Muhammad Khan

3.5k citations
180 papers · 2.6k · h-index 28

Impact in

Papers in

    • Advanced machining processes and optimization 17
    • Non-Destructive Testing Techniques 14
    • Adhesion, Friction, and Surface Interactions 15
    • Ultrasonics and Acoustic Wave Propagation 15
    • Fatigue and fracture mechanics 13

Muhammad Khan

171 papers receiving 2.5k citations

Peers

Muhammad Khan
Comparison fields: 5 of 142
  • Automotive Engineering 501
  • Industrial and Manufacturing Engineering 396
  • Mechanical Engineering 1.1k
  • Mechanics of Materials 630
  • Management of Technology and Innovation 132
Replace Ahmad Mayyas with:
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Muhammad Khan relative to Ahmad Mayyas United Arab Emirates Ahmad Mayyas's profile →
Citations per field
00.5×1.5×2×2.5×
Ahmad Mayyas · 1×
Citations per year

Countries citing papers authored by Muhammad Khan

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Muhammad Khan, 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 Khan Line = papers co-authored together Muhammad Khan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 180 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201992
2 202190
3 201190
4 202079
5 202078
6 198076
7 202175
8 201363
9 198059
10 200057
11 202050
12 202149
13 202247
14 202146
15 201944
16 201841
17 201940
18 202239
19 201637
20 201135

About Muhammad Khan

Muhammad Khan is a scholar working on Mechanical Engineering, Mechanics of Materials, Civil and Structural Engineering, Automotive Engineering and Industrial and Manufacturing Engineering, having authored 180 papers that have together received 2.6k indexed citations. Recurring topics across this work include Additive Manufacturing and 3D Printing Technologies (22 papers), Structural Health Monitoring Techniques (19 papers), Advanced machining processes and optimization (17 papers), Manufacturing Process and Optimization (16 papers), Adhesion, Friction, and Surface Interactions (15 papers), Ultrasonics and Acoustic Wave Propagation (15 papers), Non-Destructive Testing Techniques (14 papers) and Fatigue and fracture mechanics (13 papers). The work is most often cited by research in Automotive Engineering (501 citations), Industrial and Manufacturing Engineering (396 citations), Mechanical Engineering (1.1k citations), Mechanics of Materials (630 citations) and Management of Technology and Innovation (132 citations). Muhammad Khan has collaborated with scholars based in United Kingdom, Pakistan and Saudi Arabia. Frequent co-authors include Kamran A. Khan, Feiyang He, Andrew Starr, Sohaib Z. Khan, Mushtaq Khan, Syed Husain Imran Jaffery, Salem Mohammed Aldosari, Muhammad Younas, Sameer S. Rahatekar and Riaz Ahmad. Their work appears in journals such as Polymers, Sensors, Materials, Applied Sciences and Insight - Non-Destructive Testing and Condition Monitoring.

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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