Mauro Mucedda

46 total papers · 838 total citations
30 papers, 678 citations indexed

About

Mauro Mucedda is a scholar working on Ecology, Evolution, Behavior and Systematics, Ecological Modeling and Ecology. According to data from OpenAlex, Mauro Mucedda has authored 30 papers receiving a total of 678 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Ecology, Evolution, Behavior and Systematics, 11 papers in Ecological Modeling and 6 papers in Ecology. Recurrent topics in Mauro Mucedda's work include Bat Biology and Ecology Studies (15 papers), Species Distribution and Climate Change (11 papers) and Yersinia bacterium, plague, ectoparasites research (4 papers). Mauro Mucedda is often cited by papers focused on Bat Biology and Ecology Studies (15 papers), Species Distribution and Climate Change (11 papers) and Yersinia bacterium, plague, ectoparasites research (4 papers). Mauro Mucedda collaborates with scholars based in Italy, Germany and Portugal. Mauro Mucedda's co-authors include Danilo Russo, Gareth Jones, Michael Veith, Andreas Kiefer, Michel Baylac, Allowen Evin, Ylenia Chiari, Arie van der Meijden, Jo De Waele and Antonio Saba and has published in prestigious journals such as PLoS ONE, Tetrahedron and Tetrahedron Letters.

In The Last Decade

Mauro Mucedda

28 papers receiving 648 citations

Author Peers

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

Author						Papers	Cites
Mauro Mucedda	365	292	217	121	111	30	678
Kevin L. Seymour	286 0.8×	383 1.3×	65 0.3×	101 0.8×	43 0.4×	19	756
Neil M. Furey	430 1.2×	239 0.8×	203 0.9×	83 0.7×	59 0.5×	40	572
David W. Nagorsen	311 0.9×	488 1.7×	159 0.7×	196 1.6×	27 0.2×	52	787
Luis Daniel Ávila-Cabadilla	429 1.2×	334 1.1×	209 1.0×	53 0.4×	46 0.4×	28	781
James B. Cope	451 1.2×	366 1.3×	99 0.5×	38 0.3×	68 0.6×	30	583
Colin James Oliver Harrison	259 0.7×	554 1.9×	85 0.4×	97 0.8×	27 0.2×	18	769
Antonio Guillén-Servent	521 1.4×	295 1.0×	239 1.1×	121 1.0×	78 0.7×	34	705
Mariana Yólotl Álvarez-Añorve	387 1.1×	245 0.8×	140 0.6×	48 0.4×	28 0.3×	23	689
Keith Geluso	315 0.9×	392 1.3×	124 0.6×	48 0.4×	56 0.5×	77	555
Vu Dinh Thong	473 1.3×	233 0.8×	246 1.1×	121 1.0×	58 0.5×	58	580

Countries citing papers authored by Mauro Mucedda

Since Specialization

Citations

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

Fields of papers citing papers by Mauro Mucedda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mauro Mucedda

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