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Bibliometric analysis of the published literature on machine learning in economics and econometrics

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dc.contributor.authorÇAĞLAYAN AKAY, EBRU
dc.contributor.authorYILMAZ SOYDAN, NACİYE TUBA
dc.contributor.authorsÇAĞLAYAN AKAY E., YILMAZ SOYDAN N. T., KOCARIK GACAR B.
dc.date.accessioned2023-09-12T13:20:41Z
dc.date.available2023-09-12T13:20:41Z
dc.date.issued2022-12-01
dc.description.abstractAn extensive literature providing information on published materials in machine learning exists. However, machine learning is still a rather new concept in the fields of economics and econometrics. This study aims to identify different properties of published documents about machine learning in economics and econometrics and therefore to draw a detailed picture of recent publications from bibliometric analysis perspectives. For the aim of the study, the data are collected from the publications indexed by Web of Science and Scopus databases from the period 1991 to 2020. Inthe study, the data have been illustrated by VOSviewer for science mapping. The analysis of variance has also been used to identify the links between the number of citations of articles and years. The findings obtained provides information about the studies on machine learning in the relevant field conducted in the past, as well as providing an opportunity to gain knowledge about the researched area by shedding light on what the future research areas would be. There is no doubt that it attracts attention has increased significantly on machine learning in the field of economics and econometrics and academic publications on machine learning in the relevant field have increased over the last decade.
dc.identifier.citationÇAĞLAYAN AKAY E., YILMAZ SOYDAN N. T., KOCARIK GACAR B., "Bibliometric analysis of the published literature on machine learning in economics and econometrics", SOCIAL NETWORK ANALYSIS AND MINING, cilt.12, sa.1, 2022
dc.identifier.doi10.1007/s13278-022-00916-6
dc.identifier.issn1869-5450
dc.identifier.issue1
dc.identifier.urihttps://avesis.marmara.edu.tr/api/publication/27a0210b-f5fc-4bdf-8468-f1ffbf359ede/file
dc.identifier.urihttps://hdl.handle.net/11424/293239
dc.identifier.volume12
dc.language.isoeng
dc.relation.ispartofSOCIAL NETWORK ANALYSIS AND MINING
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectBilgisayar Bilimleri
dc.subjectBilgi Güvenliği ve Güvenilirliği
dc.subjectMühendislik ve Teknoloji
dc.subjectComputer Sciences
dc.subjectInformation Security and Reliability
dc.subjectEngineering and Technology
dc.subjectBİLGİSAYAR BİLİMİ, BİLGİ SİSTEMLERİ
dc.subjectBilgisayar Bilimi
dc.subjectMühendislik, Bilişim ve Teknoloji (ENG)
dc.subjectCOMPUTER SCIENCE, INFORMATION SYSTEMS
dc.subjectCOMPUTER SCIENCE
dc.subjectEngineering, Computing & Technology (ENG)
dc.subjectBilgi sistemi
dc.subjectBilgisayar Bilimi Uygulamaları
dc.subjectBilgisayar Bilimi (çeşitli)
dc.subjectGenel Bilgisayar Bilimi
dc.subjectFizik Bilimleri
dc.subjectInformation Systems
dc.subjectComputer Science Applications
dc.subjectComputer Science (miscellaneous)
dc.subjectGeneral Computer Science
dc.subjectPhysical Sciences
dc.subjectBibliometric analysis
dc.subjectEconomics
dc.subjectEconometrics
dc.subjectMachine learning
dc.subjectScience mapping
dc.subjectScopus
dc.subjectWeb of science
dc.subjectBIG-DATA
dc.subjectMANAGEMENT
dc.subjectCITATION
dc.subjectBUSINESS
dc.subjectTRENDS
dc.titleBibliometric analysis of the published literature on machine learning in economics and econometrics
dc.typearticle
dspace.entity.typePublication
local.avesis.id27a0210b-f5fc-4bdf-8468-f1ffbf359ede
local.indexed.atWOS
local.indexed.atPUBMED
local.indexed.atSCOPUS
relation.isAuthorOfPublicationa7012382-4454-4d7d-90b8-cdc7abd2b1b1
relation.isAuthorOfPublication4a169eca-9b76-4fd5-863d-62b5fd17b23f
relation.isAuthorOfPublication.latestForDiscoverya7012382-4454-4d7d-90b8-cdc7abd2b1b1

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