Faruk Karaaslan

1.6k total citations
69 papers, 1.1k citations indexed

About

Faruk Karaaslan is a scholar working on Management Science and Operations Research, Computational Theory and Mathematics and Control and Systems Engineering. According to data from OpenAlex, Faruk Karaaslan has authored 69 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Management Science and Operations Research, 25 papers in Computational Theory and Mathematics and 13 papers in Control and Systems Engineering. Recurrent topics in Faruk Karaaslan's work include Multi-Criteria Decision Making (47 papers), Fuzzy and Soft Set Theory (39 papers) and Advanced Algebra and Logic (15 papers). Faruk Karaaslan is often cited by papers focused on Multi-Criteria Decision Making (47 papers), Fuzzy and Soft Set Theory (39 papers) and Advanced Algebra and Logic (15 papers). Faruk Karaaslan collaborates with scholars based in Türkiye, Pakistan and China. Faruk Karaaslan's co-authors include Khizar Hayat, Muhammad Akram, Muhammad Riaz, Bing-Yuan Cao, Muhammad İrfan Ali, Naim Çağman, Ayesha Khan, Hafiz Muhammad Athar Farid, Madhumangal Pal and Chiranjibe Jana and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Applied Soft Computing.

In The Last Decade

Faruk Karaaslan

65 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Faruk Karaaslan Türkiye 20 992 386 326 193 152 69 1.1k
Sidong Xian China 19 645 0.7× 259 0.7× 231 0.7× 149 0.8× 263 1.7× 64 876
Anam Luqman Pakistan 16 621 0.6× 264 0.7× 196 0.6× 110 0.6× 143 0.9× 27 763
Masooma Raza Hashmi Pakistan 14 789 0.8× 345 0.9× 272 0.8× 199 1.0× 171 1.1× 21 900
Jingguo Dai China 13 927 0.9× 284 0.7× 472 1.4× 299 1.5× 206 1.4× 25 1.1k
Hua Zhao China 16 1.1k 1.1× 279 0.7× 468 1.4× 397 2.1× 323 2.1× 40 1.2k
Muhammad Jabir Khan Thailand 19 728 0.7× 237 0.6× 246 0.8× 215 1.1× 183 1.2× 35 851
Rajkumar Verma Chile 18 720 0.7× 202 0.5× 277 0.8× 283 1.5× 214 1.4× 53 838
Kifayat Ullah Pakistan 15 649 0.7× 151 0.4× 269 0.8× 162 0.8× 121 0.8× 42 790
Asad Ali Pakistan 21 930 0.9× 282 0.7× 541 1.7× 370 1.9× 201 1.3× 50 1.2k

Countries citing papers authored by Faruk Karaaslan

Since Specialization
Citations

This map shows the geographic impact of Faruk Karaaslan'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 Faruk Karaaslan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Faruk Karaaslan more than expected).

Fields of papers citing papers by Faruk Karaaslan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Faruk Karaaslan. 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 Faruk Karaaslan. The network helps show where Faruk Karaaslan may publish in the future.

Co-authorship network of co-authors of Faruk Karaaslan

This figure shows the co-authorship network connecting the top 25 collaborators of Faruk Karaaslan. A scholar is included among the top collaborators of Faruk Karaaslan 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 Faruk Karaaslan. Faruk Karaaslan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Karaaslan, Faruk, et al.. (2024). Distance measures of r,s,t-spherical fuzzy sets and their applications in MCGDM based on TOPSIS. The Journal of Supercomputing. 81(1). 1 indexed citations
2.
Riaz, Muhammad, et al.. (2023). Emerging Trends in Social Networking Systems and Generation Gap with Neutrosophic Crisp Soft Mapping. Computer Modeling in Engineering & Sciences. 136(2). 1759–1783. 7 indexed citations
3.
Riaz, Muhammad, Hafiz Muhammad Athar Farid, & Faruk Karaaslan. (2023). Linear Diophantine Fuzzy Aggregation Operators with Multi-Criteria Decision-Making. 4(1). 24–35. 16 indexed citations
4.
Shahzadi, Gulfam, Anam Luqman, & Faruk Karaaslan. (2023). A decision-making technique under interval-valued Fermatean fuzzy Hamacher interactive aggregation operators. Soft Computing. 1–28. 13 indexed citations
5.
Karaaslan, Faruk & Naim Çağman. (2022). Parameter trees based on soft set theory and their similarity measures. Soft Computing. 26(10). 4629–4639. 5 indexed citations
6.
Akram, Muhammad, et al.. (2021). Extension of Threshold Graphs Under Complex Intuitionistic Fuzzy Environment.. 37. 295–315. 3 indexed citations
7.
Akram, Muhammad, Ayesha Khan, & Faruk Karaaslan. (2021). Complex Spherical Dombi Fuzzy Aggregation Operators for Decision-Making.. 37. 503–531. 8 indexed citations
8.
Karaaslan, Faruk, et al.. (2021). Complex T-spherical fuzzy Dombi aggregation operators and their applications in multiple-criteria decision-making. Complex & Intelligent Systems. 7(5). 2711–2734. 38 indexed citations
9.
Karaaslan, Faruk, et al.. (2020). Correlation coefficients of dual type‐2 hesitant fuzzy sets and their applications in clustering analysis. International Journal of Intelligent Systems. 35(7). 1200–1229. 38 indexed citations
10.
Riaz, Muhammad, et al.. (2020). Soft multi-rough set topology with applications to multi-criteria decision-making problems. Soft Computing. 25(1). 799–815. 13 indexed citations
11.
Karaaslan, Faruk, et al.. (2020). Type-2 single-valued neutrosophic sets and their applications in multi-criteria group decision making based on TOPSIS method. Journal of Ambient Intelligence and Humanized Computing. 11(10). 4113–4132. 48 indexed citations
12.
Enginoğlu, Serdar, Samet Memiş, & Faruk Karaaslan. (2019). A New Approach to Group Decision-Making Method Based on TOPSIS Under Fuzzy Soft Environment. DergiPark (Istanbul University). 18 indexed citations
13.
Hayat, Khizar, et al.. (2019). Design concept evaluation using soft sets based on acceptable and satisfactory levels: an integrated TOPSIS and Shannon entropy. Soft Computing. 24(3). 2229–2263. 65 indexed citations
14.
Hayat, Khizar, et al.. (2018). Characterizations of Certain Types of Type 2 Soft Graphs. Discrete Dynamics in Nature and Society. 2018. 1–15. 11 indexed citations
15.
Hayat, Khizar, Muhammad İrfan Ali, Bing-Yuan Cao, Faruk Karaaslan, & Xiaopeng Yang. (2018). Another View of Aggregation Operators on Group-Based Generalized Intuitionistic Fuzzy Soft Sets: Multi-Attribute Decision Making Methods. Symmetry. 10(12). 753–753. 32 indexed citations
16.
Karaaslan, Faruk & Bijan Davvaz. (2018). Properties of single-valued neutrosophic graphs. Journal of Intelligent & Fuzzy Systems. 34(1). 57–79. 21 indexed citations
17.
Hayat, Khizar, Muhammad İrfan Ali, Bing-Yuan Cao, & Faruk Karaaslan. (2017). New results on type-2 soft sets. Hacettepe Journal of Mathematics and Statistics. 5(46). 9 indexed citations
18.
Karaaslan, Faruk. (2017). Possibility Neutrosophic Soft Sets And Pns-Decision Making Method. Zenodo (CERN European Organization for Nuclear Research). 4 indexed citations
19.
Karaaslan, Faruk & Serkan Karataş. (2016). OR and AND-products of ifp-intuitionistic fuzzy soft sets and their applications in decision making. Journal of Intelligent & Fuzzy Systems. 31(3). 1427–1434. 11 indexed citations
20.
Karaaslan, Faruk, et al.. (2013). On Intuitionistic Fuzzy Soft Groups. SHILAP Revista de lepidopterología. 2(3). 72–86. 5 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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