Volume 21 (2023)
Volume 20 (2022)
Volume 19 (2021)
Volume 18 (2020)
Volume 17 (2019)
Volume 16 (2018)
Volume 15 (2017)
Volume 14 (2016)
Volume 13 (2015)
Volume 12 (2014)
Volume 11 (2013)
Volume 10 (2012)
Volume 9 (2011)
Volume 8 (2010)
Volume 7 (2009)
Volume 6 (2008)
Volume 5 (2007)
Volume 4 (2006)
Volume 3 (2005)
Volume 2 (2004)
Volume 1 (2003)
Forecasting the Subject Trend of International Library and Information Science Research by 2030 Using the Deep Learning Approach

Farzaneh Ghanadi Nezhad; Farideh Osareh; Mohammad Reza Ghane

Volume 20, Issue 1 , January 2022

  This study seeks to forecast the subject trend of library and information science research until 2030 based on modeling previous research topics in this field, which has been done with a text mining and in-depth learning approach. After pre-processing and thematic classification of the studies, deep ...  Read More

Dimensions of the Scientific Collaborations of the Researchers Affiliated with Shiraz University of Medical Sciences

Samane Kesht-karan; Mohammad Reza Ghane; Farshid Danesh

Volume 19, Issue 2 , July 2021, , Pages 31-48

  Researchers at medical universities are highly active in scientific collaborations at the national, regional, and international levels. Iranian Medical researchers pay diligent attention to scientific collaborations at all levels. The present study aimed to investigate various dimensions of scientific ...  Read More

Identifying Information Retrieval Research Trends Using Author Co-citation Network

Hamid Alizade Zowj; Mohammad Reza Ghane; Fereshte Ehsanifar

Volume 17, Issue 2 , July 2019

  AbstractThe aim of this study was mapping, visualizing and determining subject trends in the field of information retrieval using author co-citation network based on articles indexed in Scopus from 2005- 2018. This scientometric study was performed using co-citation analysis. Research population includes ...  Read More

Design and Implementation of Iranian Digital Object Recognizer (DOR) Phase 1: Persian Articles

Mohammad Reza Ghane; Sara Koleini; Mohammad Bagher Dastgheib

Volume 15, Issue 2 , June 2017

  The Digital Object Recognizer (DOR) is a system for identifying Persian digital objects on the web. DOR is a unique alphanumeric string assigned by Regional Information Center for Science and Technology (RICeST) to any entity to identify content and provide a persistent link to its location on the Internet ...  Read More

To What Extent Are Highly Cited Papers Influenced by Author Self-citation? A Comparison between Iran and Turkey

M. R. Ghane

Volume 9, Issue 1 , July 2011, , Pages 33-46

  Highly cited papers are mostly authored in international collaboration. It is expected that   co-authored papers bring more citations. On the other hand, it is inevitable that a part of citations is self-citation. This study investigates 134 and 236 highly cited papers in Iran and Turkey, respectively, ...  Read More