Abstract

One of the tools used within the effort of developing new quantitative scientometric tools, reliable to be used for ranking academic/research unities is the bibliometric analysis of the scientific production from discrete geographical regions on a certain scientific topic. These analyses apply the so-called bibliometric methods. In the present work, the research output of all countries in Southeastern Europe (SEE) on the scientific topic of thermal spray coatings is presented by using bibliometric indices such as the total number of publications and citations as well as the h-index and the average number of citations per publication. Analysis spans the last ten years and the required scientific data in order to calculate the bibliometric indices were retrieved using the Scopus® scientific database.

Highlights

  • Bibliometrics is the research methodology which helps to analyze current trends in the literature regarding a particular area and provides guidelines and motivations for future research work

  • There has been a rapid development in the field of bibliometrics in recent times attributing to social developments significantly gaining from the advancement of the internet and computers

  • Bibliometric indices were used for describing the scientific activity on the topic of thermal spray coatings in the 11 Southeastern Europe countries during the last decade

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Summary

Introduction

Bibliometrics is the research methodology which helps to analyze current trends in the literature regarding a particular area and provides guidelines and motivations for future research work. It basically provides a general outline and overall structure of the research area [1] whilst an accurate definition of bibliometric study has been given by Broadus [2]. Bibliometrics gives a “total” view of scientific activity. It basically is a part of library and information science, but it has been extensively used in numerous other research areas [3,4]. A combined, subject and district specific type is commonly found, see for example [15,16,17,18,19,20,21]

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