Shahzad Faizi

871 total citations
27 papers, 653 citations indexed

About

Shahzad Faizi is a scholar working on Management Science and Operations Research, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Shahzad Faizi has authored 27 papers receiving a total of 653 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Management Science and Operations Research, 11 papers in Artificial Intelligence and 9 papers in Control and Systems Engineering. Recurrent topics in Shahzad Faizi's work include Multi-Criteria Decision Making (24 papers), Optimization and Mathematical Programming (9 papers) and Rough Sets and Fuzzy Logic (9 papers). Shahzad Faizi is often cited by papers focused on Multi-Criteria Decision Making (24 papers), Optimization and Mathematical Programming (9 papers) and Rough Sets and Fuzzy Logic (9 papers). Shahzad Faizi collaborates with scholars based in Pakistan, Poland and China. Shahzad Faizi's co-authors include Wojciech Sałabun, Tabasam Rashid, Sohail Zafar, Jarosław Wątróbski, Jakub Więckowski, Zeshui Xu, Muhammad Ismail, Andrii Shekhovtsov, Muhammad Sajjad and Muhammad Raza Shah and has published in prestigious journals such as PLoS ONE, Expert Systems with Applications and IEEE Access.

In The Last Decade

Shahzad Faizi

25 papers receiving 636 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shahzad Faizi Pakistan 11 503 164 164 126 114 27 653
Bapi Dutta Spain 17 567 1.1× 158 1.0× 251 1.5× 149 1.2× 138 1.2× 47 868
Zhiliang Ren China 17 704 1.4× 182 1.1× 209 1.3× 215 1.7× 104 0.9× 34 847
Rakesh Kumar Bajaj India 14 562 1.1× 194 1.2× 173 1.1× 169 1.3× 141 1.2× 72 751
Kiran Zahid Pakistan 12 557 1.1× 222 1.4× 102 0.6× 158 1.3× 112 1.0× 14 726
Donghai Liu China 16 610 1.2× 218 1.3× 162 1.0× 192 1.5× 163 1.4× 34 725
Xiaohan Yu China 14 581 1.2× 286 1.7× 202 1.2× 130 1.0× 161 1.4× 36 766
Yanping Jiang China 12 615 1.2× 189 1.2× 239 1.5× 210 1.7× 109 1.0× 32 796
Gao-Feng Yu China 12 454 0.9× 131 0.8× 159 1.0× 96 0.8× 71 0.6× 18 637
Kifayat Ullah Pakistan 15 649 1.3× 269 1.6× 121 0.7× 151 1.2× 162 1.4× 42 790

Countries citing papers authored by Shahzad Faizi

Since Specialization
Citations

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

Fields of papers citing papers by Shahzad Faizi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shahzad Faizi

This figure shows the co-authorship network connecting the top 25 collaborators of Shahzad Faizi. A scholar is included among the top collaborators of Shahzad Faizi 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 Shahzad Faizi. Shahzad Faizi 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.
2.
Faizi, Shahzad, et al.. (2025). Smart Decision Support for Employee Satisfaction: A Hesitant Fuzzy Linguistic Regression Model Applied to Tech Startups. Journal of Statistical Theory and Applications. 24(4). 1242–1262.
3.
Siddiqui, Ruqaiyyah, Muhammad Kawish, Shahzad Faizi, et al.. (2024). The potential of nanocomposites (patuletin-conjugated with gallic acid-coated zinc oxide) against free-living amoebae pathogens. International Microbiology. 28(5). 929–939. 2 indexed citations
4.
5.
Saifullah, Salim, Rukesh Maharjan, Samina Bano, et al.. (2023). Patuletin from Tagetes patula: an Inhibitor of MMP-2 and MMP-9 in Collagen-Induced Arthritis Rat Model and Virtual Screening Analysis. Revista Brasileira de Farmacognosia. 33(6). 1207–1222. 2 indexed citations
6.
Faizi, Shahzad, et al.. (2023). Some Operations and Properties of the Cubic Intuitionistic Set with Application in Multi-Criteria Decision-Making. Mathematics. 11(5). 1190–1190. 6 indexed citations
7.
Sajjad, Muhammad, Wojciech Sałabun, Shahzad Faizi, & Muhammad Ismail. (2022). Hesitant 2-tuple fuzzy linguistic multi-criteria decision-making method based on correlation measures. PLoS ONE. 17(8). e0270414–e0270414. 3 indexed citations
8.
Sałabun, Wojciech, et al.. (2022). Making Group Decisions within the Framework of a Probabilistic Hesitant Fuzzy Linear Regression Model. Sensors. 22(15). 5736–5736. 4 indexed citations
9.
Faizi, Shahzad, et al.. (2022). A modified VIKOR method for group decision-making based on aggregation operators for hesitant intuitionistic fuzzy linguistic term sets. Soft Computing. 26(5). 2375–2390. 13 indexed citations
10.
Sałabun, Wojciech, et al.. (2021). On Graph Structures in Fuzzy Environment Using Optimization Parameter. IEEE Access. 9. 75699–75711. 5 indexed citations
11.
Sałabun, Wojciech, et al.. (2021). Hesitant Fuzzy Linear Regression Model for Decision Making. Symmetry. 13(10). 1846–1846. 8 indexed citations
12.
Shekhovtsov, Andrii, et al.. (2021). On the Analytic Hierarchy Process Structure in Group Decision-Making Using Incomplete Fuzzy Information with Applications. Symmetry. 13(4). 609–609. 30 indexed citations
13.
Sajjad, Muhammad, Wojciech Sałabun, Shahzad Faizi, Muhammad Ismail, & Jarosław Wątróbski. (2021). Statistical and analytical approach of multi-criteria group decision-making based on the correlation coefficient under intuitionistic 2-tuple fuzzy linguistic environment. Expert Systems with Applications. 193. 116341–116341. 27 indexed citations
14.
15.
Faizi, Shahzad, Wojciech Sałabun, Tabasam Rashid, Sohail Zafar, & Jarosław Wątróbski. (2020). Intuitionistic Fuzzy Sets in Multi-Criteria Group Decision Making Problems Using the Characteristic Objects Method. Symmetry. 12(9). 1382–1382. 53 indexed citations
16.
Faizi, Shahzad, et al.. (2020). Intuitionistic 2-tuple linguistic aggregation information based on Einstein operations and their applications in group decision making. Artificial Intelligence Review. 53(6). 4625–4650. 11 indexed citations
17.
Faizi, Shahzad, Tabasam Rashid, Zeshui Xu, & Sohail Zafar. (2018). Distance measures for hesitant intuitionistic fuzzy linguistic term sets based on a risk factor parameter. International Journal of Computers and Applications. 41(6). 418–435. 4 indexed citations
18.
Rashid, Tabasam, Shahzad Faizi, & Sohail Zafar. (2018). Distance Based Entropy Measure of Interval-Valued Intuitionistic Fuzzy Sets and Its Application in Multicriteria Decision Making. Advances in Fuzzy Systems. 2018. 1–10. 20 indexed citations
19.
Rashid, Tabasam, Shahzad Faizi, Zeshui Xu, & Sohail Zafar. (2017). ELECTRE-Based Outranking Method for Multi-criteria Decision Making Using Hesitant Intuitionistic Fuzzy Linguistic Term Sets. International Journal of Fuzzy Systems. 20(1). 78–92. 38 indexed citations
20.
Faizi, Shahzad, Tabasam Rashid, Wojciech Sałabun, Sohail Zafar, & Jarosław Wątróbski. (2017). Decision Making with Uncertainty Using Hesitant Fuzzy Sets. International Journal of Fuzzy Systems. 20(1). 93–103. 156 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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