A statistical model for citation processes is presented as a particular version of a nonhomogeneous birth process. The mean value function E(X(t) - X(s)\X(s) = i) and special transition probabilities such as P(X(t) - X(s) > 0\X(s) = 0) and P(X(t) - X(s) = 0\X(s) > 0) give essential information on the change of citation impact in time. It is shown that the mean value functions and transition probabilities can readily be calculated on the basis of known and estimated parameters. The analysis is illustrated by five examples. The citation rate for papers published in 1980 has been recorded in the period 1980 through 1989 in five science fields. The model provides sufficiently good approximations for both the empirical mean value functions ...
The first-citation distribution, i.e. the cumulative distribution of the time period between publica...
In this paper, we introduce a Markovian approach to study the stability and growth of citations in a...
The anticipation and forecast of technological changes are of vital importance, as technological adv...
A statistical model for citation processes, a particular version of a non-homogeneous birth process,...
A non-homogeneous birth process is used to describe the statistical properties of bibliometric citat...
This paper analyses the pattern of citations for papers published in 1990 across 6 MS/OR journals. ...
We propose a simple stochastic model for an author’s production/citation process in order to investi...
Citation distributions are crucial for the analysis and modeling of the activity of scientists. We i...
A fundamental problem in citation analysis is the prediction of the long-term citation impact of rec...
Citation patterns are important to understanding the spread of technological ideas as science is ess...
Citation distributions are crucial for the analysis and modeling of the activity of scientists. We i...
<p>Final multivariable model predicting citation count, using a generalized linear mixed model with ...
textabstractThis paper illustrates that salient features of a panel of time series of annual citatio...
Despite the frequent use of numerous quantitative indicators to gauge the professional impact of a s...
This paper gives an overview of the diachronous (prospective) and synchronous (retrospective) approa...
The first-citation distribution, i.e. the cumulative distribution of the time period between publica...
In this paper, we introduce a Markovian approach to study the stability and growth of citations in a...
The anticipation and forecast of technological changes are of vital importance, as technological adv...
A statistical model for citation processes, a particular version of a non-homogeneous birth process,...
A non-homogeneous birth process is used to describe the statistical properties of bibliometric citat...
This paper analyses the pattern of citations for papers published in 1990 across 6 MS/OR journals. ...
We propose a simple stochastic model for an author’s production/citation process in order to investi...
Citation distributions are crucial for the analysis and modeling of the activity of scientists. We i...
A fundamental problem in citation analysis is the prediction of the long-term citation impact of rec...
Citation patterns are important to understanding the spread of technological ideas as science is ess...
Citation distributions are crucial for the analysis and modeling of the activity of scientists. We i...
<p>Final multivariable model predicting citation count, using a generalized linear mixed model with ...
textabstractThis paper illustrates that salient features of a panel of time series of annual citatio...
Despite the frequent use of numerous quantitative indicators to gauge the professional impact of a s...
This paper gives an overview of the diachronous (prospective) and synchronous (retrospective) approa...
The first-citation distribution, i.e. the cumulative distribution of the time period between publica...
In this paper, we introduce a Markovian approach to study the stability and growth of citations in a...
The anticipation and forecast of technological changes are of vital importance, as technological adv...