Muhammad Arshad

45 papers receiving 563 citations

Peers

Muhammad Arshad
Comparison fields: 5 of 97
  • Management Science and Operations Research 83
  • Electrical and Electronic Engineering 331
  • Industrial and Manufacturing Engineering 48
  • Safety, Risk, Reliability and Quality 47
  • Materials Chemistry 234
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Jianning Li China
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David E. Bernal United States
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Citations per year

Countries citing papers authored by Muhammad Arshad

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Arshad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Muhammad Arshad, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Muhammad Arshad Line = papers co-authored together Muhammad Arshad links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201187
2 201472
3 202450
4 201042
5 200430
6 200526
7 200626
8 202423
9
Power transformer aging and life extension
200520
10 202218
11 200716
12 202314
13 202312
14 201712
15 202111
16 202211
17 202311
18 202110
19 202010
20 20238

About Muhammad Arshad

Muhammad Arshad is a scholar working on Management Science and Operations Research, Electrical and Electronic Engineering, Materials Chemistry, Artificial Intelligence and Computational Theory and Mathematics, having authored 48 papers that have together received 608 indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (13 papers), Fuzzy and Soft Set Theory (10 papers), Power Transformer Diagnostics and Insulation (9 papers), High voltage insulation and dielectric phenomena (9 papers), Advanced Algebra and Logic (5 papers), Power System Reliability and Maintenance (4 papers), Lightning and Electromagnetic Phenomena (3 papers) and Iterative Methods for Nonlinear Equations (3 papers). The work is most often cited by research in Management Science and Operations Research (83 citations), Electrical and Electronic Engineering (331 citations), Industrial and Manufacturing Engineering (48 citations), Safety, Risk, Reliability and Quality (47 citations) and Materials Chemistry (234 citations). Muhammad Arshad has collaborated with scholars based in Pakistan, Australia and United Arab Emirates. Frequent co-authors include Syed Islam, Abdul Khaliq, Muhammad Saeed, Atiqe Ur Rahman, Ahmed Abu‐Siada, A. R. Al-Ali, Sakib Shahriar, Nishith Reddy Mannuru, Kadhim Hayawi and Brady Lund. Their work appears in journals such as IEEE Transactions on Dielectrics and Electrical Insulation, PeerJ Computer Science, Advanced Engineering Informatics, Applied Sciences and Journal of Business and Industrial Marketing.

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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