michael

Dr. Michael Golosovsky

The Racah Institute of Physics, 
The Hebrew University of Jerusalem, Givat Ram, Jerusalem 91904, Israel 

Title: Researcher
Office: Danciger B 107
Phone: (972-2) 6586551
Fax: (972-2) 5617805
Email: michael.golosovsky@mail.huji.ac.il

CELL BIOSENSOR

Research Interests:

·         Surface plasmon resonance and biological applications.

·         Metamaterials, Negative refraction, Photonic Crystals.

·         Near-field microwave imaging, Scanning probes.

·         Magnetism, Ferromagnetic resonance,

·         Complexity.

·         Citation statistics.

·          History 

·         Texts in Russian

Some recent publications:

 

V.Lirtsman,  M. Golosovsky, and D. Davidov, " Surface plasmon excitation using a Fourier-transform infrared spectrometer: Live

cell and bacteria sensing", Rev. Sci. Instrum.  88, 103105 (2017).

 

M. Chasnitsky, M. Golosovsky, D. Davidov, "The broadband surface plasmon wave excitation using dispersion engineering", Optics Express 23, 30570 (2015).

 

M. Golosovsky, P.Monod, P.K. Muduli, R.C. Budhani, “Low-field microwave absorption in epitaxial La0.7Sr0.3MnO3 films resulting from the angle-tuned ferromagnetic resonance in the multidomain state",  Phys.Rev.B   85, 184418 (2012).

M. Golosovsky and S. Solomon, "Runaway Events Dominate the Heavy Tail of Citation Distributions”, Eur. Phys. J. Special Topics 205, 303 (2012).  

M. Golosovsky and S. Solomon, "Stochastic Dynamical Model of a Growing Citation Network Based on a Self-Exciting Point Process”, Physical Review Letters 109, 098701 (2012).  

M. Golosovsky and S. Solomon, "The Transition Towards Immortality: Non-linear Autocatalytic Growth of Citations to Scientific Papers”, J Stat Phys (2013) 151:340–354. Special Issue: Statistical Mechanics and Social Sciences

M. Golosovsky and S. Solomon, " Growing complex network of citations of scientific papers: Modeling and measurements”, Phys. Rev. E  (2017) 95, 012324 . (supplementary)

M. Golosovsky, " Power-law citation distributions are not scale-free”, Phys. Rev. E  (2017) 96, 032306 .

M. Golosovsky, ”Mechanisms of complex network growth: Synthesis of the preferential attachment and fitness models”, Phys. Rev. E 97, 062310 (2018).

 

 

 

Updated in July, 2020