Muhammad Shabir

148 papers and 3.0k indexed citations i.

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 148 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 135 papers in Management Science and Operations Research, 130 papers in Computational Theory and Mathematics and 37 papers in Artificial Intelligence. Recurrent topics in Muhammad Shabir’s work include Fuzzy and Soft Set Theory (114 papers), Advanced Algebra and Logic (95 papers) and Rough Sets and Fuzzy Logic (72 papers). Muhammad Shabir is often cited by papers focused on Fuzzy and Soft Set Theory (114 papers), Advanced Algebra and Logic (95 papers) and Rough Sets and Fuzzy Logic (72 papers). Muhammad Shabir collaborates with scholars based in Pakistan, Saudi Arabia and South Korea. Muhammad Shabir's co-authors include Muhammad İrfan Ali, Munazza Naz, Feng Feng, Xiaoyan Liu, Won Keun Min, Asghar Khan, Young Bae Jun, Shahida Bashir, Wiesław A. Dudek and Bijan Davvaz and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Information Sciences.

In The Last Decade

Co-authorship network of co-authors of Muhammad Shabir i

Fields of papers citing papers by Muhammad Shabir

Since Specialization
EngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics

This network shows the specialization of papers citing the papers produced by Muhammad Shabir. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Muhammad Shabir may publish in the future.

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).

Rankless by CCL
2025