Muhammad Moshiur Rahman
- Plant Science top 5%
- Ecology top 5%
- Food Science top 5%
- Environmental Engineering top 5%
- Global and Planetary Change top 10%
- Co-authors
- Andrew RobsonAzharul KarimMd. Imran H. KhanMd MahiuddinDavid LambChandan KumarJasmine MuirNghia Duc Pham
- Topics
- Remote Sensing in Agriculture (21 papers)Leaf Properties and Growth Measurement (15 papers)Plant Water Relations and Carbon Dynamics (9 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Dairy ScienceCritical Reviews in Food Science and Nutrition
- Partner nations
- AustraliaBangladeshMalaysia
In The Last Decade
Muhammad Moshiur Rahman
47 papers receiving 997 citations
Peers
Comparison fields: 5 of 91
- Plant Science 371
- Ecology 338
- Food Science 328
- Environmental Engineering 158
- Global and Planetary Change 142
Countries citing papers authored by Muhammad Moshiur Rahman
This map shows the geographic impact of Muhammad Moshiur 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 Muhammad Moshiur Rahman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Moshiur Rahman more than expected).
Fields of papers citing papers by Muhammad Moshiur Rahman
This network shows the impact of papers produced by Muhammad Moshiur 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 Muhammad Moshiur Rahman. The network helps show where Muhammad Moshiur Rahman may publish in the future.
Co-authorship network of co-authors of Muhammad Moshiur Rahman
This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Moshiur Rahman. A scholar is included among the top collaborators of Muhammad Moshiur 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 Muhammad Moshiur Rahman. Muhammad Moshiur 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 | 2 | |
| 2 | 7 | |
| 3 | 18 | |
| 4 | 1 | |
| 5 | 21 | |
| 6 | 1 | |
| 7 | 61 | |
| 8 | 1 | |
| 9 | Evaluating remote sensing technologies for improved yield forecasting and for the measurement of foliar nitrogen concentration in sugarcane | 10 |
| 10 | 65 | |
| 11 | 73 | |
| 12 | 5 | |
| 13 | 16 | |
| 14 | 34 | |
| 15 | 13 | |
| 16 | 9 | |
| 17 | 3-D Non Linear Finite Element Modelling of Ground Vibrations Due to Tunnelling Activities | 1 |
| 18 | 51 | |
| 19 | 9 | |
| 20 | 5 |
About Muhammad Moshiur Rahman
Muhammad Moshiur Rahman is a scholar working on General Engineering, Ecology and Analytical Chemistry, having authored 48 papers that have together received 1.0k indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (21 papers), Leaf Properties and Growth Measurement (15 papers) and Plant Water Relations and Carbon Dynamics (9 papers). The work is most often cited by research in Food Science (328 citations), Ecology (338 citations) and Environmental Engineering (158 citations). Muhammad Moshiur Rahman has collaborated with scholars based in Australia, Bangladesh and Malaysia. Frequent co-authors include Andrew Robson, Azharul Karim, Md. Imran H. Khan, Md Mahiuddin, David Lamb, Chandan Kumar, Jasmine Muir, Nghia Duc Pham, Mohammad U. H. Joardder and Mila Bristow. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Dairy Science and Critical Reviews in Food Science and Nutrition.
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.