Enrico Marchesini

26 papers and 275 indexed citations i.

About

Enrico Marchesini is a scholar working on Artificial Intelligence, Insect Science and Plant Science. According to data from OpenAlex, Enrico Marchesini has authored 26 papers receiving a total of 275 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 10 papers in Insect Science and 6 papers in Plant Science. Recurrent topics in Enrico Marchesini’s work include Reinforcement Learning in Robotics (11 papers), Insect-Plant Interactions and Control (8 papers) and Insect behavior and control techniques (4 papers). Enrico Marchesini is often cited by papers focused on Reinforcement Learning in Robotics (11 papers), Insect-Plant Interactions and Control (8 papers) and Insect behavior and control techniques (4 papers). Enrico Marchesini collaborates with scholars based in Italy, United States and Mexico. Enrico Marchesini's co-authors include Alessandro Farinelli, Sara Pasquali, Gianni Gilioli, Daniele Sommaggio, Giovanni Burgio, Alberto Castellini, Anton Pijl, Eugenio Straffelini, Paolo Tarolli and Andrea Pitacco and has published in prestigious journals such as Environmental Science and Pollution Research, Ecological Modelling and Soil and Tillage Research.

In The Last Decade

Co-authorship network of co-authors of Enrico Marchesini i

Fields of papers citing papers by Enrico Marchesini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Enrico Marchesini

Since Specialization
Citations

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