Muhammad Irfan
- Hardware and Architecture top 5%
- Network Packet Processing and Optimization 13
- Parallel Computing and Optimization Techniques 3
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- Software-Defined Networks and 5G 6
- IoT and Edge/Fog Computing 4
- Caching and Content Delivery 4
- Cooperative Communication and Network Coding 3
- Information Systems top 5%
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- Advanced Memory and Neural Computing 6
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- Chemical Synthesis and Analysis 3
- Co-authors
- Ray C. C. CheungAbdurrashid Ibrahim SankaIan HuangZahid UllahRizwan QureshiTanvir AlamJia WuAbbas Shah
- Journals
- SHILAP Revista de lepidopterología (1 paper)IEEE Access (5 papers)Future Generation Computer Systems (1 paper)
In The Last Decade
Muhammad Irfan
34 papers receiving 427 citations
Hit Papers
Peers
Comparison fields: 5 of 87
- Hardware and Architecture 106
- Computer Networks and Communications 167
- Information Systems 161
- Health Informatics 9
- Management Information Systems 34
Countries citing papers authored by Muhammad Irfan
This map shows the geographic impact of Muhammad Irfan'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 Irfan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Irfan more than expected).
Fields of papers citing papers by Muhammad Irfan
This network shows the impact of papers produced by Muhammad Irfan. 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 Irfan. The network helps show where Muhammad Irfan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Muhammad Irfan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 6 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 73 | |
| 5 | 2023 | 7 | |
| 6 | 2023 | 2 | |
| 7 | Tinjauan Literatur Named Entity Recognition dengan Machine Learning dan Deep Learning pada Ulasan Wisata | 2021 | 1 |
| 8 | 2021 | 7 | |
| 9 | 2021 | 14 | |
| 10 | 2020 | 3 | |
| 11 | 2019 | 8 | |
| 12 | 2019 | 1 | |
| 13 | 2019 | 0 | |
| 14 | 2019 | 15 | |
| 15 | 2018 | 2 | |
| 16 | 2013 | 0 | |
| 17 | 2013 | 2 | |
| 18 | 2012 | 1 | |
| 19 | 2012 | 2 | |
| 20 | 2011 | 2 |
About Muhammad Irfan
Muhammad Irfan is a scholar working on Hardware and Architecture, Computer Networks and Communications and Electrical and Electronic Engineering, having authored 41 papers that have together received 445 indexed citations. Recurring topics across this work include Network Packet Processing and Optimization (13 papers), Advanced Memory and Neural Computing (6 papers), Software-Defined Networks and 5G (6 papers), IoT and Edge/Fog Computing (4 papers), Caching and Content Delivery (4 papers), Chemical Synthesis and Analysis (3 papers), Cooperative Communication and Network Coding (3 papers) and Parallel Computing and Optimization Techniques (3 papers). The work is most often cited by research in Hardware and Architecture (106 citations), Computer Networks and Communications (167 citations) and Information Systems (161 citations). Muhammad Irfan has collaborated with scholars based in Pakistan, Hong Kong and China. Frequent co-authors include Ray C. C. Cheung, Abdurrashid Ibrahim Sanka, Ian Huang, Zahid Ullah, Rizwan Qureshi, Tanvir Alam, Jia Wu, Abbas Shah, Amine Bermak and Taimoor Muzaffar Gondal. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Future Generation Computer Systems.
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.