Raihan Ul Islam
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Computer Networks and Communications top 10%
- Human-Computer Interaction top 5%
- Electrical and Electronic Engineering
- Co-authors
- Karl AnderssonMohammad Shahadat HossainMd. Zahirul IslamSazzad HossainNanziba BasninTanjim MahmudFaisal AhmedAh-Lian Kor
- Topics
- Flood Risk Assessment and Management (5 papers)Hydrological Forecasting Using AI (4 papers)IoT and Edge/Fog Computing (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsIEEE Access
- Partner nations
- BangladeshSwedenUnited Kingdom
In The Last Decade
Raihan Ul Islam
37 papers receiving 462 citations
Peers
Comparison fields: 5 of 85
- Artificial Intelligence 158
- Computer Vision and Pattern Recognition 143
- Computer Networks and Communications 99
- Human-Computer Interaction 75
- Electrical and Electronic Engineering 52
Countries citing papers authored by Raihan Ul Islam
This map shows the geographic impact of Raihan Ul Islam'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 Raihan Ul Islam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raihan Ul Islam more than expected).
Fields of papers citing papers by Raihan Ul Islam
This network shows the impact of papers produced by Raihan Ul Islam. 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 Raihan Ul Islam. The network helps show where Raihan Ul Islam may publish in the future.
Co-authorship network of co-authors of Raihan Ul Islam
This figure shows the co-authorship network connecting the top 25 collaborators of Raihan Ul Islam. A scholar is included among the top collaborators of Raihan Ul Islam 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 Raihan Ul Islam. Raihan Ul Islam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 9 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 10 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 1 | |
| 10 | 10 | |
| 11 | 12 | |
| 12 | 2 | |
| 13 | 2 | |
| 14 | 14 | |
| 15 | 29 | |
| 16 | 8 | |
| 17 | 8 | |
| 18 | 20 | |
| 19 | 33 | |
| 20 | 1 |
About Raihan Ul Islam
Raihan Ul Islam is a scholar working on Computer Networks and Communications, Environmental Engineering and Computer Vision and Pattern Recognition, having authored 42 papers that have together received 493 indexed citations. Recurring topics across this work include Flood Risk Assessment and Management (5 papers), Hydrological Forecasting Using AI (4 papers) and IoT and Edge/Fog Computing (4 papers). The work is most often cited by research in Human-Computer Interaction (75 citations), Computer Vision and Pattern Recognition (143 citations) and Artificial Intelligence (158 citations). Raihan Ul Islam has collaborated with scholars based in Bangladesh, Sweden and United Kingdom. Frequent co-authors include Karl Andersson, Mohammad Shahadat Hossain, Md. Zahirul Islam, Sazzad Hossain, Nanziba Basnin, Tanjim Mahmud, Faisal Ahmed, Ah-Lian Kor, Ahmed Afif Monrat and Mischa Schmidt. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications 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.