Muhammad Umar Aftab
Impact in
- Building and Construction top 5%
- Building Energy and Comfort Optimization
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- Network Security and Intrusion Detection
- IoT and Edge/Fog Computing
Papers in
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- Cryptography and Data Security 11
- Privacy-Preserving Technologies in Data 8
- Anomaly Detection Techniques and Applications 5
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- Cloud Data Security Solutions 7
- Blockchain Technology Applications and Security 6
- Co-authors
- Chi-Kin Chau (3 shared papers)Chien Chen (1 shared paper)Talal Rahwan (1 shared paper)Zakria Zakria (10 shared papers)Zhiguang Qin (11 shared papers)Ariyo Oluwasanmi (9 shared papers)Ngo Tung Son (9 shared papers)Muhammad Shahzad Sarfraz (8 shared papers)
In The Last Decade
Muhammad Umar Aftab
54 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 97
- Building and Construction 155
- Computer Networks and Communications 267
- Artificial Intelligence 349
- Computer Vision and Pattern Recognition 197
- Information Systems 177
Countries citing papers authored by Muhammad Umar Aftab
This map shows the geographic impact of Muhammad Umar Aftab'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 Umar Aftab with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Umar Aftab more than expected).
Fields of papers citing papers by Muhammad Umar Aftab
This network shows the impact of papers produced by Muhammad Umar Aftab. 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 Umar Aftab. The network helps show where Muhammad Umar Aftab may publish in the future.
Co-authors
The 25 scholars most cited alongside Muhammad Umar Aftab, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 152 | |
| 2 | 2021 | 85 | |
| 3 | 2019 | 70 | |
| 4 | 2021 | 65 | |
| 5 | 2016 | 59 | |
| 6 | 2023 | 54 | |
| 7 | 2014 | 42 | |
| 8 | 2020 | 36 | |
| 9 | 2021 | 35 | |
| 10 | 2019 | 28 | |
| 11 | 2015 | 27 | |
| 12 | 2019 | 25 | |
| 13 | 2021 | 24 | |
| 14 | 2019 | 22 | |
| 15 | 2021 | 19 | |
| 16 | 2018 | 19 | |
| 17 | 2018 | 19 | |
| 18 | 2021 | 16 | |
| 19 | 2015 | 15 | |
| 20 | 2021 | 14 |
About Muhammad Umar Aftab
Muhammad Umar Aftab is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Computer Networks and Communications and Sociology and Political Science, having authored 57 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cryptography and Data Security (11 papers), Access Control and Trust (8 papers), Privacy-Preserving Technologies in Data (8 papers), Video Surveillance and Tracking Methods (8 papers), Advanced Neural Network Applications (7 papers), Cloud Data Security Solutions (7 papers), Blockchain Technology Applications and Security (6 papers) and Anomaly Detection Techniques and Applications (5 papers). The work is most often cited by research in Building and Construction (155 citations), Computer Networks and Communications (267 citations), Artificial Intelligence (349 citations), Computer Vision and Pattern Recognition (197 citations) and Information Systems (177 citations). Muhammad Umar Aftab has collaborated with scholars based in Pakistan, China and Vietnam. Frequent co-authors include Chi-Kin Chau, Chien Chen, Talal Rahwan, Zakria Zakria, Zhiguang Qin, Ariyo Oluwasanmi, Ngo Tung Son, Muhammad Shahzad Sarfraz, Xuyun Nie and Muhammad Ahmad. Their work appears in journals such as IEEE Access, Sensors, IEEE Transactions on Industrial Informatics, Applied Sciences and Complexity.
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.