Marco Patriarca

57 papers and 1.5k indexed citations i.

About

Marco Patriarca is a scholar working on Statistical and Nonlinear Physics, Atomic and Molecular Physics, and Optics and Economics and Econometrics. According to data from OpenAlex, Marco Patriarca has authored 57 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Statistical and Nonlinear Physics, 14 papers in Atomic and Molecular Physics, and Optics and 14 papers in Economics and Econometrics. Recurrent topics in Marco Patriarca’s work include Complex Systems and Time Series Analysis (14 papers), stochastic dynamics and bifurcation (12 papers) and Opinion Dynamics and Social Influence (11 papers). Marco Patriarca is often cited by papers focused on Complex Systems and Time Series Analysis (14 papers), stochastic dynamics and bifurcation (12 papers) and Opinion Dynamics and Social Influence (11 papers). Marco Patriarca collaborates with scholars based in Estonia, Italy and Germany. Marco Patriarca's 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 and has published in prestigious journals such as Physical Review Letters, Materials Science and Engineering A and Computer Physics Communications.

In The Last Decade

Co-authorship network of co-authors of Marco Patriarca i

Fields of papers citing papers by Marco Patriarca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Marco Patriarca

Since Specialization
Citations

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).

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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2025