{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,2]],"date-time":"2026-06-02T08:44:08Z","timestamp":1780389848644,"version":"3.54.1"},"reference-count":52,"publisher":"Emerald","issue":"3","license":[{"start":{"date-parts":[[2015,6,8]],"date-time":"2015-06-08T00:00:00Z","timestamp":1433721600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2015,6,8]]},"abstract":"<jats:sec>\n               <jats:title content-type=\"abstract-heading\">Purpose<\/jats:title>\n               <jats:p> \u2013 The purpose of this paper is to analyse the state-of-the-art techniques used to detect plagiarism in terms of their limitations, features, taxonomies and processes. <\/jats:p>\n            <\/jats:sec>\n            <jats:sec>\n               <jats:title content-type=\"abstract-heading\">Design\/methodology\/approach<\/jats:title>\n               <jats:p> \u2013 The method used to execute this study consisted of a comprehensive search for relevant literature via six online database repositories namely; IEEE xplore, ACM Digital Library, ScienceDirect, EI Compendex, Web of Science and Springer using search strings obtained from the subject of discussion. <\/jats:p>\n            <\/jats:sec>\n            <jats:sec>\n               <jats:title content-type=\"abstract-heading\">Findings<\/jats:title>\n               <jats:p> \u2013 The findings revealed that existing plagiarism detection techniques require further enhancements as existing techniques are incapable of efficiently detecting plagiarised ideas, figures, tables, formulas and scanned documents. <\/jats:p>\n            <\/jats:sec>\n            <jats:sec>\n               <jats:title content-type=\"abstract-heading\">Originality\/value<\/jats:title>\n               <jats:p> \u2013 The contribution of this study lies in its ability to have exposed the current trends in plagiarism detection researches and identify areas where further improvements are required so as to complement the performances of existing techniques.<\/jats:p>\n            <\/jats:sec>","DOI":"10.1108\/oir-12-2014-0315","type":"journal-article","created":{"date-parts":[[2015,6,5]],"date-time":"2015-06-05T08:42:30Z","timestamp":1433493750000},"page":"383-400","source":"Crossref","is-referenced-by-count":21,"title":["Existing plagiarism detection techniques"],"prefix":"10.1108","volume":"39","author":[{"given":"Taiseer Abdalla Elfadil","family":"Eisa","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Naomie","family":"Salim","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Salha","family":"Alzahrani","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"140","reference":[{"key":"key2020122322035789900_b1","doi-asserted-by":"crossref","unstructured":"Achimugu, P.\n               , \n                  Selamat, A.\n               , \n                  Ibrahim, R.\n                and \n                  Mahrin, M.N.R.\n                (2014), \u201cA systematic literature review of software requirements prioritization research\u201d, \n                  Information and Software Technology\n               , Vol. 56 No. 6, pp. 568-585.","DOI":"10.1016\/j.infsof.2014.02.001"},{"key":"key2020122322035789900_b2","unstructured":"Adam, A.R.\n                (2014), 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779-783.","DOI":"10.1109\/ICACCI.2013.6637273"},{"key":"key2020122322035789900_b4","unstructured":"Aimmanee, P.\n                (2011), \u201cAutomatic plagiarism detection using word-sentence based s-gram\u201d, \n                  Journal of Science\n               , Vol. 38, Special Issue, pp. 1-7."},{"key":"key2020122322035789900_b6","unstructured":"Alzahrani, S.\n                and \n                  Salim, N.\n                (2010), \u201cFuzzy semantic-based string similarity for extrinsic plagiarism detection\u201d, in \n                  Braschler, M.\n               , \n                  Harman, D.\n                and \n                  Pianta, E.\n                (Eds), \n                  Lab Report for PAN at CLEF, 22-23 September\n               , Vol. 1176, Padua, CEUR-WS.org."},{"key":"key2020122322035789900_b8","doi-asserted-by":"crossref","unstructured":"Alzahrani, S.\n               , \n                  Salim, N.\n               , \n                  Abraham, A.\n                and \n                  Palade, V.\n                (2011), \u201ciPlag: intelligent plagiarism reasoner in scientific publications\u201d, World Congress on Information and Communication Technologies (WICT), IEEE, Los Alamitos, CA, 11-14 December, pp. 1-6.","DOI":"10.1109\/WICT.2011.6141191"},{"key":"key2020122322035789900_b5","doi-asserted-by":"crossref","unstructured":"Alzahrani, S.M.\n                and \n                  Salim, N.\n                (2009), \u201cOn the use of fuzzy information retrieval for gauging similarity of Arabic documents\u201d, Second International Conference on the Applications of Digital Information and Web Technologies, ICADIWT \u201809, IEEE, Los Alamitos, CA, 4-6 August, pp. 539-544.","DOI":"10.1109\/ICADIWT.2009.5273835"},{"key":"key2020122322035789900_b7","doi-asserted-by":"crossref","unstructured":"Alzahrani, S.M.\n               , \n                  Salim, N.\n                and \n                  Abraham, A.\n               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