Zobrazit minimální záznam

dc.contributor.authorToloo, Mehdi
dc.contributor.authorKhodabandelou, Rouhollah
dc.contributor.authorOukil, Amar
dc.date.accessioned2022-09-07T08:36:33Z
dc.date.available2022-09-07T08:36:33Z
dc.date.issued2022
dc.identifier.citationMathematics. 2022, vol. 10, issue 11, art. no. 1796.cs
dc.identifier.issn2227-7390
dc.identifier.urihttp://hdl.handle.net/10084/148590
dc.description.abstractFractional programming (FP) refers to a family of optimization problems whose objective function is a ratio of two functions. FP has been studied extensively in economics, management science, information theory, optic and graph theory, communication, and computer science, etc. This paper presents a bibliometric review of the FP-related publications over the past five decades in order to track research outputs and scholarly trends in the field. The reviews are conducted through the Science Citation Index Expanded (SCI-EXPANDED) database of the Web of Science Core Collection (Clarivate Analytics). Based on the bibliometric analysis of 1811 documents, various theme-related research indicators were described, such as the most prominent authors, the most commonly cited papers, journals, institutions, and countries. Three research directions emerged, including Electrical and Electronic Engineering, Telecommunications, and Applied Mathematics.cs
dc.language.isoencs
dc.publisherMDPIcs
dc.relation.ispartofseriesMathematicscs
dc.relation.urihttps://doi.org/10.3390/math10111796cs
dc.rights© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.cs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjectfractional programmingcs
dc.subjectliterature reviewcs
dc.subjectbibliometric analysiscs
dc.subjectvisualizationcs
dc.subjectmapping networkcs
dc.titleA comprehensive bibliometric analysis of fractional programming (1965-2020)cs
dc.typearticlecs
dc.identifier.doi10.3390/math10111796
dc.rights.accessopenAccesscs
dc.type.versionpublishedVersioncs
dc.type.statusPeer-reviewedcs
dc.description.sourceWeb of Sciencecs
dc.description.volume10cs
dc.description.issue11cs
dc.description.firstpageart. no. 1796cs
dc.identifier.wos000809192800001


Soubory tohoto záznamu

Tento záznam se objevuje v následujících kolekcích

Zobrazit minimální záznam

© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.
Kromě případů, kde je uvedeno jinak, licence tohoto záznamu je © 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.