Mohammad Saifur Rahman
- Molecular Biology
- Computational Theory and Mathematics top 10%
- Artificial Intelligence
- Electrical and Electronic Engineering
- Materials Chemistry
- Co-authors
- M. Sohel RahmanM. KaykobadSanjay SahaSwakkhar ShatabdaMd. Shamsuzzoha BayzidMd. Khaledur RahmanMamun Bin Ibne ReazNabil Ibtehaz
- Topics
- Machine Learning in Bioinformatics (11 papers)RNA and protein synthesis mechanisms (10 papers)Genomics and Phylogenetic Studies (9 papers)
- Partner nations
- BangladeshUnited StatesQatar
In The Last Decade
Mohammad Saifur Rahman
41 papers receiving 508 citations
Peers
Comparison fields: 5 of 104
- Molecular Biology 295
- Computational Theory and Mathematics 56
- Artificial Intelligence 55
- Electrical and Electronic Engineering 50
- Materials Chemistry 27
Countries citing papers authored by Mohammad Saifur Rahman
This map shows the geographic impact of Mohammad Saifur 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 Mohammad Saifur Rahman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad Saifur Rahman more than expected).
Fields of papers citing papers by Mohammad Saifur Rahman
This network shows the impact of papers produced by Mohammad Saifur 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 Mohammad Saifur Rahman. The network helps show where Mohammad Saifur Rahman may publish in the future.
Co-authorship network of co-authors of Mohammad Saifur Rahman
This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Saifur Rahman. A scholar is included among the top collaborators of Mohammad Saifur 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 Mohammad Saifur Rahman. Mohammad Saifur 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 | 0 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 18 | |
| 6 | 6 | |
| 7 | 4 | |
| 8 | 4 | |
| 9 | 6 | |
| 10 | 1 | |
| 11 | 19 | |
| 12 | 11 | |
| 13 | 57 | |
| 14 | 12 | |
| 15 | 123 | |
| 16 | 41 | |
| 17 | 1 | |
| 18 | 12 | |
| 19 | Antigenic detection of feline panleukopenia virus in local breed cats at Tangail district in Bangladesh | 6 |
| 20 | 1 |
About Mohammad Saifur Rahman
Mohammad Saifur Rahman is a scholar working on Computer Graphics and Computer-Aided Design, Human Factors and Ergonomics and Molecular Biology, having authored 46 papers that have together received 520 indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (11 papers), RNA and protein synthesis mechanisms (10 papers) and Genomics and Phylogenetic Studies (9 papers). The work is most often cited by research in Molecular Biology (295 citations), Business and International Management (8 citations) and Computational Theory and Mathematics (56 citations). Mohammad Saifur Rahman has collaborated with scholars based in Bangladesh, United States and Qatar. Frequent co-authors include M. Sohel Rahman, M. Kaykobad, Sanjay Saha, Swakkhar Shatabda, Md. Shamsuzzoha Bayzid, Md. Khaledur Rahman, Mamun Bin Ibne Reaz, Nabil Ibtehaz, Mohd Alauddin Mohd Ali and Mohammad Marufuzzaman. Their work appears in journals such as Environmental Science & Technology, Bioinformatics and PLoS ONE.
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.