Francesco Martoni

48 total papers · 454 total citations
28 papers, 216 citations indexed

About

Francesco Martoni is a scholar working on Plant Science, Insect Science and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Francesco Martoni has authored 28 papers receiving a total of 216 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Plant Science, 17 papers in Insect Science and 14 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Francesco Martoni's work include Phytoplasmas and Hemiptera pathogens (15 papers), Cocoa and Sweet Potato Agronomy (6 papers) and Insect symbiosis and bacterial influences (5 papers). Francesco Martoni is often cited by papers focused on Phytoplasmas and Hemiptera pathogens (15 papers), Cocoa and Sweet Potato Agronomy (6 papers) and Insect symbiosis and bacterial influences (5 papers). Francesco Martoni collaborates with scholars based in Australia, New Zealand and Italy. Francesco Martoni's co-authors include Karen Armstrong, Mark J. Blacket, Gary S. Taylor, Alexander M. Piper, Simon Bulman, Andrew R. Pitman, Brendan Rodoni, Isabel Valenzuela, Daniel Burckhardt and Samuel D. J. Brown and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Francesco Martoni

26 papers receiving 206 citations

Author Peers

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

Author Last Decade Papers Cites
Francesco Martoni 118 102 94 79 41 28 216
Jacinto Benhadi‐Marín 192 1.6× 126 1.2× 93 1.0× 62 0.8× 34 0.8× 33 291
Luis Miguel Constantino 193 1.6× 137 1.3× 105 1.1× 43 0.5× 36 0.9× 50 322
Luca Picciau 188 1.6× 198 1.9× 122 1.3× 47 0.6× 19 0.5× 35 326
Abdelmutalab G. A. Azrag 222 1.9× 105 1.0× 51 0.5× 58 0.7× 40 1.0× 30 286
Giuseppe Stancanelli 66 0.6× 114 1.1× 30 0.3× 48 0.6× 26 0.6× 20 207
Chandrika Mohan 126 1.1× 114 1.1× 52 0.6× 47 0.6× 24 0.6× 37 182
Paul A. Lenhart 193 1.6× 86 0.8× 131 1.4× 40 0.5× 25 0.6× 17 321
Futoshi Kawamura 256 2.2× 98 1.0× 101 1.1× 133 1.7× 45 1.1× 19 328
Éric Pierre 86 0.7× 37 0.4× 124 1.3× 115 1.5× 65 1.6× 30 265
Ignazio Graziosi 125 1.1× 173 1.7× 96 1.0× 89 1.1× 27 0.7× 38 309

Countries citing papers authored by Francesco Martoni

Since Specialization
Citations

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

Fields of papers citing papers by Francesco Martoni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco Martoni

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