M. Poscolieri

19 papers and 375 indexed citations i.

About

M. Poscolieri is a scholar working on Artificial Intelligence, Geophysics and Environmental Engineering. According to data from OpenAlex, M. Poscolieri has authored 19 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 8 papers in Geophysics and 5 papers in Environmental Engineering. Recurrent topics in M. Poscolieri’s work include Geochemistry and Geologic Mapping (7 papers), earthquake and tectonic studies (5 papers) and Earthquake Detection and Analysis (5 papers). M. Poscolieri is often cited by papers focused on Geochemistry and Geologic Mapping (7 papers), earthquake and tectonic studies (5 papers) and Earthquake Detection and Analysis (5 papers). M. Poscolieri collaborates with scholars based in Italy, Greece and Argentina. M. Poscolieri's co-authors include Rosa Maria Cavalli, Stefano Pignatti, Simone Pascucci, Angelo Palombo, Issaak Parcharidis, Kosmas Pavlopoulos, G. Paparo, Federico Santini, Lorenzo Fusilli and V. Cuomo and has published in prestigious journals such as Remote Sensing of Environment, Sensors and Geomorphology.

In The Last Decade

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

Fields of papers citing papers by M. Poscolieri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by M. Poscolieri

Since Specialization
Citations

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