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A bibliometric-based survey on AHP and TOPSIS techniques

Zyoud, Shaher H., Fuchs-Hanusch, Daniela·2017·Expert Systems with Applications

DOI 10.1016/j.eswa.2017.02.016

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Authors: Zyoud, S. H., & Fuchs-Hanusch, D.
Affiliations: Graz University of Technology (AT)
Corresponding author: Zyoud, Shaher H.
ORCID: Zyoud, Shaher H.
Fuchs-Hanusch, Daniela
Venue: Expert Systems with Applications
Publisher: Elsevier BV
Published: 2017-07
Volume: 78
Pages: 158-181
ISSN: 0957-4174 (ISSN-L)
DOI: 10.1016/j.eswa.2017.02.016
OpenAlex: W2586123156
Cited by: 492
References: 170
Citations by year: 2026: 33 · 2025: 56 · 2024: 59 · 2023: 61 · 2022: 55 · 2021: 44 · 2020: 76 · 2019: 61 · 2018: 38 · 2017: 9
FWCI: 44.57
Type: journal article
Language: en
Open access: closed
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations: Expert Systems with Applications (publishedVersion)
Topics: Social Sciences › Decision Sciences › Management Science and Operations Research › Multi-Criteria Decision Making
Social Sciences › Library and Information Sciences › scientometrics and bibliometrics research
Social Sciences › Business, Management and Accounting › Management Information Systems › Decision Support System Applications
Keywords: analytic hierarchy process, TOPSIS, multi-criteria decision making, research trends, research collaboration, geographic information systems, supply chain management, sustainability, risk modeling, expert systems, bibliometric visualization, h-index, research hotspots, decision support system, China research output

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A bibliometric-based survey on AHP and TOPSIS techniques

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