Muhammad Umair
Impact in
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- IoT and Edge/Fog Computing
- Caching and Content Delivery
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- COVID-19 epidemiological studies
Papers in
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- Smart Grid Energy Management 5
- Green IT and Sustainability 2
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- Context-Aware Activity Recognition Systems 2
- Co-authors
- Ghalib A. Shah (4 shared papers)Bilal Afzal (3 shared papers)Ejaz Ahmed (1 shared paper)Muhammad Aamir Cheema (3 shared papers)Muhammad Usman (1 shared paper)Ali Hussain Kazim (1 shared paper)Muhammad Farooq (1 shared paper)Jafar Hussain (2 shared papers)
- Journals
- ACM Transactions on the Web (1 paper)Chaos Solitons & Fractals (1 paper)Future Generation Computer Systems (1 paper)Neurology (1 paper)Sustainable Computing Informatics and Systems (1 paper)
- Partner nations
- PakistanAustraliaUnited States
In The Last Decade
Muhammad Umair
15 papers receiving 207 citations
Peers
Comparison fields: 5 of 68
- Computer Networks and Communications 89
- Modeling and Simulation 13
- Information Systems 43
- Fluid Flow and Transfer Processes 11
- Energy Engineering and Power Technology 5
Countries citing papers authored by Muhammad Umair
This map shows the geographic impact of Muhammad Umair'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 Umair with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Umair more than expected).
Fields of papers citing papers by Muhammad Umair
This network shows the impact of papers produced by Muhammad Umair. 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 Umair. The network helps show where Muhammad Umair may publish in the future.
Co-authors
The 19 scholars most cited alongside Muhammad Umair, 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 | 2017 | 116 | |
| 2 | 2021 | 26 | |
| 3 | 2021 | 19 | |
| 4 | 2023 | 19 | |
| 5 | 2018 | 9 | |
| 6 | 2018 | 5 | |
| 7 | 2020 | 4 | |
| 8 | 2022 | 2 | |
| 9 | 2024 | 2 | |
| 10 | 2020 | 2 | |
| 11 | 2023 | 2 | |
| 12 | 2020 | 2 | |
| 13 | 2021 | 1 | |
| 14 | 2025 | 1 | |
| 15 | 2018 | 1 | |
| 16 | 2025 | 0 |
About Muhammad Umair
Muhammad Umair is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Control and Systems Engineering, Sociology and Political Science and Information Systems, having authored 16 papers that have together received 211 indexed citations. Recurring topics across this work include Smart Grid Energy Management (5 papers), Microgrid Control and Optimization (3 papers), Green IT and Sustainability (2 papers), Context-Aware Activity Recognition Systems (2 papers), Spam and Phishing Detection (2 papers), Misinformation and Its Impacts (2 papers), Vehicle emissions and performance (1 paper) and COVID-19 epidemiological studies (1 paper). The work is most often cited by research in Computer Networks and Communications (89 citations), Modeling and Simulation (13 citations), Information Systems (43 citations), Fluid Flow and Transfer Processes (11 citations) and Energy Engineering and Power Technology (5 citations). Muhammad Umair has collaborated with scholars based in Pakistan, Australia and United States. Frequent co-authors include Ghalib A. Shah, Bilal Afzal, Ejaz Ahmed, Muhammad Aamir Cheema, Muhammad Usman, Ali Hussain Kazim, Muhammad Farooq, Jafar Hussain, Muhammad Asim and Faizan Dastgeer. Their work appears in journals such as ACM Transactions on the Web, Chaos Solitons & Fractals, Future Generation Computer Systems, Neurology and Sustainable Computing Informatics and 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.