activity
20002020
most citedGrowing complex network of citations of scientific papers -- measurements and modeling

70 citations · 366 across the 16 of their papers we have counts for

collaborators

16 papers

physics.soc-ph2020

Uncited papers are not unread

Michael Golosovsky

We study citation dynamics of the Physics, Economics, and Mathematics papers published in 1984 and focus on the fraction of uncited papers in these three collections. Our model of…

physics.soc-ph2020

Universality of citation distributions and its explanation

Michael Golosovsky

Universality or near-universality of citation distributions was found empirically a decade ago but its theoretical justification has been lacking so far. Here, we systematically st…

physics.soc-ph2019

Prediction of citation dynamics of individual papers

Michael Golosovsky

We apply stochastic model of citation dynamics of individual papers developed in our previous work (M. Golosovsky and S. Solomon, Phys. Rev. E\textbf{ 95}, 012324 (2017)) to foreca…

physics.soc-ph2018★ 27 cited

Preferential attachment mechanism of complex network growth: "rich-gets-richer" or "fit-gets-richer"?

Michael Golosovsky

We analyze the growth models for complex networks including preferential attachment (A.-L. Barabasi and R. Albert, Science 286, 509 (1999)) and fitness model (Caldarelli et al., Ph…

physics.soc-ph2017★ 32 cited

Power-law citation distributions are not scale-free

Michael Golosovsky

We analyze time evolution of statistical distributions of citations to scientific papers published in one year. While these distributions can be fitted by a power-law dependence we…

cs.DL2016★ 70 cited

Growing complex network of citations of scientific papers -- measurements and modeling

M. Golosovsky, S. Solomon

To quantify the mechanism of a complex network growth we focus on the network of citations of scientific papers and use a combination of the theoretical and experimental tools to u…