Marco Patriarca
Impact in
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- stochastic dynamics and bifurcation
- Opinion Dynamics and Social Influence
- Advanced Thermodynamics and Statistical Mechanics
- Modeling and Simulation top 1%
- Fractional Differential Equations Solutions
Papers in
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- stochastic dynamics and bifurcation 12
- Opinion Dynamics and Social Influence 10
- Advanced Thermodynamics and Statistical Mechanics 7
- Co-authors
- Anirban Chakraborti (11 shared papers)Els Heinsalu (32 shared papers)Ioane Muni Toke (2 shared papers)Frédéric Abergel (2 shared papers)Kimmo Kaski (10 shared papers)Peter Hänggi (6 shared papers)Igor Goychuk (6 shared papers)Teemu Leppänen (1 shared paper)
In The Last Decade
Marco Patriarca
54 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 103
- Statistical and Nonlinear Physics 661
- Modeling and Simulation 186
- Economics and Econometrics 582
- Finance 190
- Cultural Studies 139
Countries citing papers authored by Marco Patriarca
This map shows the geographic impact of Marco Patriarca'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 Marco Patriarca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marco Patriarca more than expected).
Fields of papers citing papers by Marco Patriarca
This network shows the impact of papers produced by Marco Patriarca. 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 Marco Patriarca. The network helps show where Marco Patriarca may publish in the future.
Co-authors
The 25 scholars most cited alongside Marco Patriarca, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 215 | |
| 2 | 2011 | 150 | |
| 3 | 2004 | 93 | |
| 4 | 2004 | 88 | |
| 5 | 2006 | 86 | |
| 6 | 2007 | 79 | |
| 7 | 2006 | 56 | |
| 8 | 2008 | 55 | |
| 9 | 2009 | 54 | |
| 10 | 2008 | 42 | |
| 11 | 2006 | 35 | |
| 12 | 2003 | 34 | |
| 13 | 2009 | 32 | |
| 14 | 2021 | 27 | |
| 15 | 2004 | 26 | |
| 16 | 2013 | 23 | |
| 17 | 2014 | 23 | |
| 18 | 2005 | 23 | |
| 19 | 2009 | 22 | |
| 20 | 2007 | 21 |
About Marco Patriarca
Marco Patriarca is a scholar working on Statistical and Nonlinear Physics, Atomic and Molecular Physics, and Optics, Economics and Econometrics, Cultural Studies and Artificial Intelligence, having authored 58 papers that have together received 1.4k indexed citations. Recurring topics across this work include stochastic dynamics and bifurcation (12 papers), Complex Systems and Time Series Analysis (10 papers), Opinion Dynamics and Social Influence (10 papers), Language and cultural evolution (9 papers), Advanced Thermodynamics and Statistical Mechanics (7 papers), Microstructure and mechanical properties (6 papers), Nonlinear Dynamics and Pattern Formation (6 papers) and Fractional Differential Equations Solutions (5 papers). The work is most often cited by research in Statistical and Nonlinear Physics (661 citations), Modeling and Simulation (186 citations), Economics and Econometrics (582 citations), Finance (190 citations) and Cultural Studies (139 citations). Marco Patriarca has collaborated with scholars based in Estonia, Italy and Germany. Frequent co-authors include Anirban Chakraborti, Els Heinsalu, Ioane Muni Toke, Frédéric Abergel, Kimmo Kaski, Peter Hänggi, Igor Goychuk, Teemu Leppänen, Gerhard Schmid and Guido Germano. Their work appears in journals such as Physica A Statistical Mechanics and its Applications, Physical review. E, The European Physical Journal B, Quantitative Finance and Modelling and Simulation in Materials Science and Engineering.
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.