Rashedur M. Rahman
- Artificial Intelligence top 2%
- Information Systems top 1%
- Computer Networks and Communications top 2%
- Global and Planetary Change top 10%
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- Ken BarkerReda AlhajjMohammed Sarfaraz Gani AdnanNahian AhmedFarhana AfrozAshraf DewanBayes AhmedM.C. Fairhurst
- Topics
- Cloud Computing and Resource Management (20 papers)Distributed and Parallel Computing Systems (18 papers)Imbalanced Data Classification Techniques (16 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Signal ProcessingExpert Systems with Applications
- Partner nations
- BangladeshCanadaUnited States
In The Last Decade
Rashedur M. Rahman
174 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 153
- Artificial Intelligence 742
- Information Systems 625
- Computer Networks and Communications 582
- Global and Planetary Change 258
- Computer Vision and Pattern Recognition 241
Countries citing papers authored by Rashedur M. Rahman
This map shows the geographic impact of Rashedur M. 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 Rashedur M. Rahman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rashedur M. Rahman more than expected).
Fields of papers citing papers by Rashedur M. Rahman
This network shows the impact of papers produced by Rashedur M. 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 Rashedur M. Rahman. The network helps show where Rashedur M. Rahman may publish in the future.
Co-authorship network of co-authors of Rashedur M. Rahman
This figure shows the co-authorship network connecting the top 25 collaborators of Rashedur M. Rahman. A scholar is included among the top collaborators of Rashedur M. 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 Rashedur M. Rahman. Rashedur M. 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 | 5 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 24 | |
| 8 | 8 | |
| 9 | 12 | |
| 10 | 11 | |
| 11 | 29 | |
| 12 | 4 | |
| 13 | 3 | |
| 14 | 17 | |
| 15 | Readability of Bangla News Articles for Children | 2 |
| 16 | Incorporating Migration Control in VM Selection Strategies to Enhance Performance. | 5 |
| 17 | Text Readability Classification of Textbooks of a Low-Resource Language | 12 |
| 18 | 1 | |
| 19 | 3 | |
| 20 | Forecasting Stock Prices using Neural Networks on a Beowulf Cluster. | 2 |
About Rashedur M. Rahman
Rashedur M. Rahman is a scholar working on Information Systems, Artificial Intelligence and Media Technology, having authored 193 papers that have together received 2.3k indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (20 papers), Distributed and Parallel Computing Systems (18 papers) and Imbalanced Data Classification Techniques (16 papers). The work is most often cited by research in Health Information Management (138 citations), Information Systems (625 citations) and Computer Networks and Communications (582 citations). Rashedur M. Rahman has collaborated with scholars based in Bangladesh, Canada and United States. Frequent co-authors include Ken Barker, Reda Alhajj, Mohammed Sarfaraz Gani Adnan, Nahian Ahmed, Farhana Afroz, Ashraf Dewan, Bayes Ahmed, M.C. Fairhurst, Fuad Rahman and Salman Rahman. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Signal Processing and Expert Systems with Applications.
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.