Abdur Rahim Mohammad Forkan
- Health Informatics top 2%
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- Context-Aware Activity Recognition Systems 9
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- IoT and Edge/Fog Computing 7
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- Digital Transformation in Industry 4
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- Time Series Analysis and Forecasting 6
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- Mobile Health and mHealth Applications 6
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- ECG Monitoring and Analysis 5
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- Digital Mental Health Interventions 4
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- Blockchain Technology Applications and Security 4
- Co-authors
- Ibrahim KhalilZahir TariPrem Prakash JayaramanAhsan MorshedYong‐Bin KangSebti FoufouAbdelaziz BourasMohammed Atiquzzaman
- Journals
- Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2 papers)Sensors (2 papers)Computer Methods and Programs in Biomedicine (2 papers)
- Partner nations
- AustraliaUnited KingdomItaly
In The Last Decade
Abdur Rahim Mohammad Forkan
46 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 141
- Health Informatics 56
- Health Information Management 118
- Computer Vision and Pattern Recognition 284
- Computer Networks and Communications 272
- Industrial and Manufacturing Engineering 107
Countries citing papers authored by Abdur Rahim Mohammad Forkan
This map shows the geographic impact of Abdur Rahim Mohammad Forkan'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 Abdur Rahim Mohammad Forkan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abdur Rahim Mohammad Forkan more than expected).
Fields of papers citing papers by Abdur Rahim Mohammad Forkan
This network shows the impact of papers produced by Abdur Rahim Mohammad Forkan. 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 Abdur Rahim Mohammad Forkan. The network helps show where Abdur Rahim Mohammad Forkan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Abdur Rahim Mohammad Forkan, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 6 | |
| 4 | 2024 | 8 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 0 | |
| 9 | 2023 | 45 | |
| 10 | 2023 | 0 | |
| 11 | 2023 | 2 | |
| 12 | 2023 | 2 | |
| 13 | 2022 | 9 | |
| 14 | 2022 | 8 | |
| 15 | 2020 | 3 | |
| 16 | 2019 | 4 | |
| 17 | 2019 | 7 | |
| 18 | 2019 | 5 | |
| 19 | 2016 | 28 | |
| 20 | Context-aware cardiac monitoring for early detection of heart diseases | 2013 | 13 |
About Abdur Rahim Mohammad Forkan
Abdur Rahim Mohammad Forkan is a scholar working on Family Practice, Applied Psychology and Health Informatics, having authored 51 papers that have together received 1.1k indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (9 papers), IoT and Edge/Fog Computing (7 papers), Time Series Analysis and Forecasting (6 papers), Mobile Health and mHealth Applications (6 papers), ECG Monitoring and Analysis (5 papers), Digital Mental Health Interventions (4 papers), Blockchain Technology Applications and Security (4 papers) and Digital Transformation in Industry (4 papers). The work is most often cited by research in Health Informatics (56 citations), Health Information Management (118 citations) and Computer Vision and Pattern Recognition (284 citations). Abdur Rahim Mohammad Forkan has collaborated with scholars based in Australia, United Kingdom and Italy. Frequent co-authors include Ibrahim Khalil, Zahir Tari, Prem Prakash Jayaraman, Ahsan Morshed, Yong‐Bin Kang, Sebti Foufou, Abdelaziz Bouras, Mohammed Atiquzzaman, Nilmini Wickramasinghe and Pari Delir Haghighi. Their work appears in journals such as Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery, Sensors, Computer Methods and Programs in Biomedicine, Expert Systems with Applications and IEEE Transactions on Services Computing.
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.