Muhammad Arif Butt

671 citations
33 papers · 458 · h-index 11

Impact in

    • Wound Healing and Treatments
    • Electrospun Nanofibers in Biomedical Applications
    • Silk-based biomaterials and applications

Papers in

Muhammad Arif Butt

33 papers receiving 453 citations

Peers

Muhammad Arif Butt
Comparison fields: 5 of 99
  • Rehabilitation 91
  • Biomaterials 87
  • Management Science and Operations Research 66
  • Molecular Medicine 14
  • Mechanical Engineering 105
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Zhong Li China
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Dhaivat Parikh India
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Citations per field
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Citations per year

Countries citing papers authored by Muhammad Arif Butt

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Arif Butt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021120
2 201532
3 197931
4 202130
5 197628
6 201323
7 201623
8 201621
9 198018
10 202112
11 202110
12 202010
13 202210
14 201610
15 202110
16 20219
17 20219
18 20228
19 20216
20 19766

About Muhammad Arif Butt

Muhammad Arif Butt is a scholar working on Mechanical Engineering, Artificial Intelligence, Biomedical Engineering, Management Science and Operations Research and Information Systems, having authored 33 papers that have together received 458 indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (5 papers), Membrane Separation and Gas Transport (4 papers), Fuzzy Logic and Control Systems (3 papers), Business Process Modeling and Analysis (3 papers), IoT and Edge/Fog Computing (3 papers), Membrane-based Ion Separation Techniques (3 papers), Industrial Gas Emission Control (2 papers) and Intuitionistic Fuzzy Systems Applications (2 papers). The work is most often cited by research in Rehabilitation (91 citations), Biomaterials (87 citations), Management Science and Operations Research (66 citations), Molecular Medicine (14 citations) and Mechanical Engineering (105 citations). Muhammad Arif Butt has collaborated with scholars based in Pakistan, Saudi Arabia and Malaysia. Frequent co-authors include Muhammad Akram, Eizô Sada, Hidehiro Kumazawa, Shahzad Maqsood Khan, Saba Zia, Rafi Ullah Khan, Nafisa Gull, Tanveer A. Tabish, Atif Islam and José Carlos R. Alcantud. Their work appears in journals such as Computers, materials & continua/Computers, materials & continua (Print), Journal of Intelligent & Fuzzy Systems, Neural Computing and Applications, PeerJ Computer Science and Journal of Polymers and the Environment.

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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