Muhammad Akhter
Impact in
- Water Science and Technology top 10%
- Water Quality Monitoring Technologies
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- Smart Agriculture and AI
- Leaf Properties and Growth Measurement
- Genetics and Plant Breeding
Papers in
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- Water Quality Monitoring Technologies 8
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- Fish Ecology and Management Studies 5
- Co-authors
- Daoliang Li (8 shared papers)Guangxu Wang (6 shared papers)Xiang Li (1 shared paper)Zhaoyang Song (1 shared paper)Cheng Li (1 shared paper)Guanghui Yu (1 shared paper)Ling Du (1 shared paper)Chang Liu (1 shared paper)
- Journals
- Animals (2 papers)Computers and Electronics in Agriculture (2 papers)Frontiers in Bioengineering and Biotechnology (1 paper)Reviews in Aquaculture (1 paper)Engineering Applications of Artificial Intelligence (1 paper)
- Partner nations
- ChinaPakistanUnited States
In The Last Decade
Muhammad Akhter
10 papers receiving 260 citations
Peers
Comparison fields: 5 of 59
- Water Science and Technology 107
- Plant Science 113
- Industrial and Manufacturing Engineering 21
- Nature and Landscape Conservation 27
- Ecology 56
Countries citing papers authored by Muhammad Akhter
This map shows the geographic impact of Muhammad Akhter'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 Akhter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Akhter more than expected).
Fields of papers citing papers by Muhammad Akhter
This network shows the impact of papers produced by Muhammad Akhter. 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 Akhter. The network helps show where Muhammad Akhter may publish in the future.
Co-authors
The 25 scholars most cited alongside Muhammad Akhter, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 114 | |
| 2 | 2021 | 52 | |
| 3 | 2023 | 20 | |
| 4 | 2024 | 18 | |
| 5 | 2022 | 15 | |
| 6 | 2024 | 13 | |
| 7 | 2024 | 13 | |
| 8 | 2018 | 11 | |
| 9 | 2024 | 9 | |
| 10 | 2025 | 4 |
About Muhammad Akhter
Muhammad Akhter is a scholar working on Water Science and Technology, Nature and Landscape Conservation, Industrial and Manufacturing Engineering, Plant Science and Aquatic Science, having authored 10 papers that have together received 269 indexed citations. Recurring topics across this work include Water Quality Monitoring Technologies (8 papers), Fish Ecology and Management Studies (5 papers), Water Quality Monitoring and Analysis (3 papers), Smart Agriculture and AI (3 papers), Aquaculture disease management and microbiota (1 paper), Fish Biology and Ecology Studies (1 paper), Species Distribution and Climate Change (1 paper) and Marine and fisheries research (1 paper). The work is most often cited by research in Water Science and Technology (107 citations), Plant Science (113 citations), Industrial and Manufacturing Engineering (21 citations), Nature and Landscape Conservation (27 citations) and Ecology (56 citations). Muhammad Akhter has collaborated with scholars based in China, Pakistan and United States. Frequent co-authors include Daoliang Li, Guangxu Wang, Xiang Li, Zhaoyang Song, Cheng Li, Guanghui Yu, Ling Du, Chang Liu, Wenkai Xu and Zhuangzhuang Du. Their work appears in journals such as Animals, Computers and Electronics in Agriculture, Frontiers in Bioengineering and Biotechnology, Reviews in Aquaculture and Engineering Applications of Artificial Intelligence.
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.