Laure Emperaire

172 total papers · 1.3k total citations
46 papers, 687 citations indexed

About

Laure Emperaire is a scholar working on Plant Science, General Agricultural and Biological Sciences and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Laure Emperaire has authored 46 papers receiving a total of 687 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Plant Science, 14 papers in General Agricultural and Biological Sciences and 9 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Laure Emperaire's work include Agriculture, Land Use, Rural Development (10 papers), Conservation, Biodiversity, and Resource Management (8 papers) and Rural Development and Agriculture (8 papers). Laure Emperaire is often cited by papers focused on Agriculture, Land Use, Rural Development (10 papers), Conservation, Biodiversity, and Resource Management (8 papers) and Rural Development and Agriculture (8 papers). Laure Emperaire collaborates with scholars based in France, Brazil and Congo Republic. Laure Emperaire's co-authors include Nivaldo Peroni, Ludivine Eloy, Florence Pinton, Ana María Jansen, François Noireau, Doyle McKey, D. I. Jarvis, Jean Wencélius, Marco Pautasso and Oliver T. Coomes and has published in prestigious journals such as SHILAP Revista de lepidopterología, Forest Ecology and Management and Food Policy.

In The Last Decade

Laure Emperaire

40 papers receiving 619 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Laure Emperaire	288	190	125	111	86	46	687
Geoffrey M. Malinga	174 0.6×	82 0.4×	27 0.2×	178 1.6×	41 0.5×	69	728
P.N. de Leeuw	51 0.2×	52 0.3×	187 1.5×	182 1.6×	55 0.6×	30	709
Marta Gislene Pignatti	213 0.7×	18 0.1×	24 0.2×	36 0.3×	11 0.1×	32	576
Maria Alice Amorim Garcia	132 0.5×	32 0.2×	19 0.2×	140 1.3×	32 0.4×	44	569
Samir Messad	115 0.4×	53 0.3×	47 0.4×	270 2.4×	62 0.7×	37	689
Marizvikuru Mwale	210 0.7×	57 0.3×	16 0.1×	106 1.0×	41 0.5×	56	705
Blessing Mhlanga	322 1.1×	176 0.9×	36 0.3×	146 1.3×	20 0.2×	34	652
Susan A. Mainka	87 0.3×	63 0.3×	17 0.1×	134 1.2×	188 2.2×	21	718
Maria Elena García	130 0.5×	21 0.1×	40 0.3×	75 0.7×	104 1.2×	89	769
Priscilla Muriel	93 0.3×	25 0.1×	16 0.1×	305 2.7×	90 1.0×	16	772

Countries citing papers authored by Laure Emperaire

Since Specialization

Citations

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

Fields of papers citing papers by Laure Emperaire

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laure Emperaire

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

All Works

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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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