Citation analysis and bibliometric approach for ant colony optimization from 1996 to 2010

Deng, Guang-Feng; Lin, Woo-Tsong

doi:10.1016/j.eswa.2011.12.001

Cited by 32 publications

(14 citation statements)

References 20 publications

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“…This type of research enables researchers and specialists to analyze a specific research field by considering research articles, journals, authors, institutions, and countries, enabling researchers to obtain a general picture of the research field. In the literature, many researchers have published bibliometric research in a diversity of fields [27][28][29][30][31][32][33][34][35][36][37][38][39][40][41][42]. However, in the research area of RLs, there are no existing bibliometric studies.…”

Section: Bibliometric Analysismentioning

confidence: 99%

An Insight into Reverse Logistics with a Focus on Collection Systems

et al. 2021

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Sustainable development is now the focus of researchers and organizations worldwide. Several concepts, such as reverse logistics (RLs) and closed-loop supply chains, have been introduced to encourage sustainability in supply chains. RLs refers to the set of activities needed by consumers to collect the product used for reuse, repair, remanufacturing, recycling, or disposal of the used product. There are various processes involved in RL, and one of them is collection systems. Collection refers to a company obtaining custody of specific items. We review the literature on RLs collection systems. A bibliometric analysis was conducted to provide better insight into the field and establish any trends. Firstly, we present the classification methods used in the field, based on available review papers. Secondly, we evaluate literature from several fields that are related to either the problem setting or the technical features. Different perspectives are presented and classified. This method facilitates the identification of manuscripts related to the reader’s specific interests. Throughout the literature review, trends in measuring the performance of collection systems are identified, and directions for future research are identified and presented.

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Section: Bibliometric Analysismentioning

confidence: 99%

An Insight into Reverse Logistics with a Focus on Collection Systems

et al. 2021

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“…In computer science, there are many bibliometric studies concerning a wide range of issues including journals and countries . More specifically, there are several bibliometric studies close to the scope of IJIS including computational intelligence, fuzzy sets and systems, aggregation operators, intuitionistic fuzzy sets, linguistic decision making, gray systems, and ant colony optimization …”

Section: Introductionmentioning

confidence: 99%

Thirty Years of theInternational Journal of Intelligent Systems: A Bibliometric Review

Merigó

Blanco‐Mesa

Gil‐Lafuente

et al. 2016

Int. J. Intell. Syst.

136

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The International Journal of Intelligent Systems was created in 1986. Today, the journal is 30 years old. To celebrate this anniversary, this study develops a bibliometric review of all of the papers published in the journal between 1986 and 2015. The results are largely based on the Web of Science Core Collection, which classifies leading bibliographic material by using several indicators including total number of publications and citations, the h‐index, cites per paper, and citing articles. The work also uses the VOS viewer software for visualizing the main results through bibliographic coupling and co‐citation. The results show a general overview of leading trends that have influenced the journal in terms of highly cited papers, authors, journals, universities and countries.

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“…It is very useful for collecting a set of documents to provide a general overview of leading trends. Bibliometric studies have been developed in a wide range of topics, including computational intelligence [45], fuzzy set operators [35], fuzzy decision making [5], linguistic decision making [51], intuitionistic fuzzy sets [52], aggregation operators [50], ordered weighted averages [21,24], grey systems [49], genetic algorithms [16] and ant colony optimization [18]. More generally, there are bibliometric studies in a wide range of areas, including mathematics [4], computer science [60], physics [58], economics [6,15], management [40], and operations research and management science [37].…”

Section: Bibliometric Methodsmentioning

confidence: 99%