Process Mining Research in Management Science and Engineering Fields: The Period of 2010–2019
dc.authorscopusid | 57203039540 | |
dc.authorscopusid | 36105855700 | |
dc.contributor.author | Kulakli, A. | |
dc.contributor.author | Birgun, S. | |
dc.date.accessioned | 2024-06-13T20:15:56Z | |
dc.date.available | 2024-06-13T20:15:56Z | |
dc.date.issued | 2021 | |
dc.department | İstanbul Gedik Üniversitesi | |
dc.description | International Symposium for Production Research, ISPR 2020 -- 24 September 2020 through 26 September 2020 -- -- 250869 | |
dc.description.abstract | Process mining is an analytic method to improve processes by extracting the information from various information systems. The interest has increased recently in scholarly publications. Authors aimed to explore the research outputs to identify and synthesize the results from studies on process mining, specifically in management science and engineering domains. The bibliometric approaches employed to analyze the papers published in highly ranked and cited journals which indexed and ranked in Web of Science Core Collection from 2010 to 2019. This pilot study concentrates on the management science and engineering field. Further, similar studies will be extended with different academic fields and publication sources. The data of 35 highly ranked journal articles found in SCI-Exp and SSCI indexed sources. The bibliometric study reveals the patterns of scientific areas of research domains. © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG. | |
dc.identifier.doi | 10.1007/978-3-030-62784-3_35 | |
dc.identifier.endpage | 425 | |
dc.identifier.isbn | 9783030627836 | |
dc.identifier.issn | 2195-4356 | |
dc.identifier.scopus | 2-s2.0-85096491021 | |
dc.identifier.scopusquality | Q4 | |
dc.identifier.startpage | 413 | |
dc.identifier.uri | https://doi.org/10.1007/978-3-030-62784-3_35 | |
dc.identifier.uri | https://hdl.handle.net/11501/972 | |
dc.indekslendigikaynak | Scopus | |
dc.language.iso | en | |
dc.publisher | Springer Science and Business Media Deutschland GmbH | |
dc.relation.ispartof | Lecture Notes in Mechanical Engineering | |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | |
dc.rights | info:eu-repo/semantics/closedAccess | |
dc.subject | Bibliometrics | |
dc.subject | Information management | |
dc.subject | Management science & engineering | |
dc.subject | Process mining | |
dc.subject | WoS core collection | |
dc.title | Process Mining Research in Management Science and Engineering Fields: The Period of 2010–2019 | |
dc.type | Conference Object |