{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T14:26:01Z","timestamp":1777904761386,"version":"3.51.4"},"reference-count":35,"publisher":"Emerald","issue":"1","license":[{"start":{"date-parts":[[2022,7,8]],"date-time":"2022-07-08T00:00:00Z","timestamp":1657238400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["LHT"],"published-print":{"date-parts":[[2024,2,14]]},"abstract":"<jats:sec><jats:title content-type=\"abstract-subheading\">Purpose<\/jats:title><jats:p>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.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Design\/methodology\/approach<\/jats:title><jats:p>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.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Findings<\/jats:title><jats:p>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\u20132013 was the area with the least amount of work in this area.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Originality\/value<\/jats:title><jats:p>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.<\/jats:p><\/jats:sec>","DOI":"10.1108\/lht-10-2021-0351","type":"journal-article","created":{"date-parts":[[2022,7,6]],"date-time":"2022-07-06T10:01:20Z","timestamp":1657101680000},"page":"180-202","source":"Crossref","is-referenced-by-count":20,"title":["Four decades of image processing: a bibliometric analysis"],"prefix":"10.1108","volume":"42","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4107-4359","authenticated-orcid":false,"given":"Uzair","family":"Khan","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8178-6652","authenticated-orcid":false,"given":"Hikmat Ullah","family":"Khan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8311-6129","authenticated-orcid":false,"given":"Saqib","family":"Iqbal","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0528-2214","authenticated-orcid":false,"given":"Hamza","family":"Munir","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"140","published-online":{"date-parts":[[2022,7,8]]},"reference":[{"key":"key2024021212105420600_ref001","doi-asserted-by":"publisher","first-page":"2414","DOI":"10.1007\/s40815-020-00924-8","article-title":"Citation analysis of fuzzy set theory journals: bibliometric insights about authors and research areas","volume":"22","year":"2020","journal-title":"International Journal Fuzzy Systems"},{"key":"key2024021212105420600_ref002","doi-asserted-by":"crossref","first-page":"183","DOI":"10.1137\/080716542","article-title":"A fast iterative shrinkage-thresholding algorithm for linear inverse problems","volume":"2","year":"2009","journal-title":"SIAM Journal on Imaging Sciences"},{"key":"key2024021212105420600_ref003","doi-asserted-by":"publisher","first-page":"361","DOI":"10.1007\/s11192-020-03620-4","article-title":"Capturing the salient aspects of IoT research: a social network analysis","volume":"125","year":"2020","journal-title":"Scientometrics"},{"key":"key2024021212105420600_ref004","doi-asserted-by":"crossref","first-page":"1532","DOI":"10.1109\/83.862633","article-title":"Adaptive wavelet thresholding for image denoising and compression","volume":"9","year":"2000","journal-title":"IEEE Transactions on Image Processing"},{"key":"key2024021212105420600_ref005","doi-asserted-by":"crossref","first-page":"298","DOI":"10.1109\/83.551699","article-title":"Deterministic edge-preserving regularization in computed imaging","volume":"6","year":"1997","journal-title":"IEEE Transactions on Image Processing"},{"key":"key2024021212105420600_ref006","doi-asserted-by":"publisher","first-page":"14","DOI":"10.1186\/s12911-018-0594-x","article-title":"A bibliometric analysis of natural language processing in medical research","volume":"18","year":"2018","journal-title":"BMC Medical Informatics Decision Making"},{"key":"key2024021212105420600_ref007","doi-asserted-by":"crossref","unstructured":"Chen Sr, S., Wang Sr, Y. and Qiu, S. 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