Muhammad Shahedul Alam
- Co-authors
- M. Akhlasur RahmanRakesh Kumar SinghUjjal Kumar NathMichael FreiLutfur RahmanThomas GaiserLin‐Bo WuFrank Ewert
- Topics
- Plant responses to elevated CO2 (7 papers)Atmospheric chemistry and aerosols (6 papers)Rice Cultivation and Yield Improvement (4 papers)
- Partner nations
- GermanyBangladeshPhilippines
In The Last Decade
Muhammad Shahedul Alam
14 papers receiving 250 citations
Peers
Comparison fields: 5 of 41
- Plant Science 260
- Genetics 97
- Atmospheric Science 46
- Agronomy and Crop Science 20
- Molecular Biology 19
Countries citing papers authored by Muhammad Shahedul Alam
This map shows the geographic impact of Muhammad Shahedul Alam'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 Shahedul Alam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Shahedul Alam more than expected).
Fields of papers citing papers by Muhammad Shahedul Alam
This network shows the impact of papers produced by Muhammad Shahedul Alam. 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 Shahedul Alam. The network helps show where Muhammad Shahedul Alam may publish in the future.
Co-authorship network of co-authors of Muhammad Shahedul Alam
This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Shahedul Alam. A scholar is included among the top collaborators of Muhammad Shahedul Alam 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 Shahedul Alam. Muhammad Shahedul Alam 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 | 5 | |
| 3 | 25 | |
| 4 | 2 | |
| 5 | 9 | |
| 6 | 19 | |
| 7 | 10 | |
| 8 | 32 | |
| 9 | Evaluation of Habitual Rice (Oryza sativa L.) Landraces of Bangladesh through Different Genetic Parameters | 4 |
| 10 | 4 | |
| 11 | Study of Correlation, Magnitude of Genetic Diversity and Selection Indices in Popular Rice ( Oryza sativa L.) Landraces of Bangladesh | 3 |
| 12 | 102 | |
| 13 | DNA fingerprinting of rice ( Oryza sativa L.) cultivars using microsatellite markers | 32 |
| 14 | 25 | |
| 15 | 10 |
About Muhammad Shahedul Alam
Muhammad Shahedul Alam is a scholar working on Plant Science, Atmospheric Science and General Agricultural and Biological Sciences, having authored 15 papers that have together received 282 indexed citations. Recurring topics across this work include Plant responses to elevated CO2 (7 papers), Atmospheric chemistry and aerosols (6 papers) and Rice Cultivation and Yield Improvement (4 papers). The work is most often cited by research in Plant Science (260 citations), Genetics (97 citations) and Atmospheric Science (46 citations). Muhammad Shahedul Alam has collaborated with scholars based in Germany, Bangladesh and Philippines. Frequent co-authors include M. Akhlasur Rahman, Rakesh Kumar Singh, Ujjal Kumar Nath, Michael Frei, Lutfur Rahman, Thomas Gaiser, Lin‐Bo Wu, Frank Ewert, Hasina Begum and Mohammad Kamruzzaman. Their work appears in journals such as Environmental Pollution, Global Change Biology and Plant Cell & Environment.
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.