Noor Rehman

543 total citations
55 papers, 407 citations indexed

About

Noor Rehman is a scholar working on Management Science and Operations Research, Computational Theory and Mathematics and Artificial Intelligence. According to data from OpenAlex, Noor Rehman has authored 55 papers receiving a total of 407 indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Management Science and Operations Research, 42 papers in Computational Theory and Mathematics and 8 papers in Artificial Intelligence. Recurrent topics in Noor Rehman's work include Rough Sets and Fuzzy Logic (37 papers), Multi-Criteria Decision Making (33 papers) and Advanced Algebra and Logic (20 papers). Noor Rehman is often cited by papers focused on Rough Sets and Fuzzy Logic (37 papers), Multi-Criteria Decision Making (33 papers) and Advanced Algebra and Logic (20 papers). Noor Rehman collaborates with scholars based in Pakistan, South Korea and Saudi Arabia. Noor Rehman's co-authors include Muhammad İrfan Ali, Shahzaib Ashraf, Choonkil Park, Asghar Khan, Muhammad Naeem, Hussain AlSalman, Abdu Gumaei, Iram Bibi, Пэйдэ Лю and Abbas Khan and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and IEEE Access.

In The Last Decade

Noor Rehman

49 papers receiving 396 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Noor Rehman Pakistan	13	271	226	69	54	48	55	407
Fan Jia China	7	393 1.5×	365 1.6×	105 1.5×	73 1.4×	68 1.4×	15	521
Aqsa Sattar Pakistan	11	227 0.8×	130 0.6×	43 0.6×	107 2.0×	9 0.2×	19	311
Muhammad Haris Saeed Pakistan	13	211 0.8×	107 0.5×	67 1.0×	46 0.9×	5 0.1×	40	438
Lidan Pei China	10	292 1.1×	97 0.4×	97 1.4×	102 1.9×	13 0.3×	18	349
Adeel Farooq Pakistan	10	132 0.5×	150 0.7×	39 0.6×	44 0.8×	2 0.0×	21	329
Hu Pei China	8	195 0.7×	289 1.3×	107 1.6×	25 0.5×	116 2.4×	28	408
Mingwei Wang China	8	253 0.9×	187 0.8×	85 1.2×	48 0.9×	40 0.8×	17	327
Jingru Wang China	11	89 0.3×	113 0.5×	25 0.4×	18 0.3×	10 0.2×	29	331
Livia D’Apuzzo Italy	12	356 1.3×	184 0.8×	104 1.5×	54 1.0×	5 0.1×	25	394

Countries citing papers authored by Noor Rehman

Since Specialization

Citations

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

Fields of papers citing papers by Noor Rehman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Noor Rehman

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

All Works

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20 of 20 papers shown

Liu, Peide, et al.. (2025). Artificial intelligence in medical practice: The CRITIC-TOPSIS method based on λ(pq)-cubic quasi rung orthopair fuzzy robust aggregation operators and their applications. Information Sciences. 710. 122076–122076.

Rehman, Noor, et al.. (2024). Local soft rough approximations and their applications to conflict analysis problems. Knowledge and Information Systems. 66(7). 4063–4092. 1 indexed citations

Ashraf, Shahzaib, et al.. (2023). Novel Information Measures for Fermatean Fuzzy Sets and Their Applications to Pattern Recognition and Medical Diagnosis. Computational Intelligence and Neuroscience. 2023(1). 9273239–9273239. 16 indexed citations

Rehman, Noor, et al.. (2023). A novel approach to three-way decision model under fuzzy soft dominance degree relations and emergency situation. Expert Systems with Applications. 239. 122369–122369. 5 indexed citations

Rehman, Noor, et al.. (2023). Fermatean hesitant fuzzy rough aggregation operators and their applications in multiple criteria group decision-making. Scientific Reports. 13(1). 6676–6676. 12 indexed citations

Ashraf, Shahzaib, et al.. (2022). A Decision‐Making Framework Using q ‐Rung Orthopair Probabilistic Hesitant Fuzzy Rough Aggregation Information for the Drug Selection to Treat COVID‐19. Complexity. 2022(1). 23 indexed citations

Huang, Chun-Nen, Shahzaib Ashraf, Noor Rehman, Saleem Abdullah, & Azmat Hussain. (2022). A Novel Spherical Fuzzy Rough Aggregation Operators Hybrid with TOPSIS Method and Their Application in Decision Making. Mathematical Problems in Engineering. 2022. 1–20. 9 indexed citations

Ashraf, Shahzaib, et al.. (2022). Decision support model for the patient admission scheduling problem based on picture fuzzy aggregation information and TOPSIS methodology. Mathematical Biosciences & Engineering. 19(3). 3147–3176. 9 indexed citations

Ashraf, Shahzaib, et al.. (2022). A wind power plant site selection algorithm based on q-rung orthopair hesitant fuzzy rough Einstein aggregation information. Scientific Reports. 12(1). 5443–5443. 18 indexed citations

10.

Park, Choonkil, Shahzaib Ashraf, Noor Rehman, Saleem Abdullah, & Muhammad Aslam. (2021). Evaluation of the product quality of the online shopping platform using t -spherical fuzzy preference relations. Journal of Intelligent & Fuzzy Systems. 41(6). 6245–6262. 5 indexed citations

11.

Лю, Пэйдэ, et al.. (2020). Another View on Intuitionistic Fuzzy Preference Relation-Based Aggregation Operators and Their Applications. International Journal of Fuzzy Systems. 22(6). 1786–1800. 16 indexed citations

12.

Khan, Muhammad Uzair, et al.. (2020). Soft ordered based multi-granulation rough sets and incomplete information system. Journal of Intelligent & Fuzzy Systems. 39(1). 81–105. 2 indexed citations

13.

Rehman, Noor, et al.. (2019). Soft ordered approximations and incomplete information system. Journal of Intelligent & Fuzzy Systems. 36(6). 5653–5667. 1 indexed citations

14.

Rehman, Noor, et al.. (2019). Uncertainty measurement for neighborhood based soft covering rough graphs with applications. Revista de la Real Academia de Ciencias Exactas Físicas y Naturales Serie A Matemáticas. 113(3). 2515–2535. 8 indexed citations

15.

Park, Choonkil, et al.. (2019). Soft covering based rough graphs and corresponding decision making. Open Mathematics. 17(1). 423–438. 6 indexed citations

16.

Mehmood, Nayyar, et al.. (2018). Z -soft rough fuzzy graphs: A new approach to decision making. Journal of Intelligent & Fuzzy Systems. 35(4). 4879–4891. 2 indexed citations

17.

Rehman, Noor, et al.. (2018). Generalised roughness in (∈,∈Vq)-fuzzy substructures of LA-semigroups. Journal of the National Science Foundation of Sri Lanka. 46(3). 465–465. 2 indexed citations

18.

Rehman, Noor & Muhammad Shabir. (2013). Some kinds of -fuzzy ideals of ternary semigroups. Iranian Journal of Science and Technology (Sciences). 37. 365–378. 1 indexed citations

19.

Shabir, Muhammad & Noor Rehman. (2012). Characterizations of ternary semigroups by ,qk -fuzzy ideals. Iranian Journal of Science and Technology (Sciences). 36. 395–410. 1 indexed citations

20.

Rehman, Noor. (2012). Pure Fuzzy Ideals in Ternary semigroups. 1(2). 1–1. 3 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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