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20032015
most citedPrediction of Emerging Technologies Based on Analysis of the U.S. Patent Citation Network

275 citations · 292 across the 6 of their papers we have counts for

collaborators

6 papers

q-bio.MN2015★ 2 cited

Stochastic kinetics of the circular gene hypothesis: feedback effects and protein fluctuations

Raoul R. Wadhwa, Laszlo Zalanyi, Judit Szente +2

Stochastic kinetic models of genetic expression are able to describe protein fluctuations. A comparative study of the canonical and a feedback model is given here by using stochast…

cs.SI2012★ 275 cited

Prediction of Emerging Technologies Based on Analysis of the U.S. Patent Citation Network

Péter Érdi, Kinga Makovi, Zoltán Somogyvári +4

The network of patents connected by citations is an evolving graph, which provides a representation of the innovation process. A patent citing another implies that the cited patent…

q-bio.NC2006

From systems biology to dynamical neuropharmacology: proposal for a new methodology

Peter Erdi, Tamas Kiss, Janos Toth +2

The concepts and methods of Systems Biology are being extended to neuropharmacology, to test and design drugs against neurological and psychiatric disorders. Computational modeling…

cond-mat.dis-nn2006

Estimating the dynamics of kernel-based evolving networks

Gabor Csardi, Katherine Strandburg, Laszlo Zalanyi +2

In this paper we present the application of a novel methodology to scientific citation and collaboration networks. This methodology is designed for understanding the governing dyna…

physics.soc-ph2005

Modeling innovation by a kinetic description of the patent citation system

Gabor Csardi, Katherine J Strandburg, Laszlo Zalanyi +2

This paper reports results of a network theory approach to the study of the United States patent system. We model the patent citation network as a discrete time, discrete space sto…

cond-mat.stat-mech2003★ 15 cited

Properties of a random attachment growing network

Laszlo Zalanyi, Gabor Csardi, Tamas Kiss +4

In this study we introduce and analyze the statistical structural properties of a model of growing networks which may be relevant to social networks. At each step a new node is add…