Arifur Rahman
- Pollution top 2%
- Industrial and Manufacturing Engineering top 2%
- Biomaterials top 10%
- Biomedical Engineering
- Materials Chemistry
- Co-authors
- Atanu SarkarJaroslav Slobodnı́kOm Prakash YadavGopal AchariFahad HussainShibley RahmanMaisam NajafizadaMd Hamidul Huque
- Topics
- Computational Drug Discovery Methods (2 papers)Cholinesterase and Neurodegenerative Diseases (2 papers)Synthesis and Characterization of Heterocyclic Compounds (1 paper)
- Journals
- The Science of The Total EnvironmentAmerican Journal of Public HealthHealth Policy and Planning
- Partner nations
- BangladeshCanadaUnited States
In The Last Decade
Arifur Rahman
9 papers receiving 650 citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Pollution 484
- Industrial and Manufacturing Engineering 353
- Biomaterials 107
- Biomedical Engineering 83
- Materials Chemistry 80
Countries citing papers authored by Arifur Rahman
This map shows the geographic impact of Arifur 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 Arifur Rahman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arifur Rahman more than expected).
Fields of papers citing papers by Arifur Rahman
This network shows the impact of papers produced by Arifur 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 Arifur Rahman. The network helps show where Arifur Rahman may publish in the future.
Co-authorship network of co-authors of Arifur Rahman
This figure shows the co-authorship network connecting the top 25 collaborators of Arifur Rahman. A scholar is included among the top collaborators of Arifur 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 Arifur Rahman. Arifur 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 | 1 | |
| 2 | 1 | |
| 3 | 10 | |
| 4 | 24 | |
| 5 | 17 | |
| 6 | Potential human health risks due to environmental exposure to nano- and microplastics and knowledge gaps: A scoping reviewbreakdown → | 527 |
| 7 | 9 | |
| 8 | 48 | |
| 9 | 26 |
About Arifur Rahman
Arifur Rahman is a scholar working on Modeling and Simulation, Pharmacology and Computational Theory and Mathematics, having authored 9 papers that have together received 663 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (2 papers), Cholinesterase and Neurodegenerative Diseases (2 papers) and Synthesis and Characterization of Heterocyclic Compounds (1 paper). The work is most often cited by research in Pollution (484 citations), Industrial and Manufacturing Engineering (353 citations) and Biomaterials (107 citations). Arifur Rahman has collaborated with scholars based in Bangladesh, Canada and United States. Frequent co-authors include Atanu Sarkar, Jaroslav Slobodnı́k, Om Prakash Yadav, Gopal Achari, Fahad Hussain, Shibley Rahman, Maisam Najafizada, Md Hamidul Huque, Jennifer Bryce and Khadija Begum. Their work appears in journals such as The Science of The Total Environment, American Journal of Public Health and Health Policy and Planning.
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.