G. Nunnari

76 papers and 1.2k indexed citations i.

About

G. Nunnari is a scholar working on Artificial Intelligence, Geophysics and Statistical and Nonlinear Physics. According to data from OpenAlex, G. Nunnari has authored 76 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 16 papers in Geophysics and 13 papers in Statistical and Nonlinear Physics. Recurrent topics in G. Nunnari’s work include Model Reduction and Neural Networks (13 papers), Air Quality Monitoring and Forecasting (11 papers) and Earthquake Detection and Analysis (10 papers). G. Nunnari is often cited by papers focused on Model Reduction and Neural Networks (13 papers), Air Quality Monitoring and Forecasting (11 papers) and Earthquake Detection and Analysis (10 papers). G. Nunnari collaborates with scholars based in Italy, United Kingdom and Germany. G. Nunnari's co-authors include Luigi Fortuna, Α. Gallo, Giuseppe Puglisi, Uwe Schlink, Stephen Dorling, Gavin C. Cawley, Sonia Calvari, Francesco Guglielmino, C. Randieri and Luigi G. Occhipinti and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, IEEE Transactions on Automatic Control and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of G. Nunnari i

Fields of papers citing papers by G. Nunnari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by G. Nunnari

Since Specialization
Citations

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