چکیده

Motivation or purpose scientometric studies are one of the most efficient methods of evaluating scientific documents in valid databases. The aim of the present study is to reveal the research topics of Covid 19 in the two fields of mathematical computational biology and mathematics interdisciplinary applications based on the works presented on the web of Science Problem The study of scientific maps is one of the most important aspects of science assessment studies in various fields which by providing a big image of the state of research can cause some of the growth and development of topics in that field. Method The present study is a descriptive study with scientometric approach and content analysis method and the use of Co-word analysis techniques and social network analysis.The research community is Studies about Covid19 that published at Web of Science. Bib Excel Hist site and Gephi softwares were used to analyze the data and VosViewer software was used to plot the intellectual activity. Results Corona virus SARS cov-2 and mathematical models had the highest frequency among keywords respectively. The United States has the highest production with 291 works.Then Wang X Y with 8 articles is the most active author and chineseAcadsci Institute with 16 articles has the highest number. Coronavirus also has the highest Degree Betweenness Closeness centrality.The results of the network analysis showed the formation of 7 clusters which among the seven identified clusters clusters 3 4 and 6 had the most mathematical concepts and seem to be key clusters.

کليدواژه ها

Keywords Covid 19 scientometrics intellectual structure of knowledge mathematical computational biology mathematics interdisciplinary applications

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مرضیه فرشید , 1400 , ترسیم نقشه دانش موضوعات کووید19 در حوزه ریاضی علم سنجی , اولین کنفرانس بین المللی ریاضیات و کاربردها