H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Engineering and Technology D-index 68 Citations 19,803 361 World Ranking 326 National Ranking 3

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Artificial intelligence
  • Marketing

The scientist’s investigation covers issues in Fuzzy logic, Operations research, Analytic hierarchy process, Fuzzy set and Management science. His Fuzzy logic study incorporates themes from Data mining, Analytic network process and Axiomatic design. His Operations research research is multidisciplinary, incorporating elements of Quality, Structure, Selection and Knowledge management.

The concepts of his Analytic hierarchy process study are interwoven with issues in Soft systems methodology, Information technology, Pairwise comparison, Customer satisfaction and Quality function deployment. The various areas that Cengiz Kahraman examines in his Fuzzy set study include Manufacturing and Industrial engineering. Cengiz Kahraman interconnects Multiple-criteria decision analysis, Resource, Energy policy, Variety and Process in the investigation of issues within Management science.

His most cited work include:

  • Multi‐criteria supplier selection using fuzzy AHP (845 citations)
  • Multi-attribute comparison of catering service companies using fuzzy AHP: The case of Turkey (586 citations)
  • A fuzzy optimization model for QFD planning process using analytic network approach (479 citations)

What are the main themes of his work throughout his whole career to date?

His primary areas of investigation include Fuzzy logic, Fuzzy set, Operations research, Mathematical optimization and Analytic hierarchy process. In his study, Vagueness is strongly linked to Data mining, which falls under the umbrella field of Fuzzy logic. His Fuzzy set research incorporates elements of Quality, TOPSIS and Management science.

His Operations research study incorporates themes from Investment and Axiomatic design. Cengiz Kahraman focuses mostly in the field of Mathematical optimization, narrowing it down to matters related to Intuitionistic fuzzy and, in some cases, Interval valued. Cengiz Kahraman regularly links together related areas like Pairwise comparison in his Analytic hierarchy process studies.

He most often published in these fields:

  • Fuzzy logic (53.67%)
  • Fuzzy set (34.09%)
  • Operations research (18.46%)

What were the highlights of his more recent work (between 2017-2021)?

  • Fuzzy logic (53.67%)
  • Fuzzy set (34.09%)
  • Mathematical optimization (17.33%)

In recent papers he was focusing on the following fields of study:

His scientific interests lie mostly in Fuzzy logic, Fuzzy set, Mathematical optimization, Intuitionistic fuzzy and Artificial intelligence. His Fuzzy logic research focuses on Fuzzy number in particular. While the research belongs to areas of Fuzzy set, Cengiz Kahraman spends his time largely on the problem of Process, intersecting his research to questions surrounding Risk analysis.

His Mathematical optimization research is multidisciplinary, incorporating perspectives in TOPSIS, Defuzzification and Robustness. His research integrates issues of Analytic hierarchy process, Theoretical computer science and Interval valued in his study of Intuitionistic fuzzy. His Artificial intelligence study integrates concerns from other disciplines, such as Machine learning and Pattern recognition.

Between 2017 and 2021, his most popular works were:

  • A novel approach to risk assessment for occupational health and safety using Pythagorean fuzzy AHP & fuzzy inference system (161 citations)
  • A novel spherical fuzzy analytic hierarchy process and its renewable energy application (56 citations)
  • A novel fuzzy TOPSIS method using emerging interval-valued spherical fuzzy sets (56 citations)

In his most recent research, the most cited papers focused on:

  • Statistics
  • Artificial intelligence
  • Marketing

His primary scientific interests are in Fuzzy logic, Fuzzy set, Analytic hierarchy process, Mathematical optimization and Intuitionistic fuzzy. His Fuzzy logic study results in a more complete grasp of Artificial intelligence. His studies in Fuzzy set integrate themes in fields like Quality, VIKOR method, TOPSIS, Extension and Selection.

His Analytic hierarchy process research entails a greater understanding of Operations research. His studies deal with areas such as Defuzzification, Robustness and Interval valued as well as Mathematical optimization. His research in Intuitionistic fuzzy tackles topics such as Axiom which are related to areas like Axiomatic design.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Multi‐criteria supplier selection using fuzzy AHP

Cengiz Kahraman;Ufuk Cebeci;Ziya Ulukan.
Logistics Information Management (2003)

1408 Citations

Multi-attribute comparison of catering service companies using fuzzy AHP: The case of Turkey

Cengiz Kahraman;Ufuk Cebeci;Da Ruan.
International Journal of Production Economics (2004)

1006 Citations

A fuzzy optimization model for QFD planning process using analytic network approach

Cengiz Kahraman;Tij en Ertay;Gülcin Büyüközkan.
European Journal of Operational Research (2006)

809 Citations

Multicriteria renewable energy planning using an integrated fuzzy VIKOR & AHP methodology: The case of Istanbul

Tolga Kaya;Cengiz Kahraman.
Energy (2010)

695 Citations

Fuzzy group decision-making for facility location selection

Cengiz Kahraman;Da Ruan;Ibrahim Doǧan.
Information Sciences (2003)

694 Citations

Fuzzy Multi-Criteria Decision Making: Theory and Applications with Recent Developments

Cengiz Kahraman.
(2008)

674 Citations

Fuzzy multi-attribute selection among transportation companies using axiomatic design and analytic hierarchy process

Osman Kulak;Cengiz Kahraman.
Information Sciences (2005)

548 Citations

Prioritization of human capital measurement indicators using fuzzy AHP

F. Tunç Bozbura;Ahmet Beskese;Cengiz Kahraman.
Expert Systems With Applications (2007)

548 Citations

Fuzzy performance evaluation in Turkish Banking Sector using Analytic Hierarchy Process and TOPSIS

Neşe Yalçın Seçme;Ali Bayrakdaroğlu;Cengiz Kahraman.
Expert Systems With Applications (2009)

450 Citations

A comparative analysis for multiattribute selection among renewable energy alternatives using fuzzy axiomatic design and fuzzy analytic hierarchy process

Cengiz Kahraman;İhsan Kaya;Selcuk Cebi.
Energy (2009)

444 Citations

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