The Top ۱۰۰ Most Cited Articles on Machine Learning in the Subject Area of Physics

  • سال انتشار: 1401
  • محل انتشار: هفتمین کنفرانس بین المللی پژوهش های کاربردی در علوم پایه، مهندسی و تکنولوژی
  • کد COI اختصاصی: CONFITC07_040
  • زبان مقاله: انگلیسی
  • تعداد مشاهده: 205
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نویسندگان

Parmida Moshkan Farahani

Farzanegan ۸ High School, No ۱۲, Abbas Mirza Street, Beheshti Street, Tehran, Iran

Ayeh Kavi

Farzanegan ۸ High School, No ۱۲, Abbas Mirza Street, Beheshti Street, Tehran, Iran

Zahra Karami Ata

Farzanegan ۸ High School, No ۱۲, Abbas Mirza Street, Beheshti Street, Tehran, Iran

Seyedh Mahboobeh Jamali

School of Educational Studies (PPIP), Universiti Sains Malaysia, ۱۱۸۰۰ Gelugor, Penang, Malaysia

چکیده

Today, mankind has an easier life due to the advancement of science. Machine learning is an example of the advancement of science in industries and appliances. Machine learning is a sub-branch of artificial intelligence. In this bibliometric study, the best articles in the field of machine learning and physics subject area were analyzed. A bibliometric study helps to identify the most emerging research topics, and highest influential authors, journals and countries. There were ۱۱,۶۰۳ documents on SCOPUS database on the selected research area. The top ۱۰۰ ones were selected for further quantitative analysis by VOSviewer software. The top ten documents were short reviewed and analyzed qualitatively. There was a significant growth in the publication in recent years. The most emerging keywords in the research area were “COVID-۱۹”, “artificial intelligence”, and “materials informatics”. The findings of this research may help future researchers to select their favorite documents from the top journals which introduced in this study based on the emerging keywords in the research area of machine learning in the subject area of physics.

کلیدواژه ها

Machine Learning, Physics, Bibliometrics, Artificial Intelligence, Highly Cited, Publication Trends, Top Papers, Top Cited

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