Tahir Alyas
- Computer Networks and Communications top 5%
- Information Systems top 2%
- Artificial Intelligence top 5%
- Signal Processing top 10%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Nadia TabassumMuhammad Adnan KhanSagheer AbbasQaiser AbbasKhalid AlissaMuhammad HamidSaadia MalikAbdallah Namoun
- Topics
- IoT and Edge/Fog Computing (18 papers)Cloud Computing and Resource Management (18 papers)Blockchain Technology Applications and Security (9 papers)
- Journals
- Scientific ReportsIEEE AccessSensors
- Partner nations
- PakistanSaudi ArabiaUnited Arab Emirates
In The Last Decade
Tahir Alyas
57 papers receiving 678 citations
Peers
Comparison fields: 5 of 96
- Computer Networks and Communications 297
- Information Systems 296
- Artificial Intelligence 245
- Signal Processing 79
- Computer Vision and Pattern Recognition 76
Countries citing papers authored by Tahir Alyas
This map shows the geographic impact of Tahir Alyas'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 Tahir Alyas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tahir Alyas more than expected).
Fields of papers citing papers by Tahir Alyas
This network shows the impact of papers produced by Tahir Alyas. 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 Tahir Alyas. The network helps show where Tahir Alyas may publish in the future.
Co-authorship network of co-authors of Tahir Alyas
This figure shows the co-authorship network connecting the top 25 collaborators of Tahir Alyas. A scholar is included among the top collaborators of Tahir Alyas based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tahir Alyas. Tahir Alyas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 4 | |
| 9 | 1 | |
| 10 | 12 | |
| 11 | 11 | |
| 12 | 11 | |
| 13 | 3 | |
| 14 | 5 | |
| 15 | 2 | |
| 16 | 3 | |
| 17 | 4 | |
| 18 | 11 | |
| 19 | 6 | |
| 20 | Forecasting of Intellectual Capital by Measuring Innovation Using Adaptive Neuro-Fuzzy Inference System | 1 |
About Tahir Alyas
Tahir Alyas is a scholar working on Information Systems, Computer Networks and Communications and Health Information Management, having authored 63 papers that have together received 733 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (18 papers), Cloud Computing and Resource Management (18 papers) and Blockchain Technology Applications and Security (9 papers). The work is most often cited by research in Information Systems (296 citations), Computer Networks and Communications (297 citations) and Artificial Intelligence (245 citations). Tahir Alyas has collaborated with scholars based in Pakistan, Saudi Arabia and United Arab Emirates. Frequent co-authors include Nadia Tabassum, Muhammad Adnan Khan, Sagheer Abbas, Qaiser Abbas, Khalid Alissa, Muhammad Hamid, Saadia Malik, Abdallah Namoun, Ali Tufail and Shazia Saqib. Their work appears in journals such as Scientific Reports, IEEE Access and Sensors.
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.