Rahatara Ferdousi

520 total citations
14 papers, 152 citations indexed

About

Rahatara Ferdousi is a scholar working on Industrial and Manufacturing Engineering, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Rahatara Ferdousi has authored 14 papers receiving a total of 152 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Industrial and Manufacturing Engineering, 3 papers in Computer Networks and Communications and 3 papers in Information Systems. Recurrent topics in Rahatara Ferdousi's work include Digital Transformation in Industry (5 papers), IoT and Edge/Fog Computing (3 papers) and Biomedical and Engineering Education (2 papers). Rahatara Ferdousi is often cited by papers focused on Digital Transformation in Industry (5 papers), IoT and Edge/Fog Computing (3 papers) and Biomedical and Engineering Education (2 papers). Rahatara Ferdousi collaborates with scholars based in Canada, United Arab Emirates and Saudi Arabia. Rahatara Ferdousi's co-authors include Abdulmotaleb El Saddik, M. Anwar Hossain, Chunsheng Yang, Fedwa Laamarti, Mohammed F. Alhamid, M. Anwar Hossain, SK Alamgir Hossain, Min Liao, Zheng Liu and Kazi Masudul Alam and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Journal of Parallel and Distributed Computing.

In The Last Decade

Rahatara Ferdousi

14 papers receiving 141 citations

Peers

Rahatara Ferdousi
V. Asha India
Rahatara Ferdousi
Citations per year, relative to Rahatara Ferdousi Rahatara Ferdousi (= 1×) peers V. Asha

Countries citing papers authored by Rahatara Ferdousi

Since Specialization
Citations

This map shows the geographic impact of Rahatara Ferdousi'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 Rahatara Ferdousi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rahatara Ferdousi more than expected).

Fields of papers citing papers by Rahatara Ferdousi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rahatara Ferdousi. 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 Rahatara Ferdousi. The network helps show where Rahatara Ferdousi may publish in the future.

Co-authorship network of co-authors of Rahatara Ferdousi

This figure shows the co-authorship network connecting the top 25 collaborators of Rahatara Ferdousi. A scholar is included among the top collaborators of Rahatara Ferdousi 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 Rahatara Ferdousi. Rahatara Ferdousi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Ferdousi, Rahatara, Chunsheng Yang, M. Anwar Hossain, et al.. (2024). Generative Model-Driven Synthetic Training Image Generation: An Approach to Cognition in Railway Defect Detection. Cognitive Computation. 16(5). 1–16. 2 indexed citations
2.
Ferdousi, Rahatara, Fedwa Laamarti, Chunsheng Yang, & Abdulmotaleb El Saddik. (2024). A reusable AI-enabled defect detection system for railway using ensembled CNN. Applied Intelligence. 54(20). 9723–9740. 7 indexed citations
3.
Ferdousi, Rahatara, et al.. (2024). Exploring User Perceptions of Virtual Reality Scene Design in Metaverse Learning Environments. 1–6. 2 indexed citations
4.
Ferdousi, Rahatara, et al.. (2023). Digital Twin for Railway: A Comprehensive Survey. IEEE Access. 11. 120237–120257. 17 indexed citations
5.
Ferdousi, Rahatara, Fedwa Laamarti, M. Anwar Hossain, Chunsheng Yang, & Abdulmotaleb El Saddik. (2022). Digital twins for well-being: an overview. SHILAP Revista de lepidopterología. 2(3). 18 indexed citations
6.
Yang, Chunsheng, Rahatara Ferdousi, Abdulmotaleb El Saddik, et al.. (2022). Lifetime Learning-enabled Modelling Framework for Digital Twin. 2022 IEEE 18th International Conference on Automation Science and Engineering (CASE). 1761–1766. 7 indexed citations
7.
Ferdousi, Rahatara, Fedwa Laamarti, Chunsheng Yang, & Abdulmotaleb El Saddik. (2022). RailTwin: A Digital Twin Framework For Railway. 2022 IEEE 18th International Conference on Automation Science and Engineering (CASE). 1767–1772. 9 indexed citations
8.
Ferdousi, Rahatara, M. Anwar Hossain, & Abdulmotaleb El Saddik. (2021). Early-Stage Risk Prediction of Non-Communicable Disease Using Machine Learning in Health CPS. IEEE Access. 9. 96823–96837. 33 indexed citations
9.
Ferdousi, Rahatara, M. Anwar Hossain, & Abdulmotaleb El Saddik. (2021). IoT-enabled model for Digital Twin Of Mental Stress (DTMS). 1–6. 10 indexed citations
10.
Ferdousi, Rahatara, Fedwa Laamarti, M. Anwar Hossain, Chunsheng Yang, & Abdulmotaleb El Saddik. (2021). Digital twins for well-being: an overview. NPARC. 1. 7–7. 12 indexed citations
11.
Hossain, M. Anwar, Rahatara Ferdousi, SK Alamgir Hossain, Mohammed F. Alhamid, & Abdulmotaleb El Saddik. (2020). A Novel Framework for Recommending Data Mining Algorithm in Dynamic IoT Environment. IEEE Access. 8. 157333–157345. 9 indexed citations
12.
Hossain, M. Anwar, Rahatara Ferdousi, & Mohammed F. Alhamid. (2020). Knowledge-driven machine learning based framework for early-stage disease risk prediction in edge environment. Journal of Parallel and Distributed Computing. 146. 25–34. 18 indexed citations
13.
Ferdousi, Rahatara, et al.. (2019). LOAMY: a Cloud-based Middleware for CoAP-based IoT Service Discovery. 1–6. 4 indexed citations
14.

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.

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