Muhammad Azmi Ayub

757 citations
56 papers · 549 indexed · h-index 15
Topics
Graphene research and applications (10 papers)Robot Manipulation and Learning (8 papers)Graphene and Nanomaterials Applications (6 papers)
Journals
SHILAP Revista de lepidopterologíaJournal of Cleaner ProductionChemosphere

In The Last Decade

Muhammad Azmi Ayub

51 papers receiving 533 citations

Peers

Muhammad Azmi Ayub
Comparison fields: 5 of 104
  • Biomedical Engineering 180
  • Mechanical Engineering 124
  • Materials Chemistry 123
  • Electrical and Electronic Engineering 78
  • Water Science and Technology 71
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Citations per field
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Citations per year

Countries citing papers authored by Muhammad Azmi Ayub

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Azmi Ayub

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Azmi Ayub

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Azmi Ayub. A scholar is included among the top collaborators of Muhammad Azmi Ayub 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 Azmi Ayub. Muhammad Azmi Ayub 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
#WorkIndexed citations
1 1
2 0
3 37
4 6
5 32
6 2
7 3
8 3
9 0
10 1
11 2
12
EVALUATION OF RENAL MODULE IN FIRST SPIRAL
1
13
Effect of Thermal Treatment on Production of Graphene from Graphite via Exfoliation in Organic Solvent (Acetonitrile)
1
14
Determination of hydraulic parameters of an unconfined aquifer by a single well pumping test.
1
15 14
16 3
17 24
18
Embedding technopreneurship with mechatronics engineering in outcome-based curriculum development for postgraduate education in Malaysia
1
19 14
20 4

About Muhammad Azmi Ayub

Muhammad Azmi Ayub is a scholar working on Control and Systems Engineering, Biomedical Engineering and Industrial and Manufacturing Engineering, having authored 56 papers that have together received 549 indexed citations. Recurring topics across this work include Graphene research and applications (10 papers), Robot Manipulation and Learning (8 papers) and Graphene and Nanomaterials Applications (6 papers). The work is most often cited by research in Water Science and Technology (71 citations), Biomedical Engineering (180 citations) and Industrial and Manufacturing Engineering (39 citations). Muhammad Azmi Ayub has collaborated with scholars based in Malaysia, Pakistan and United Kingdom. Frequent co-authors include Mohd Hafiz Dzarfan Othman, Tonni Agustiono Kurniawan, Imran Ullah Khan, Khalid Nawaz, Mohd Zamri Mohd Yusop, Arshad Hussain, Muhammad Bilal Khan, Noaman Ul‐Haq, Juhana Jaafar and Mukhlis A. Rahman. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Chemosphere.

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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