Muhammad Intizar Ali
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- Digital Transformation in Industry 10
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- IoT and Edge/Fog Computing 22
- Artificial Intelligence top 2%
- Semantic Web and Ontologies 8
- Anomaly Detection Techniques and Applications 6
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- Context-Aware Activity Recognition Systems 11
- Advanced Neural Network Applications 6
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- Service-Oriented Architecture and Web Services 9
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- Data Management and Algorithms 7
- Co-authors
- John G. BreslinPankesh PatelRadhya SahalFeng GaoAmit ShethBharath SudharsanAndreas KamilarisFrancesc X. Prenafeta‐Boldú
- Cited by
- Industrial and Manufacturing EngineeringComputer Networks and CommunicationsMedical Laboratory Technology
- Partner nations
- IrelandUnited KingdomGermany
In The Last Decade
Muhammad Intizar Ali
86 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 117
- Industrial and Manufacturing Engineering 364
- Computer Networks and Communications 658
- Medical Laboratory Technology 30
- Artificial Intelligence 507
- Management Information Systems 133
Countries citing papers authored by Muhammad Intizar Ali
This map shows the geographic impact of Muhammad Intizar Ali'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 Intizar Ali with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Intizar Ali more than expected).
Fields of papers citing papers by Muhammad Intizar Ali
This network shows the impact of papers produced by Muhammad Intizar Ali. 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 Intizar Ali. The network helps show where Muhammad Intizar Ali may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Muhammad Intizar Ali, 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 | 2025 | 0 | |
| 2 | 2025 | 8 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 3 | |
| 7 | 2023 | 11 | |
| 8 | 2023 | 3 | |
| 9 | 2023 | 3 | |
| 10 | 2022 | 17 | |
| 11 | 2022 | 45 | |
| 12 | 2021 | 9 | |
| 13 | 2021 | 36 | |
| 14 | 2021 | 14 | |
| 15 | 2021 | 73 | |
| 16 | 2021 | 46 | |
| 17 | 2021 | 29 | |
| 18 | Demo Abstract: Porting and Execution of Anomalies Detection Models on Embedded Systems in IoT | 2021 | 4 |
| 19 | 2020 | 47 | |
| 20 | 2020 | 4 |
About Muhammad Intizar Ali
Muhammad Intizar Ali is a scholar working on Computer Networks and Communications, Industrial and Manufacturing Engineering and Signal Processing, having authored 93 papers that have together received 1.9k indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (22 papers), Context-Aware Activity Recognition Systems (11 papers), Digital Transformation in Industry (10 papers), Service-Oriented Architecture and Web Services (9 papers), Semantic Web and Ontologies (8 papers), Data Management and Algorithms (7 papers), Advanced Neural Network Applications (6 papers) and Anomaly Detection Techniques and Applications (6 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (364 citations), Computer Networks and Communications (658 citations) and Medical Laboratory Technology (30 citations). Muhammad Intizar Ali has collaborated with scholars based in Ireland, United Kingdom and Germany. Frequent co-authors include John G. Breslin, Pankesh Patel, Radhya Sahal, Feng Gao, Amit Sheth, Bharath Sudharsan, Andreas Kamilaris, Francesc X. Prenafeta‐Boldú, Alessandra Mileo and Muhammad Yahya.
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.