Paolo Paradisi

47 papers and 1.5k indexed citations i.

About

Paolo Paradisi is a scholar working on Statistical and Nonlinear Physics, Modeling and Simulation and Economics and Econometrics. According to data from OpenAlex, Paolo Paradisi has authored 47 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Statistical and Nonlinear Physics, 13 papers in Modeling and Simulation and 12 papers in Economics and Econometrics. Recurrent topics in Paolo Paradisi’s work include Fractional Differential Equations Solutions (13 papers), Complex Systems and Time Series Analysis (12 papers) and stochastic dynamics and bifurcation (11 papers). Paolo Paradisi is often cited by papers focused on Fractional Differential Equations Solutions (13 papers), Complex Systems and Time Series Analysis (12 papers) and stochastic dynamics and bifurcation (11 papers). Paolo Paradisi collaborates with scholars based in Italy, Spain and United States. Paolo Paradisi's co-authors include Francesco Mainardi, Rudolf Gorenflo, Gianni Pagnini, Paolo Grigolini, Paolo Allegrini, Francesco Tampieri, Danilo Menicucci, Angelo Gemignani, Simone Bianco and Remo Bedini and has published in prestigious journals such as The Journal of Chemical Physics, Chemical Physics Letters and Frontiers in Psychology.

In The Last Decade

Co-authorship network of co-authors of Paolo Paradisi i

Fields of papers citing papers by Paolo Paradisi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Paolo Paradisi

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025