Md. Abdur Rahman
- Computer Networks and Communications top 1%
- Information Systems top 0.5%
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 2%
- Electrical and Electronic Engineering top 10%
- Co-authors
- M. Shamim HossainNabil AlrajehGhulam MuhammadElham HassanainAbdulmotaleb El SaddikMohammed F. AlhamidWail GueaiebMd. Mamunur Rashid
- Topics
- IoT and Edge/Fog Computing (26 papers)Context-Aware Activity Recognition Systems (25 papers)Hand Gesture Recognition Systems (16 papers)
- Partner nations
- Saudi ArabiaCanadaBangladesh
In The Last Decade
Md. Abdur Rahman
133 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 134
- Computer Networks and Communications 1.1k
- Information Systems 831
- Artificial Intelligence 704
- Computer Vision and Pattern Recognition 466
- Electrical and Electronic Engineering 391
Countries citing papers authored by Md. Abdur Rahman
This map shows the geographic impact of Md. Abdur Rahman'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 Md. Abdur Rahman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Md. Abdur Rahman more than expected).
Fields of papers citing papers by Md. Abdur Rahman
This network shows the impact of papers produced by Md. Abdur Rahman. 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 Md. Abdur Rahman. The network helps show where Md. Abdur Rahman may publish in the future.
Co-authorship network of co-authors of Md. Abdur Rahman
This figure shows the co-authorship network connecting the top 25 collaborators of Md. Abdur Rahman. A scholar is included among the top collaborators of Md. Abdur Rahman 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 Md. Abdur Rahman. Md. Abdur Rahman 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 | 4 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 8 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 6 | |
| 10 | 1 | |
| 11 | 7 | |
| 12 | 1 | |
| 13 | 10 | |
| 14 | 53 | |
| 15 | 3 | |
| 16 | Web service based collaborative e-learning environment for engineering education | 1 |
| 17 | Emotion-Based System for Social Media Content Processing and Event Monitoring | 1 |
| 18 | [ポスター展示] Design and Implementation of a Cognitive Radio Based Emergency Sensor Network in Disaster Area | 4 |
| 19 | 15 | |
| 20 | Gamma ray and hadron generated Cverenkov photon spectra at various observation altitudes | 1 |
About Md. Abdur Rahman
Md. Abdur Rahman is a scholar working on Human-Computer Interaction, Computer Networks and Communications and Health Informatics, having authored 149 papers that have together received 2.7k indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (26 papers), Context-Aware Activity Recognition Systems (25 papers) and Hand Gesture Recognition Systems (16 papers). The work is most often cited by research in Health Informatics (110 citations), Computer Networks and Communications (1.1k citations) and Information Systems (831 citations). Md. Abdur Rahman has collaborated with scholars based in Saudi Arabia, Canada and Bangladesh. Frequent co-authors include M. Shamim Hossain, Nabil Alrajeh, Ghulam Muhammad, Elham Hassanain, Abdulmotaleb El Saddik, M. Shamim Hossain, Mohammed F. Alhamid, Wail Gueaieb, Md. Mamunur Rashid and Mohsen Guizani. Their work appears in journals such as PLoS ONE, Analytical Biochemistry and IEEE Access.
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.