Paolo Paradisi
- Modeling and Simulation top 0.2%
- Fractional Differential Equations Solutions 17
- Numerical Analysis top 2%
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- stochastic dynamics and bifurcation 10
- Statistical Mechanics and Entropy 8
- Advanced Thermodynamics and Statistical Mechanics 6
- Applied Mathematics top 2%
- Mathematical Physics top 10%
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- Complex Systems and Time Series Analysis 13
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- Neural dynamics and brain function 6
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- Wind and Air Flow Studies 6
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- Ecosystem dynamics and resilience 6
- Co-authors
- Francesco MainardiRudolf GorenfloGianni PagniniPaolo AllegriniPaolo GrigoliniFrancesco TampieriAngelo GemignaniDanilo Menicucci
- Journals
- Chemical Physics Letters (1 paper)Frontiers in Psychology (1 paper)Physica A Statistical Mechanics and its Applications (3 papers)
- Partner nations
- ItalySpainUnited States
In The Last Decade
Paolo Paradisi
54 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 120
- Modeling and Simulation 897
- Numerical Analysis 402
- Statistical and Nonlinear Physics 383
- Applied Mathematics 236
- Mathematical Physics 109
Countries citing papers authored by Paolo Paradisi
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).
Fields of papers citing papers by Paolo Paradisi
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.
Co-authorship network
The 25 scholars most cited alongside Paolo Paradisi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 1 | |
| 2 | 2022 | 7 | |
| 3 | 2021 | 14 | |
| 4 | 2019 | 12 | |
| 5 | 2018 | 31 | |
| 6 | 2016 | 20 | |
| 7 | 2016 | 1 | |
| 8 | 2015 | 10 | |
| 9 | 2015 | 33 | |
| 10 | 2013 | 17 | |
| 11 | 2013 | 1 | |
| 12 | 2011 | 8 | |
| 13 | 2010 | 22 | |
| 14 | 2009 | 93 | |
| 15 | 2007 | 77 | |
| 16 | 2006 | 34 | |
| 17 | 2004 | 4 | |
| 18 | 2002 | 217 | |
| 19 | Stability analysis of solid particle motion in rotational flows | 2001 | 2 |
| 20 | 2001 | 4 |
About Paolo Paradisi
Paolo Paradisi is a scholar working on Modeling and Simulation, Statistical and Nonlinear Physics and Global and Planetary Change, having authored 54 papers that have together received 1.6k indexed citations. Recurring topics across this work include Fractional Differential Equations Solutions (17 papers), Complex Systems and Time Series Analysis (13 papers), stochastic dynamics and bifurcation (10 papers), Statistical Mechanics and Entropy (8 papers), Advanced Thermodynamics and Statistical Mechanics (6 papers), Neural dynamics and brain function (6 papers), Wind and Air Flow Studies (6 papers) and Ecosystem dynamics and resilience (6 papers). The work is most often cited by research in Modeling and Simulation (897 citations), Numerical Analysis (402 citations) and Statistical and Nonlinear Physics (383 citations). Paolo Paradisi has collaborated with scholars based in Italy, Spain and United States. Frequent co-authors include Francesco Mainardi, Rudolf Gorenflo, Gianni Pagnini, Paolo Allegrini, Paolo Grigolini, Francesco Tampieri, Angelo Gemignani, Danilo Menicucci, Silvana Di Sabatino and Remo Bedini. Their work appears in journals such as Chemical Physics Letters, Frontiers in Psychology and Physica A Statistical Mechanics and its Applications.
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.