A Distributed Parallel Model to Analyze Journal Impact Factors

10/28/2017
by   Jian Zhou, et al.
0

A simple abstract model is developed as a parallel experimental basis for the aim of exploring the differences of journal impact factors, particularly between different disciplines. Our model endeavors to simulate the publication and citation behaviors of the articles in the journals belonging to a similar discipline, in a distributed manner. Based on simulation experiments, the mechanism of influence from several fundamental factors to the trend of impact factor is revealed. These factors include the average review cycle, average number of references and yearly distribution of references. Moreover, satisfactory approximation could possibly be observed between certain actual data and simulation results.

READ FULL TEXT
POST COMMENT

Comments

There are no comments yet.

Authors

page 4

05/14/2021

Thirty years of TEFLIN Journal: A bibliometric portrait through the lens of Microsoft Academic

Bibliometric studies are a rare undertaking in the field of English lang...
07/08/2019

Publication modalities 'article in press' and 'open access' in relation to journal average citation

There has been a generalization in the use of two publication practices ...
03/06/2018

Impact Factors and the Central Limit Theorem

In rankings by average metrics, smaller samples are more volatile: They ...
06/01/2018

Analysis of Peer Review Effectiveness for Academic Journals Based on Distributed Parallel System

A simulation model based on parallel systems is established, aiming to e...
03/16/2022

Modeling the obsolescence of research literature in disciplinary journals through the age of their cited references

There are different citation habits in the research fields that influenc...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.