L. Pietronero

15.3k total citations · 2 hit papers
303 papers, 10.2k citations indexed

About

L. Pietronero is a scholar working on Condensed Matter Physics, Economics and Econometrics and Statistical and Nonlinear Physics. According to data from OpenAlex, L. Pietronero has authored 303 papers receiving a total of 10.2k indexed citations (citations by other indexed papers that have themselves been cited), including 137 papers in Condensed Matter Physics, 89 papers in Economics and Econometrics and 74 papers in Statistical and Nonlinear Physics. Recurrent topics in L. Pietronero's work include Theoretical and Computational Physics (90 papers), Complex Systems and Time Series Analysis (61 papers) and Physics of Superconductivity and Magnetism (43 papers). L. Pietronero is often cited by papers focused on Theoretical and Computational Physics (90 papers), Complex Systems and Time Series Analysis (61 papers) and Physics of Superconductivity and Magnetism (43 papers). L. Pietronero collaborates with scholars based in Italy, Switzerland and Netherlands. L. Pietronero's co-authors include S. Strässler, H. J. Wiesmann, L. Niemeyer, Guido Caldarelli, Matthieu Cristelli, Andrea Tacchella, Andrea Gabrielli, Claudio Grimaldi, E. Cappelluti and Erio Tosatti and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Physical Review Letters.

In The Last Decade

L. Pietronero

297 papers receiving 9.7k citations

Hit Papers

Fractal Dimension of Diel... 1984 2026 1998 2012 1984 2012 400 800 1.2k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
L. Pietronero Italy 52 3.5k 2.5k 2.4k 1.9k 1.4k 303 10.2k
Dietrich Stauffer Germany 32 3.9k 1.1× 3.2k 1.3× 1.1k 0.5× 2.4k 1.3× 1.5k 1.1× 223 12.6k
Chao Tang China 47 5.7k 1.6× 3.2k 1.3× 2.5k 1.1× 3.0k 1.5× 1.7k 1.2× 233 20.3k
Jean‐Philippe Bouchaud France 55 4.3k 1.2× 3.7k 1.5× 5.0k 2.1× 3.6k 1.9× 1.8k 1.3× 241 15.5k
Michael F. Shlesinger United States 43 1.8k 0.5× 1.6k 0.7× 1.1k 0.5× 3.0k 1.6× 1.3k 0.9× 148 9.1k
Armin Bunde Germany 62 3.7k 1.0× 3.0k 1.2× 7.8k 3.3× 4.8k 2.5× 1.1k 0.8× 308 18.6k
B. B. Mandelbrot United States 24 2.6k 0.7× 1.1k 0.4× 2.3k 1.0× 2.3k 1.2× 879 0.6× 47 14.1k
Edward Teller United States 24 3.4k 1.0× 4.9k 2.0× 743 0.3× 1.9k 1.0× 5.2k 3.6× 122 28.3k
Sidney Redner United States 17 2.8k 0.8× 2.0k 0.8× 674 0.3× 2.9k 1.5× 1.2k 0.8× 30 10.7k
Harvey Gould United States 26 1.5k 0.4× 1.7k 0.7× 540 0.2× 1.3k 0.7× 1.8k 1.2× 98 12.0k
James P. Sethna United States 61 4.5k 1.3× 4.0k 1.6× 713 0.3× 1.7k 0.9× 4.4k 3.1× 210 14.8k

Countries citing papers authored by L. Pietronero

Since Specialization
Citations

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

Fields of papers citing papers by L. Pietronero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of L. Pietronero

This figure shows the co-authorship network connecting the top 25 collaborators of L. Pietronero. A scholar is included among the top collaborators of L. Pietronero based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with L. Pietronero. L. Pietronero is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Mariani, Manuel Sebastian, et al.. (2023). The different structure of economic ecosystems at the scales of companies and countries. Journal of Physics Complexity. 4(2). 25011–25011. 4 indexed citations
2.
Pietronero, L., et al.. (2023). Product progression: a machine learning approach to forecasting industrial upgrading. Scientific Reports. 13(1). 1481–1481. 13 indexed citations
3.
Javarone, Marco Alberto, et al.. (2023). Disorder unleashes panic in bitcoin dynamics. Journal of Physics Complexity. 4(4). 45002–45002. 3 indexed citations
4.
Labini, Francesco Sylos, et al.. (2021). Zipf’s law for cosmic structures: How large are the greatest structures in the universe?. Springer Link (Chiba Institute of Technology). 10 indexed citations
5.
Cosmai, Leonardo, Giuseppe Fanizza, Francesco Sylos Labini, L. Pietronero, & Luigi Tedesco. (2018). Fractal universe and cosmic acceleration in a Lemaître–Tolman–Bondi scenario. Classical and Quantum Gravity. 36(4). 45007–45007. 18 indexed citations
6.
Pugliese, Emanuele, G. Chiarotti, Andrea Zaccaria, & L. Pietronero. (2017). Complex Economies Have a Lateral Escape from the Poverty Trap. PLoS ONE. 12(1). e0168540–e0168540. 48 indexed citations
7.
Zaccaria, Andrea, et al.. (2015). Liquidity crises on different time scales. Physical Review E. 92(6). 62802–62802. 3 indexed citations
8.
Cristelli, Matthieu, Andrea Tacchella, Andrea Zaccaria, & L. Pietronero. (2014). Growth scenarios for sub-Saharan countries in the framework of economic complexity. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 5 indexed citations
9.
Tacchella, Andrea, Matthieu Cristelli, Guido Caldarelli, Andrea Gabrielli, & L. Pietronero. (2012). A New Metrics for Countries' Fitness and Products' Complexity. Scientific Reports. 2(1). 723–723. 347 indexed citations breakdown →
10.
Caldarelli, Guido, Matthieu Cristelli, Andrea Gabrielli, et al.. (2012). A Network Analysis of Countries’ Export Flows: Firm Grounds for the Building Blocks of the Economy. PLoS ONE. 7(10). e47278–e47278. 133 indexed citations
11.
Caldarelli, Guido, Matthieu Cristelli, Andrea Gabrielli, et al.. (2011). Ranking and clustering countries and their products; a network analysis. arXiv (Cornell University). 4 indexed citations
12.
Labini, Francesco Sylos & L. Pietronero. (2010). The complex universe: recent observations and theoretical challenges. Journal of Statistical Mechanics Theory and Experiment. 2010(11). P11029–P11029. 7 indexed citations
13.
Parisi, Giorgio, et al.. (2007). Conference registration: how people react to a deadline. Nature Physics. 3(11). 746–746. 16 indexed citations
14.
Joyce, Michael, Francesco Sylos Labini, Andrea Gabrielli, M. Montuori, & L. Pietronero. (2005). Basic properties of galaxy clustering in the lightof recent results from the Sloan Digital Sky Survey. Springer Link (Chiba Institute of Technology). 27 indexed citations
15.
Montuori, M., et al.. (2004). Fractals vs. halos: Asymptotic scaling without fractal properties. Europhysics Letters (EPL). 66(4). 610–616. 2 indexed citations
16.
Durrer, Ruth, et al.. (1997). Angular Projection of Fractal Sets. arXiv (Cornell University).
17.
Pietronero, L., M. Montuori, & Francesco Sylos Labini. (1996). On the Fractal Structure of the Visible Universe. CERN Bulletin. 24. 3 indexed citations
18.
Labini, Francesco Sylos, Andrea Gabrielli, M. Montuori, & L. Pietronero. (1996). Finite size effects on the galaxy number counts: evidence for fractal behavior up to the deepest scale. 22 indexed citations
19.
Pietronero, L.. (1985). FRACTAL DIMENSION OF DIELECTRIC-BREAKDOWN. Data Archiving and Networked Services (DANS). 1 indexed citations
20.
Brüesch, P., R. Kötz, H. Neff, & L. Pietronero. (1984). Vibrational properties ofAl2O3films on gold, aluminum, and silicon. Physical review. B, Condensed matter. 29(8). 4691–4696. 74 indexed citations

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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