Muhammad Shabir

5.0k total citations · 2 hit papers
173 papers, 3.6k citations indexed

About

Muhammad Shabir is a scholar working on Management Science and Operations Research, Computational Theory and Mathematics and Artificial Intelligence. According to data from OpenAlex, Muhammad Shabir has authored 173 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 155 papers in Management Science and Operations Research, 144 papers in Computational Theory and Mathematics and 46 papers in Artificial Intelligence. Recurrent topics in Muhammad Shabir's work include Fuzzy and Soft Set Theory (133 papers), Advanced Algebra and Logic (109 papers) and Rough Sets and Fuzzy Logic (75 papers). Muhammad Shabir is often cited by papers focused on Fuzzy and Soft Set Theory (133 papers), Advanced Algebra and Logic (109 papers) and Rough Sets and Fuzzy Logic (75 papers). Muhammad Shabir collaborates with scholars based in Pakistan, Saudi Arabia and South Korea. Muhammad Shabir's co-authors include Munazza Naz, Muhammad İrfan Ali, Feng Feng, Xiaoyan Liu, Won Keun Min, Asghar Khan, Young Bae Jun, Shahida Bashir, Wiesław A. Dudek and Muhammad Riaz and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

In The Last Decade

Muhammad Shabir

160 papers receiving 3.2k citations

Hit Papers

On some new operations in soft set theory 2009 2026 2014 2020 2009 2011 250 500 750 1000
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. On some new operations in soft set theory
    2009 1.0k citations Muhammad İrfan Ali, Feng Feng et al. profile →
  2. On soft topological spaces
    2011 638 citations Muhammad Shabir, Munazza Naz profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Muhammad Shabir Pakistan 23 3.3k 2.5k 480 197 157 173 3.6k
Pabitra Kumar Maji India 9 4.1k 1.2× 3.0k 1.2× 392 0.8× 178 0.9× 118 0.8× 14 4.2k
Naim Çağman Türkiye 22 3.0k 0.9× 2.1k 0.9× 322 0.7× 103 0.5× 199 1.3× 57 3.2k
D.A. Molodtsov Russia 6 3.0k 0.9× 2.1k 0.8× 336 0.7× 168 0.9× 102 0.6× 15 3.3k
Tareq M. Al-shami Yemen 32 2.2k 0.7× 1.8k 0.7× 242 0.5× 232 1.2× 88 0.6× 158 2.7k
Young Bae Jun South Korea 32 5.0k 1.5× 4.1k 1.6× 1.3k 2.6× 171 0.9× 510 3.2× 428 5.4k
Wiesław A. Dudek Poland 22 1.5k 0.5× 1.1k 0.4× 569 1.2× 94 0.5× 195 1.2× 89 1.8k
R. A. Borzooei Iran 19 1.2k 0.4× 874 0.3× 493 1.0× 84 0.4× 92 0.6× 210 1.5k
G. Muhiuddin Saudi Arabia 16 825 0.3× 466 0.2× 245 0.5× 80 0.4× 116 0.7× 132 1.2k
Antonio Di Nola Italy 23 984 0.3× 1.6k 0.6× 1.1k 2.3× 24 0.1× 117 0.7× 166 2.1k
Alexander Rybalov United States 10 978 0.3× 855 0.3× 521 1.1× 41 0.2× 22 0.1× 53 1.4k

Countries citing papers authored by Muhammad Shabir

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Shabir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Shabir

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Shabir. A scholar is included among the top collaborators of Muhammad Shabir 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 Muhammad Shabir. Muhammad Shabir 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.
Shabir, Muhammad, et al.. (2024). Covering-based $$(\alpha , \beta )$$-multi-granulation bipolar fuzzy rough set model under bipolar fuzzy preference relation with decision-making applications. Complex & Intelligent Systems. 10(3). 4351–4372. 2 indexed citations
2.
3.
Shabir, Muhammad, et al.. (2023). Rough bipolar fuzzy ideals in semigroups. Complex & Intelligent Systems. 9(6). 7197–7212. 8 indexed citations
4.
5.
Shabir, Muhammad, et al.. (2022). Pessimistic Multigranulation Roughness of a Fuzzy Set Based on Soft Binary Relations over Dual Universes and Its Application. Mathematics. 10(4). 541–541. 7 indexed citations
6.
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
7.
Khan, Majid, Muhammad Gulistan, Naveed Yaqoob, & Muhammad Shabir. (2018). Neutrosophic cubic ( α , β )-ideals in semigroups with application. Journal of Intelligent & Fuzzy Systems. 35(2). 2469–2483. 10 indexed citations
8.
Ali, Mumtaz, Muhammad Shabir, Florentín Smarandache, & Luige Vlădăreanu. (2015). Neutrosophic LA-Semigroup Rings. 7. 81–88. 4 indexed citations
9.
Ali, Mumtaz, Florentín Smarandache, & Muhammad Shabir. (2014). Soft Neutrosophic Groupoids and Their Generalization. 6. 61–80.
10.
Shabir, Muhammad & Muhammad İrfan Ali. (2013). Characterizations of semigroups by the properties of their -fuzzy ideals. Iranian Journal of Science and Technology (Sciences). 37(2). 117–131. 2 indexed citations
11.
Smarandache, Florentín, Muhammad Shabir, Mumtaz Ali, & Munazza Naz. (2013). Soft Neutrosophic Group. 1. 13–25. 13 indexed citations
12.
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
13.
Shabir, Muhammad, et al.. (2013). Semihypergroups characterized by (∈,∈∨q_{k})-fuzzy hyperideals. Information Sciences Letters. 2(2). 8. 4 indexed citations
14.
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
15.
Ali, Muhammad İrfan, Feng Feng, & Muhammad Shabir. (2011). A Note on (Î, Î Ú q)-Fuzzy Equivalence Relations and Indistinguishability Operators  ABSTRACT  |  FULL TEXT. DergiPark (Istanbul University). 2 indexed citations
16.
Corsini, Piergiulio, et al.. (2011). SEMISIMPLE SEMIHYPERGROUPS IN TERMS OF HYPERIDEALS AND FUZZY HYPERIDEALS. Iranian journal of fuzzy systems. 8(1). 95–111. 21 indexed citations
17.
Shabir, Muhammad, et al.. (2010). ON PRIME FUZZY BI-IDEALS OF SEMIGROUPS. Iranian journal of fuzzy systems. 7(3). 115–128. 10 indexed citations
18.
Shabir, Muhammad & Asghar Khan. (2009). INTUITIONISTIC FUZZY INTERIOR IDEALS IN ORDERED SEMIGROUPS. Journal of applied mathematics & informatics. 27. 1447–1457. 5 indexed citations
19.
Shabir, Muhammad & Asghar Khan. (2008). INTUITIONISTIC FUZZY FILTERS OF ORDERED SEMIGROUPS. Journal of applied mathematics & informatics. 26. 1071–1084. 2 indexed citations
20.
Shabir, Muhammad, et al.. (2008). Prime bi-ideals in ternary semigroups. 16(2). 239–256. 9 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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