Minimal agent based model for financial markets I: Origin and Self-Organization of Stylized Facts V Alfi, M Cristelli, L Pietronero, A Zaccaria The European Physical Journal B 67 (3), 385-397, 2009 | 122 | 2009 |
How the taxonomy of products drives the economic development of countries A Zaccaria, M Cristelli, A Tacchella, L Pietronero PloS one 9 (12), e113770, 2014 | 113 | 2014 |
Unfolding the innovation system for the development of countries: coevolution of Science, Technology and Production E Pugliese, G Cimini, A Patelli, A Zaccaria, L Pietronero, A Gabrielli Scientific reports 9 (1), 16440, 2019 | 108 | 2019 |
On the convergence of the Fitness-Complexity Algorithm E Pugliese, A Zaccaria, L Pietronero The European Physical Journal Special Topics 225, 1893-1911, 2016 | 90 | 2016 |
Complex economies have a lateral escape from the poverty trap E Pugliese, GL Chiarotti, A Zaccaria, L Pietronero PloS one 12 (1), e0168540, 2017 | 79 | 2017 |
Critical overview of agent-based models for economics M Cristelli, L Pietronero, A Zaccaria arXiv preprint arXiv:1101.1847, 2011 | 79 | 2011 |
Investigating the interplay between fundamentals of national research systems: Performance, investments and international collaborations G Cimini, A Zaccaria, A Gabrielli Journal of Informetrics 10 (1), 200-211, 2016 | 68 | 2016 |
A case study for a new metrics for economic complexity: The Netherlands A Zaccaria, M Cristelli, R Kupers, A Tacchella, L Pietronero Journal of Economic Interaction and Coordination 11, 151-169, 2016 | 58 | 2016 |
Minimal Agent Based Model for Financial Markets II: Statistical Properties of the Linear and Multiplicative Dynamics V Alfi, M Cristelli, L Pietronero, A Zaccaria The European Physical Journal B 67 (3), 399-417, 2009 | 58 | 2009 |
Considering patient clinical history impacts performance of machine learning models in predicting course of multiple sclerosis R Seccia, D Gammelli, F Dominici, S Romano, AC Landi, M Salvetti, ... PloS one 15 (3), e0230219, 2020 | 53 | 2020 |
Collaboration between a human group and artificial intelligence can improve prediction of multiple sclerosis course: a proof-of-principle study A Tacchella, S Romano, M Ferraldeschi, M Salvetti, A Zaccaria, A Crisanti, ... F1000Research 6, 2017 | 47 | 2017 |
The role of complex analysis in modelling economic growth A Sbardella, E Pugliese, A Zaccaria, P Scaramozzino Entropy 20 (11), 883, 2018 | 43 | 2018 |
Universal relation between skewness and kurtosis in complex dynamics M Cristelli, A Zaccaria, L Pietronero Physical Review E 85 (066108), 2012 | 43 | 2012 |
Coherent diversification in corporate technological portfolios E Pugliese, L Napolitano, A Zaccaria, L Pietronero PloS one 14 (10), e0223403, 2019 | 41 | 2019 |
Integrating services in the economic fitness approach A Zaccaria, S Mishra, MZ Cader, L Pietronero World Bank Policy Research Working Paper, 2018 | 38 | 2018 |
Memory effects in stock price dynamics: evidences of technical trading F Garzarelli, M Cristelli, G Pompa, A Zaccaria, L Pietronero Scientific reports 4 (1), 4487, 2014 | 37 | 2014 |
Dynamical approach to Zipf's law G De Marzo, A Gabrielli, A Zaccaria, L Pietronero Physical Review Research 3 (1), 013084, 2021 | 32 | 2021 |
Emergence of polarization in a voter model with personalized information G De Marzo, A Zaccaria, C Castellano Physical Review Research 2 (4), 043117, 2020 | 32 | 2020 |
Self-organization for the stylized facts and finite-size effects in a financial-market model V Alfi, L Pietronero, A Zaccaria Europhysics Letters 86 (5), 58003, 2009 | 31* | 2009 |
Relatedness in the era of machine learning A Tacchella, A Zaccaria, M Miccheli, L Pietronero Chaos, Solitons & Fractals 176, 114071, 2023 | 29 | 2023 |