Md Yeasin
Impact in
- Analytical Chemistry top 10%
- Heavy Metals in Plants
- Environmental Engineering top 10%
- Hydrological Forecasting Using AI
Papers in
-
- Rice Cultivation and Yield Improvement 7
- Soil Science 13
- Soil Carbon and Nitrogen Dynamics 8
- Co-authors
- Ranjit Kumar Paul (40 shared papers)A. K. Paul (13 shared papers)Tanmoy Karak (11 shared papers)Pramod Kumar (2 shared papers)Ajit Gupta (2 shared papers)Shamal Shasang Kumar (3 shared papers)Owais Ali Wani (3 shared papers)Jiban Saikia (7 shared papers)
- Journals
- PLoS ONE (3 papers)Current Science (3 papers)Environmental Monitoring and Assessment (2 papers)Frontiers in Plant Science (2 papers)Journal of Environmental Management (2 papers)
- Partner nations
- IndiaUnited StatesSaudi Arabia
In The Last Decade
Md Yeasin
61 papers receiving 406 citations
Peers
Comparison fields: 5 of 83
- Analytical Chemistry 56
- Environmental Engineering 76
- Soil Science 49
- Management Science and Operations Research 63
- Pollution 32
Countries citing papers authored by Md Yeasin
This map shows the geographic impact of Md Yeasin'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 Md Yeasin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Md Yeasin more than expected).
Fields of papers citing papers by Md Yeasin
This network shows the impact of papers produced by Md Yeasin. 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 Md Yeasin. The network helps show where Md Yeasin may publish in the future.
Co-authors
The 25 scholars most cited alongside Md Yeasin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 54 | |
| 2 | 2022 | 35 | |
| 3 | 2022 | 31 | |
| 4 | 2024 | 27 | |
| 5 | 2023 | 15 | |
| 6 | 2022 | 14 | |
| 7 | 2023 | 13 | |
| 8 | 2023 | 13 | |
| 9 | 2024 | 13 | |
| 10 | 2022 | 12 | |
| 11 | 2023 | 10 | |
| 12 | 2022 | 10 | |
| 13 | 2022 | 10 | |
| 14 | 2024 | 9 | |
| 15 | 2023 | 9 | |
| 16 | 2022 | 7 | |
| 17 | 2023 | 7 | |
| 18 | 2024 | 7 | |
| 19 | 2023 | 7 | |
| 20 | 2021 | 7 |
About Md Yeasin
Md Yeasin is a scholar working on Plant Science, Soil Science, Management Science and Operations Research, Analytical Chemistry and Environmental Engineering, having authored 79 papers that have together received 414 indexed citations. Recurring topics across this work include Stock Market Forecasting Methods (11 papers), Soil Carbon and Nitrogen Dynamics (8 papers), Spectroscopy and Chemometric Analyses (7 papers), Rice Cultivation and Yield Improvement (7 papers), Market Dynamics and Volatility (7 papers), Energy Load and Power Forecasting (7 papers), Agronomic Practices and Intercropping Systems (6 papers) and Heavy Metals in Plants (5 papers). The work is most often cited by research in Analytical Chemistry (56 citations), Environmental Engineering (76 citations), Soil Science (49 citations), Management Science and Operations Research (63 citations) and Pollution (32 citations). Md Yeasin has collaborated with scholars based in India, United States and Saudi Arabia. Frequent co-authors include Ranjit Kumar Paul, A. K. Paul, Tanmoy Karak, Pramod Kumar, Ajit Gupta, Shamal Shasang Kumar, Owais Ali Wani, Jiban Saikia, Jyotirekha G. Handique and Puja Khare. Their work appears in journals such as PLoS ONE, Current Science, Environmental Monitoring and Assessment, Frontiers in Plant Science and Journal of Environmental Management.
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.