Massimo Angelone

30 papers and 1.7k indexed citations i.

About

Massimo Angelone is a scholar working on Pollution, Artificial Intelligence and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Massimo Angelone has authored 30 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Pollution, 11 papers in Artificial Intelligence and 8 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Massimo Angelone’s work include Heavy metals in environment (18 papers), Geochemistry and Geologic Mapping (11 papers) and Analytical chemistry methods development (8 papers). Massimo Angelone is often cited by papers focused on Heavy metals in environment (18 papers), Geochemistry and Geologic Mapping (11 papers) and Analytical chemistry methods development (8 papers). Massimo Angelone collaborates with scholars based in Italy, Morocco and United Kingdom. Massimo Angelone's co-authors include Adriana Bellanca, Rodolfo Neri, Mario Sprovieri, Daniela Salvagio Manta, Carlo Cremisini, Rossella Di Leonardo, Orlando Vaselli, D. Cinti, Marco Proposito and A. Palucci and has published in prestigious journals such as The Science of The Total Environment, Chemosphere and Chemical Geology.

In The Last Decade

Co-authorship network of co-authors of Massimo Angelone i

Fields of papers citing papers by Massimo Angelone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Massimo Angelone

Since Specialization
Citations

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