 2020 | 5 | |
| 16 | 2023 | 5 | |
| 17 | 2025 | 5 | |
| 18 | 2022 | 4 | |
| 19 | 2024 | 4 | |
| 20 | 2023 | 2 |
About Laëtitia Maréchal
Laëtitia Maréchal is a scholar working on Social Psychology, Genetics, Geography, Planning and Development, Cognitive Neuroscience and Ecology, having authored 29 papers that have together received 567 indexed citations. Recurring topics across this work include Primate Behavior and Ecology (18 papers), Human-Animal Interaction Studies (5 papers), Face Recognition and Perception (3 papers), Geographies of human-animal interactions (2 papers), Diverse Aspects of Tourism Research (2 papers), Evolutionary Game Theory and Cooperation (2 papers), Experimental Behavioral Economics Studies (2 papers) and Animal and Plant Science Education (2 papers). The work is most often cited by research in Social Psychology (296 citations), Small Animals (56 citations), Ecology (117 citations), Behavioral Neuroscience (8 citations) and Developmental Biology (5 citations). Laëtitia Maréchal has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Bonaventura Majolo, Ann M. MacLarnon, Stuart Semple, Mohamed Qarro, Michael Heistermann, Kerstin Meints, Jurgi Cristóbal‐Azkarate, Kyla Pennington, Jean‐Jacques Roeder and Nancy R. Gee. Their work appears in journals such as Scientific Reports, PLoS ONE, Biology Letters, EcoHealth and International Journal of Primatology.
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.