Document Type : Original Article

Authors

• Leila Khalili ¹
• Omid Rafieyan ²

¹ Department of knowledge & Information Science Azarbaijan Shahid Madani University

² Department of Environmental Sciences, Tabriz Branch, Islamic Azad University Tabriz, Iran-Sustainable Development Management Research Center of Urmia lake Basin and Aras River, Tabriz Branch, Islamic Azad University, Tabriz, Iran.

Abstract

The aim of the present study is scientometric analysis and visualization of the researches conducted on Lake Urmia based on Web of Science. The descriptive research method was carried out with a scientometric approach. The statistical population of the research was 924 documents. To describe the data, SPSS software was used, ISI.EXE software and Text Statistic Analyzer software were used to identify the co-authorship pattern, and VOSViewer software was used to illustrate the co-authorship network and vocabulary occurrence. Based on the Spearman test, there was a significant relationship between the year with the number of articles and the number of citations. Collaborative Coefficient (CC) among authors was 0.69 and only 3.78% of the articles were written individually; also, articles with three, four, five and two authors were the common co-authorship pattern in this field. Universities of Tehran, Tabriz and Urmia respectively had the most documents in this field. Tabriz, Tehran and Urmia universities received the most citations respectively. In terms of the number of documents and received citations, “Bakhtiar Feizizadeh” and “Thomas Blaschke” were two core and leading researchers in this field; in terms of the number of articles “Vahid Nourani” and in terms of the number of received citations “Kaveh Madani” were the next core researchers. The researchers of the USA, Germany and Turkey contributed the most in writing articles in this field, respectively. The topics of “climate change”, “remote sensing”, “artemia urmiana”, “GIS”, “machine learning”, “drought” and “underground waters” were new study trends in this field.

Keywords

• Co-authorship network
• Collaborative Coefficient (CC)
• Lake Urmia
• Scientometric analysis
• Vocabulary occurrence

Main Subjects

• Climatology