Four decades of image processing: a bibliometric analysis

Uzair Farooq Khan · Hikmat Ullah Khan · Saqib Iqbal

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scientometrics and bibliometrics research Psychology Research and Bibliometrics Computer Science and Engineering

Abstract

Purpose Image Processing is an emerging field that is used to extract information from images. In recent years, this field has received immense attention from researchers, especially in the research domains of object detection, Biomedical Imaging and Semantic segmentation. In this study, a bibliometric analysis of publications related to image processing in the Science Expanded Index Extended (SCI-Expanded) has been performed. Several parameters have been analyzed such as annual scientific production, citations per article, most cited documents, top 20 articles, most relevant authors, authors evaluation using y-index, top and most relevant sources (journals) and hot topics. Design/methodology/approach The Bibliographic data has been extracted from the Web of Science which is well known and the world's top database of bibliographic citations of multidisciplinary areas that covers the various journals of computer science, engineering, medical and social sciences. Findings The research work in image processing is meager in the past decade, however, from 2014 to 2019, it increases dramatically. Recently, the IEEE Access journal is the most relevant source with an average of 115 publications per year. The USA is most productive and its publications are highly cited while China comes in second place. Image Segmentation, Feature Extraction and Medical Image Processing are hot topics in recent years. The National Natural Science Foundation of China provides 8% of all funds for Image Processing. As Image Processing is now becoming one of the most critical fields, the research productivity has enhanced during the past five years and more work is done while the era of 2005–2013 was the area with the least amount of work in this area. Originality/value This research is novel in this regard that no previous research focuses on Bibliometric Analysis in the Image Processing domain, which is one of the hot research areas in computer science and engineering.

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References

2018A bibliometric analysis of natural language processing in medical research 2020A bibliometric analysis on deep learning during 2007–2019 2017Bibliometric Analysis of Global Remote Sensing Research during 2010–2015 2020Forty years of Fuzzy Sets and Systems: A bibliometric analysis 2020A bibliometric overview of the Journal of Network and Computer Applications between 1997 and 2019 2020Citation Analysis of Fuzzy Set Theory Journals: Bibliometric Insights About Authors and Research Areas

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