Nasreen Kausar

1.2k total citations
120 papers, 753 citations indexed

About

Nasreen Kausar is a scholar working on Management Science and Operations Research, Computational Theory and Mathematics and Artificial Intelligence. According to data from OpenAlex, Nasreen Kausar has authored 120 papers receiving a total of 753 indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Management Science and Operations Research, 41 papers in Computational Theory and Mathematics and 25 papers in Artificial Intelligence. Recurrent topics in Nasreen Kausar's work include Multi-Criteria Decision Making (44 papers), Fuzzy and Soft Set Theory (35 papers) and Fuzzy Systems and Optimization (24 papers). Nasreen Kausar is often cited by papers focused on Multi-Criteria Decision Making (44 papers), Fuzzy and Soft Set Theory (35 papers) and Fuzzy Systems and Optimization (24 papers). Nasreen Kausar collaborates with scholars based in Türkiye, Pakistan and India. Nasreen Kausar's co-authors include Mudassir Shams, Muhammad Gulzar, Praveen Agarwal, Dragan Pamučar, Ebru Ozbılge, Mohd Asif Shah, Nazir Ahmad Mir, Choonkil Park, Muhammad Gulistan and Shams Forruque Ahmed and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

Nasreen Kausar

105 papers receiving 701 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nasreen Kausar Türkiye 14 381 192 143 113 106 120 753
Zun-Quan Xia China 11 359 0.9× 209 1.1× 122 0.9× 96 0.8× 219 2.1× 55 813
Yao Ouyang China 26 891 2.3× 544 2.8× 149 1.0× 88 0.8× 160 1.5× 76 1.5k
Xinxing Wu China 14 697 1.8× 79 0.4× 103 0.7× 19 0.2× 42 0.4× 39 1.1k
G. Muhiuddin Saudi Arabia 16 825 2.2× 466 2.4× 245 1.7× 8 0.1× 170 1.6× 132 1.2k
Tamás Rapcsák Hungary 14 294 0.8× 435 2.3× 87 0.6× 231 2.0× 125 1.2× 43 949
Lucian Coroianu Romania 20 539 1.4× 103 0.5× 210 1.5× 188 1.7× 242 2.3× 73 1.0k
B. Asady Iran 14 736 1.9× 109 0.6× 262 1.8× 90 0.8× 441 4.2× 21 1.1k
Fazal Ghani Pakistan 10 481 1.3× 126 0.7× 86 0.6× 14 0.1× 252 2.4× 25 673
Fabio Tardella Italy 17 408 1.1× 216 1.1× 46 0.3× 179 1.6× 102 1.0× 53 747

Countries citing papers authored by Nasreen Kausar

Since Specialization
Citations

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

Fields of papers citing papers by Nasreen Kausar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nasreen Kausar

This figure shows the co-authorship network connecting the top 25 collaborators of Nasreen Kausar. A scholar is included among the top collaborators of Nasreen Kausar 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 Nasreen Kausar. Nasreen Kausar 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.
Shams, Mudassir, et al.. (2025). Converging efficiency: Computational and fractal insights into parallel non-linear schemes. Ain Shams Engineering Journal. 16(11). 103670–103670.
2.
Vimala, J., et al.. (2025). Extended PROMETHEE method with (p,q)-rung linear Diophantine fuzzy sets for robot selection problem. Scientific Reports. 15(1). 69–69. 3 indexed citations
3.
Shams, Mudassir, Nasreen Kausar, Serkan Aracı, & Georgia Irina Oros. (2024). Artificial hybrid neural network-based simultaneous scheme for solving nonlinear equations: Applications in engineering. Alexandria Engineering Journal. 108. 292–305. 6 indexed citations
4.
Kausar, Nasreen, et al.. (2024). Diophantine spherical vague sets and their applications for micro-technology robots based on multiple-attribute decision-making. Engineering Applications of Artificial Intelligence. 139. 109447–109447. 2 indexed citations
6.
Vimala, J., et al.. (2024). Bipolar linear Diophantine fuzzy EDAS for multi-attribute group decision-making. Journal of Mathematics and Computer Science. 38(1). 25–44. 1 indexed citations
7.
Ejegwa, Paul Augustine, Nasreen Kausar, Nezir Aydın, & Muhammet Deveci. (2024). A novel Pythagorean fuzzy correlation coefficient based on Spearman’s technique of correlation coefficient with applications in supplier selection process. Journal of Industrial Information Integration. 44. 100762–100762. 4 indexed citations
8.
Kausar, Nasreen, et al.. (2024). Linear Programming Model for Sunflower Oil Supply Chain Network. 3(1). 1–21. 1 indexed citations
9.
Bouteraa, Yassine, et al.. (2023). A Fuzzy Intelligent Computing Approach for Energy/Voltage Control of Microgrids. Journal of Mathematics. 2023. 1–11. 4 indexed citations
10.
Kausar, Nasreen, et al.. (2023). Simplifying the Complexity in the Problem of Choosing the Best Private-Sector Partner. Systems. 11(2). 80–80. 15 indexed citations
11.
Shams, Mudassir, et al.. (2023). Techniques for Finding Analytical Solution of Generalized Fuzzy Differential Equations with Applications. Complexity. 2023. 1–31. 6 indexed citations
12.
Gulistan, Muhammad, et al.. (2023). A Novel Method for Determining Tourism Carrying Capacity in a Decision-Making Context Using <i>q</i>−Rung Orthopair Fuzzy Hypersoft Environment. Computer Modeling in Engineering & Sciences. 138(2). 1951–1979. 1 indexed citations
13.
Ejegwa, Paul Augustine, et al.. (2023). A New Partial Correlation Coefficient Technique Based on Intuitionistic Fuzzy Information and Its Pattern Recognition Application. International Journal of Intelligent Systems. 2023(1). 16 indexed citations
14.
Yaqoob, Naveed, et al.. (2021). Computer-Based Fuzzy Numerical Method for Solving Engineering and Real-World Applications. Mathematical Problems in Engineering. 2021. 1–13. 7 indexed citations
15.
Shams, Mudassir, et al.. (2021). Numerical Scheme for Finding Roots of Interval-Valued Fuzzy Nonlinear Equation with Application in Optimization. Journal of Function Spaces. 2021. 1–16. 4 indexed citations
16.
Shams, Mudassir, et al.. (2021). Inverse Family of Numerical Methods for Approximating All Simple and Roots with Multiplicity of Nonlinear Polynomial Equations with Engineering Applications. Mathematical Problems in Engineering. 2021. 1–9. 3 indexed citations
17.
Nawaz, Shah, et al.. (2021). On the Left and Right Almost Hyperideals of LA-Semihypergroups. International Journal of Fuzzy Logic and Intelligent Systems. 21(1). 86–92. 6 indexed citations
18.
Shabbir, Javid, et al.. (2021). Use of Intuitionistic Fuzzy Numbers in Survey Sampling Analysis with Application in Electronic Data Interchange. Complexity. 2021(1). 4 indexed citations
19.
Kausar, Nasreen, et al.. (2021). Fuzzy Product KM‐Subalgebras and Some Related Properties. Complexity. 2021(1).
20.
Chu, Yu‐Ming, et al.. (2020). Characterizations of ordered $h$-regular semirings by ordered $h$-ideals. AIMS Mathematics. 5(6). 5768–5790. 2 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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