Muhammad Aminul Islam
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Management Science and Operations Research top 10%
- Civil and Structural Engineering
- Statistics and Probability top 10%
- Co-authors
- Derek T. AndersonTimothy C. HavensAnthony J. PinarDinh Quang TruongKyoung Kwan AhnGrant J. ScottJames M. KellerJohn E. Ball
- Topics
- Multi-Criteria Decision Making (11 papers)Bayesian Modeling and Causal Inference (4 papers)Fuzzy Systems and Optimization (4 papers)
- Partner nations
- United StatesAustraliaSouth Korea
In The Last Decade
Muhammad Aminul Islam
25 papers receiving 308 citations
Peers
Comparison fields: 5 of 81
- Artificial Intelligence 114
- Computer Vision and Pattern Recognition 67
- Management Science and Operations Research 61
- Civil and Structural Engineering 47
- Statistics and Probability 38
Countries citing papers authored by Muhammad Aminul Islam
This map shows the geographic impact of Muhammad Aminul 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 Muhammad Aminul Islam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Aminul Islam more than expected).
Fields of papers citing papers by Muhammad Aminul Islam
This network shows the impact of papers produced by Muhammad Aminul 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 Muhammad Aminul Islam. The network helps show where Muhammad Aminul Islam may publish in the future.
Co-authorship network of co-authors of Muhammad Aminul Islam
This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Aminul Islam. A scholar is included among the top collaborators of Muhammad Aminul 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 Muhammad Aminul Islam. Muhammad Aminul 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 | 0 | |
| 2 | 3 | |
| 3 | 21 | |
| 4 | 4 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 51 | |
| 8 | 47 | |
| 9 | 11 | |
| 10 | 0 | |
| 11 | 4 | |
| 12 | 11 | |
| 13 | 1 | |
| 14 | 32 | |
| 15 | 7 | |
| 16 | 10 | |
| 17 | 1 | |
| 18 | 3 | |
| 19 | 3 | |
| 20 | 27 |
About Muhammad Aminul Islam
Muhammad Aminul Islam is a scholar working on Management Science and Operations Research, Media Technology and Statistics and Probability, having authored 27 papers that have together received 315 indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (11 papers), Bayesian Modeling and Causal Inference (4 papers) and Fuzzy Systems and Optimization (4 papers). The work is most often cited by research in Endocrinology (26 citations), Management Science and Operations Research (61 citations) and Statistics and Probability (38 citations). Muhammad Aminul Islam has collaborated with scholars based in United States, Australia and South Korea. Frequent co-authors include Derek T. Anderson, Timothy C. Havens, Anthony J. Pinar, Dinh Quang Truong, Kyoung Kwan Ahn, Grant J. Scott, James M. Keller, John E. Ball, Bo Tang and Daniel W. Carruth. Their work appears in journals such as Sensors, IEEE Transactions on Fuzzy Systems and International Journal of Intelligent Systems.
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.