Francis E. Mayle

89 papers receiving 4.0k citations

Francis E. Mayle's Hit Papers

Millennial-Scale Dynamics of Southern Amazonian Rain Forests 2000 · 372 citations
3720+8+17Years since publication100200300

Peers

Francis E. Mayle
Comparison fields: 5 of 84
  • Atmospheric Science 2.3k
  • Paleontology 894
  • History 1.3k
  • Earth-Surface Processes 574
  • Anthropology 691
Replace Marie‐Pierre Ledru with:
Marie‐Pierre Ledru France
Paulo Eduardo de Oliveira Brazil
Valentı́ Rull Spain
Willem O. van der Knaap Switzerland
T. van der Hammen Netherlands
Christopher Carcaillet France
Heinz Veit Switzerland
Simon Haberle Australia
Eric C. Grimm United States
Vera Markgraf United States
Francis E. Mayle relative to Marie‐Pierre Ledru France Marie‐Pierre Ledru's profile →
Citations per field
00.5×2.7×
Marie‐Pierre Ledru · 1×
Citations per year

Countries citing papers authored by Francis E. Mayle

Since Specialization
Citations

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

Fields of papers citing papers by Francis E. Mayle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Francis E. Mayle. 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 Francis E. Mayle. The network helps show where Francis E. Mayle may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 90 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Millennial-Scale Dynamics of Southern Amazonian Rain Forests
Hit paper breakdown →
2000372
2 2004197
3 1993164
4 2004163
5 2008163
6 2008151
7 2006129
8 2011112
9 2016106
10 200394
11 201794
12 201492
13 199990
14 200487
15 201278
16 199378
17 201376
18 201172
19 199369
20 200567

About Francis E. Mayle

Francis E. Mayle is a scholar working on Atmospheric Science, History, Ecology, Paleontology and Anthropology, having authored 90 papers that have together received 4.2k indexed citations. Recurring topics across this work include Geology and Paleoclimatology Research (52 papers), Amazonian Archaeology and Ethnohistory (41 papers), Pleistocene-Era Hominins and Archaeology (17 papers), Isotope Analysis in Ecology (14 papers), Ecology and Vegetation Dynamics Studies (14 papers), Archaeology and ancient environmental studies (12 papers), Plant Diversity and Evolution (12 papers) and Indigenous Health and Education (11 papers). The work is most often cited by research in Atmospheric Science (2.3k citations), Paleontology (894 citations), History (1.3k citations), Earth-Surface Processes (574 citations) and Anthropology (691 citations). Francis E. Mayle has collaborated with scholars based in United Kingdom, United States and Brazil. Frequent co-authors include Timothy J. Killeen, Les C. Cwynar, Bronwen S. Whitney, José Iriarte, David J. Beerling, William D. Gosling, Mitchell J. Power, André J. Levesque, Ian R. Walker and J. John Lowe. Their work appears in journals such as The Holocene, Journal of Quaternary Science, Quaternary Research, Review of Palaeobotany and Palynology and Quaternary Science Reviews.

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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