Mahbuba Afrin
- Computer Networks and Communications top 5%
- Information Systems top 10%
- Artificial Intelligence
- Electrical and Electronic Engineering
- Control and Systems Engineering top 10%
- Co-authors
- Jiong JinAshfaqur RahmanYu‐Chu TianRedowan MahmudAmbarish KulkarniAkhlaqur RahmanEkram HossainJiafu Wan
- Topics
- IoT and Edge/Fog Computing (8 papers)Robotics and Automated Systems (4 papers)Digital Transformation in Industry (3 papers)
- Cited by
- Computer Networks and CommunicationsIndustrial and Manufacturing EngineeringInformation Systems
- Partner nations
- AustraliaBangladeshSaudi Arabia
In The Last Decade
Mahbuba Afrin
17 papers receiving 387 citations
Peers
Comparison fields: 5 of 64
- Computer Networks and Communications 222
- Information Systems 89
- Artificial Intelligence 73
- Electrical and Electronic Engineering 66
- Control and Systems Engineering 65
Countries citing papers authored by Mahbuba Afrin
This map shows the geographic impact of Mahbuba Afrin'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 Mahbuba Afrin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mahbuba Afrin more than expected).
Fields of papers citing papers by Mahbuba Afrin
This network shows the impact of papers produced by Mahbuba Afrin. 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 Mahbuba Afrin. The network helps show where Mahbuba Afrin may publish in the future.
Co-authorship network of co-authors of Mahbuba Afrin
This figure shows the co-authorship network connecting the top 25 collaborators of Mahbuba Afrin. A scholar is included among the top collaborators of Mahbuba Afrin 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 Mahbuba Afrin. Mahbuba Afrin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 16 | |
| 7 | 34 | |
| 8 | 25 | |
| 9 | 94 | |
| 10 | 25 | |
| 11 | 92 | |
| 12 | 1 | |
| 13 | 4 | |
| 14 | 14 | |
| 15 | 30 | |
| 16 | 25 | |
| 17 | 31 |
About Mahbuba Afrin
Mahbuba Afrin is a scholar working on Computer Networks and Communications, Industrial and Manufacturing Engineering and Information Systems, having authored 17 papers that have together received 404 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (8 papers), Robotics and Automated Systems (4 papers) and Digital Transformation in Industry (3 papers). The work is most often cited by research in Computer Networks and Communications (222 citations), Industrial and Manufacturing Engineering (55 citations) and Information Systems (89 citations). Mahbuba Afrin has collaborated with scholars based in Australia, Bangladesh and Saudi Arabia. Frequent co-authors include Jiong Jin, Ashfaqur Rahman, Yu‐Chu Tian, Redowan Mahmud, Ambarish Kulkarni, Akhlaqur Rahman, Ekram Hossain, Jiafu Wan, Md. Abdur Razzaque and Aneesh Krishna. Their work appears in journals such as IEEE Communications Surveys & Tutorials, Sustainability and IEEE Internet of Things Journal.
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.