Francesca Mancini

52 total papers · 1.4k total citations
25 papers, 909 citations indexed

About

Francesca Mancini is a scholar working on Ecology, Ecological Modeling and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Francesca Mancini has authored 25 papers receiving a total of 909 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Ecology, 8 papers in Ecological Modeling and 7 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Francesca Mancini's work include Species Distribution and Climate Change (8 papers), Wildlife Ecology and Conservation (6 papers) and Pesticide Exposure and Toxicity (5 papers). Francesca Mancini is often cited by papers focused on Species Distribution and Climate Change (8 papers), Wildlife Ecology and Conservation (6 papers) and Pesticide Exposure and Toxicity (5 papers). Francesca Mancini collaborates with scholars based in United Kingdom, Netherlands and Switzerland. Francesca Mancini's co-authors include David Lusseau, Janice Jiggins, A.H.C. van Bruggen, George M. Coghill, Nick J. B. Isaac, Helen Murphy, Ben A. Woodcock, A.J. Termorshuizen, Helen Murphy and Michael O’Malley and has published in prestigious journals such as PLoS ONE, Current Biology and Proceedings of the Royal Society B Biological Sciences.

In The Last Decade

Francesca Mancini

25 papers receiving 843 citations

Author Peers

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

Author						Papers	Cites
Francesca Mancini	245	191	134	131	111	25	909
Marianne Lefebvre	199 0.8×	295 1.5×	253 1.9×	97 0.7×	198 1.8×	28	877
Jikun Huang	149 0.6×	170 0.9×	123 0.9×	120 0.9×	164 1.5×	32	753
Charles C. Crissman	280 1.1×	157 0.8×	267 2.0×	120 0.9×	122 1.1×	38	979
Christine McCullum	272 1.1×	179 0.9×	67 0.5×	108 0.8×	100 0.9×	19	845
M. M. Escalada	279 1.1×	200 1.0×	214 1.6×	122 0.9×	43 0.4×	28	854
Robert Mavsar	120 0.5×	434 2.3×	91 0.7×	80 0.6×	154 1.4×	31	787
Gisella S. Cruz García	306 1.2×	383 2.0×	176 1.3×	129 1.0×	126 1.1×	29	946
R. Plant	253 1.0×	198 1.0×	44 0.3×	128 1.0×	43 0.4×	43	772
Samir Sayadi	267 1.1×	231 1.2×	140 1.0×	73 0.6×	203 1.8×	60	890
Rosa Binimelis	349 1.4×	117 0.6×	139 1.0×	230 1.8×	46 0.4×	26	830

Countries citing papers authored by Francesca Mancini

Since Specialization

Citations

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

Fields of papers citing papers by Francesca Mancini

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesca Mancini

This figure shows the co-authorship network connecting the top 25 collaborators of Francesca Mancini. A scholar is included among the top collaborators of Francesca Mancini 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 Francesca Mancini. Francesca Mancini 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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