Tiziana Di Matteo - Selected Publications#

Di Matteo has –to date– more than 120 papers published or in press in prestigious, leading international journals and several others in preparation. Her publications are in different fields of research indicating a sustained level of excellence throughout her career and they are the results of joint works with world leader scientists with whom she is collaborating and her PhD students. Her contribution in all these papers, except the once where she is sole author, can be estimated to be 70%. Di Matteo’s HIRSCH factor is H=42 (Google Scholar). Her total number of citations is 7837.

The impact on the field can be inferred by the journal impact factor (JI below), their own citations (CI below) and the large number of invitations to deliver keynote talks at international forums. More importantly, Di Matteo’s scientific papers have also generated two REF impact cases at KCL. Di Matteo’s 10 research outputs that provide an overview of her research contributions are listed below:

[1] Boris Podobnik, Marina Dabic, Dorian Wild, T. Di Matteo, "The impact of STEM on the growth of wealth at varying scales, ranging from individuals to firms and countries: the performance of STEM firms during the pandemic across different markets", Technology in Society 72 (2023) 102148. JI: 6.879, CI: 1.

[2] G. Brandi, T. Di Matteo, "Multiscaling and rough volatility: an empirical investigation", International Review of Financial Analysis 84 (2022) 102324. JI: 8.235, CI: 0.

[3] G. Brandi, T. Di Matteo, "Predicting Multidimensional Data via Tensor Learning", Journal of Computational Science 53 (2021) 101372. JI: 3.817, CI: 8.

[4] Anshul Verma, Orazio Angelini and T. Di Matteo, "A new set of cluster driven composite development indicators", EPJ Data Sci. 9, 8 (2020). JI: 3.63, CI: 5.

[5] R. Kutner, M. Auslooos, D. Grech, T. Di Matteo, C. Schinckus, H. E. Stanley "Econophysics and sociophysics: Their milestones & challenges", Physica A 516 (2019) 240. JI: 3.778, CI: 100.

[6] T. Aste, P. Tasca and T. Di Matteo, "Blockchain Technologies: The Foreseeable Impact on Society and Industry" (COMSI-2017-02-0035), Computer, vol. 50, issue 9 (2017) 18. JI: 2.2, CI: 748.

[7] J. Buonocore, T. Aste, T. Di Matteo, "Measuring multiscaling in financial time-series", Chaos, Solitons and Fractals 88 (2016) 38. JI: 9.922, CI: 60.

[8] Wolfram Barfuss, Guido Previde Massara, T. Di Matteo, Tomaso Aste, "Parsimonious Modeling with Information Filtering Networks", Phys. Rev. E 94 (2016) 062306. JI: 2.707, CI: 81.

[9] T. Di Matteo, T. Aste and M. M. Dacorogna, "Long term memories of developed and emerging markets: using the scaling analysis to characterize their stage of development", Journal of Banking & Finance 29/4 (2005) 827. JI: 3.7, CI: 528.

[10] M. Tumminello, T. Aste, T. Di Matteo, R. N. Mantegna, "A tool for filtering information in complex systems", Proceedings of the National Academy of Sciences of the United States of America (PNAS) Vol. 102, Num. 30 (2005) 10421-10426. JI: 11.1, CI: 943.