M. Greatti

6 papers and 490 indexed citations i.

About

M. Greatti is a scholar working on Insect Science, Ecology, Evolution, Behavior and Systematics and Genetics. According to data from OpenAlex, M. Greatti has authored 6 papers receiving a total of 490 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Insect Science, 5 papers in Ecology, Evolution, Behavior and Systematics and 4 papers in Genetics. Recurrent topics in M. Greatti’s work include Insect and Pesticide Research (6 papers), Plant and animal studies (5 papers) and Insect and Arachnid Ecology and Behavior (4 papers). M. Greatti is often cited by papers focused on Insect and Pesticide Research (6 papers), Plant and animal studies (5 papers) and Insect and Arachnid Ecology and Behavior (4 papers). M. Greatti collaborates with scholars based in Italy. M. Greatti's co-authors include Matteo Marzaro, V. Girolami, Chiara Giorio, Luca Mazzon, Andrea Tapparo, Nicola Mori, Andrea Squartini, N. Milani, Francesco Nazzi and Daniele Marton and has published in prestigious journals such as Journal of Economic Entomology, Experimental and Applied Acarology and Journal of Applied Entomology.

In The Last Decade

Co-authorship network of co-authors of M. Greatti i

Fields of papers citing papers by M. Greatti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by M. Greatti

Since Specialization
Citations

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

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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2025