Ayşegül Tuş

599 total citations
14 papers, 406 citations indexed

About

Ayşegül Tuş is a scholar working on Management Science and Operations Research, Control and Systems Engineering and Management of Technology and Innovation. According to data from OpenAlex, Ayşegül Tuş has authored 14 papers receiving a total of 406 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Management Science and Operations Research, 4 papers in Control and Systems Engineering and 2 papers in Management of Technology and Innovation. Recurrent topics in Ayşegül Tuş's work include Multi-Criteria Decision Making (11 papers), Optimization and Mathematical Programming (4 papers) and Quality Function Deployment in Product Design (2 papers). Ayşegül Tuş is often cited by papers focused on Multi-Criteria Decision Making (11 papers), Optimization and Mathematical Programming (4 papers) and Quality Function Deployment in Product Design (2 papers). Ayşegül Tuş collaborates with scholars based in Türkiye. Ayşegül Tuş's co-authors include Esra Aytaç Adalı and İrfan Ertuğrul and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Applied Soft Computing.

In The Last Decade

Ayşegül Tuş

12 papers receiving 386 citations

Peers

Ayşegül Tuş
Ayşegül Tuş
Citations per year, relative to Ayşegül Tuş Ayşegül Tuş (= 1×) peers Fatemeh Torfi

Countries citing papers authored by Ayşegül Tuş

Since Specialization
Citations

This map shows the geographic impact of Ayşegül Tuş's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ayşegül Tuş with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ayşegül Tuş more than expected).

Fields of papers citing papers by Ayşegül Tuş

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ayşegül Tuş. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ayşegül Tuş. The network helps show where Ayşegül Tuş may publish in the future.

Co-authorship network of co-authors of Ayşegül Tuş

This figure shows the co-authorship network connecting the top 25 collaborators of Ayşegül Tuş. A scholar is included among the top collaborators of Ayşegül Tuş based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ayşegül Tuş. Ayşegül Tuş is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Adalı, Esra Aytaç, et al.. (2026). A decision-making methodology based on Bayesian BWM and Picture Fuzzy COPRAS for airline company selection. Applied Soft Computing. 193. 114840–114840.
3.
Tuş, Ayşegül & Esra Aytaç Adalı. (2025). Enhancing Private Pension System Evaluation Using Fermatean Fuzzy Sets and Weighted Euclidean Distance Based Approach. Operations Research Forum. 6(3).
4.
Tuş, Ayşegül, et al.. (2023). An alternative approach for calculating Turkey's digital transformation index: Bayesian BWM. Pamukkale University Journal of Engineering Sciences. 29(8). 842–854. 2 indexed citations
5.
Adalı, Esra Aytaç & Ayşegül Tuş. (2023). ARAS method based on Z‐numbers in FMEA. Quality and Reliability Engineering International. 39(7). 3059–3081. 13 indexed citations
6.
Tuş, Ayşegül & Esra Aytaç Adalı. (2022). Green Supplier Selection Based on the Combination of Fuzzy SWARA (SWARA-F) and Fuzzy MARCOS (MARCOS-F) Methods. GAZI UNIVERSITY JOURNAL OF SCIENCE. 35(4). 1535–1554. 14 indexed citations
7.
Adalı, Esra Aytaç, et al.. (2022). Assessment of European cities from a smartness perspective: An integrated grey MCDM approach. Sustainable Cities and Society. 84. 104021–104021. 28 indexed citations
8.
Tuş, Ayşegül, et al.. (2022). A hybrid metaheuristic algorithm based on iterated local search for vehicle routing problem with simultaneous pickup and delivery. Expert Systems with Applications. 202. 117401–117401. 26 indexed citations
9.
Adalı, Esra Aytaç, et al.. (2022). Ranking Green Universities from MCDM Perspective: MABAC with Gini Coefficient-based Weighting Method. Process Integration and Optimization for Sustainability. 7(1-2). 163–175. 9 indexed citations
10.
Adalı, Esra Aytaç, et al.. (2022). A New Multi-Criteria Decision-Making Method Under Neutrosophic Environment: ARAS Method With Single-Valued Neutrosophic Numbers. International Journal of Information Technology & Decision Making. 22(1). 57–87. 15 indexed citations
11.
Tuş, Ayşegül & Esra Aytaç Adalı. (2019). The new combination with CRITIC and WASPAS methods for the time and attendance software selection problem. OPSEARCH. 56(2). 528–538. 132 indexed citations
12.
Adalı, Esra Aytaç & Ayşegül Tuş. (2019). Hospital site selection with distance-based multi-criteria decision-making methods. International Journal of Healthcare Management. 14(2). 534–544. 67 indexed citations
13.
Tuş, Ayşegül & Esra Aytaç Adalı. (2018). CODAS ve PSI Yöntemleri İle Personel Değerlendirmesi. SHILAP Revista de lepidopterología. 6(2). 243–256. 32 indexed citations
14.
Ertuğrul, İrfan & Ayşegül Tuş. (2006). Interactive fuzzy linear programming and an application sample at a textile firm. Fuzzy Optimization and Decision Making. 6(1). 29–49. 67 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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