Abdur Rahim Mohammad Forkan
- Computer Vision and Pattern Recognition top 5%
- Computer Networks and Communications top 5%
- Artificial Intelligence top 5%
- Biomedical Engineering
- Information Systems top 5%
- Co-authors
- Ibrahim KhalilZahir TariPrem Prakash JayaramanAhsan MorshedYong‐Bin KangSebti FoufouAbdelaziz BourasMohammed Atiquzzaman
- Topics
- Context-Aware Activity Recognition Systems (9 papers)IoT and Edge/Fog Computing (7 papers)Time Series Analysis and Forecasting (6 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
- Computer Vision and Pattern Recognition 284
- Computer Networks and Communications 272
- Artificial Intelligence 215
- Biomedical Engineering 128
- Information Systems 127
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 of co-authors of Abdur Rahim Mohammad Forkan
This figure shows the co-authorship network connecting the top 25 collaborators of Abdur Rahim Mohammad Forkan. A scholar is included among the top collaborators of Abdur Rahim Mohammad Forkan 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 Abdur Rahim Mohammad Forkan. Abdur Rahim Mohammad Forkan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 6 | |
| 4 | 8 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 45 | |
| 10 | 0 | |
| 11 | 2 | |
| 12 | 2 | |
| 13 | 9 | |
| 14 | 8 | |
| 15 | 3 | |
| 16 | 4 | |
| 17 | 7 | |
| 18 | 5 | |
| 19 | 28 | |
| 20 | Context-aware cardiac monitoring for early detection of heart diseases | 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) and Time Series Analysis and Forecasting (6 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 Journal of Hazardous Materials, Expert Systems with Applications and IEEE Communications Magazine.
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.