A. Najah
Impact in
- Environmental Engineering top 2%
- Hydrological Forecasting Using AI
- Water Science and Technology top 2%
- Water Quality Monitoring Technologies
- Hydrology and Watershed Management Studies
- Water Quality and Pollution Assessment
Papers in
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- Hydrological Forecasting Using AI 11
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- Water Quality Monitoring Technologies 7
- Hydrology and Watershed Management Studies 1
- Co-authors
- Ahmed El‐Shafie (13 shared papers)Othman A. Karim (9 shared papers)Othman Jaafar (3 shared papers)Muhammad Mukhlisin (2 shared papers)Aini Hussain (1 shared paper)Mohd Raihan Taha (1 shared paper)Yuk Feng Huang (1 shared paper)Samsuri Abdullah (1 shared paper)
In The Last Decade
A. Najah
16 papers receiving 773 citations
Peers
Comparison fields: 5 of 83
- Environmental Engineering 565
- Water Science and Technology 469
- Industrial and Manufacturing Engineering 96
- Global and Planetary Change 175
- Ocean Engineering 71
Countries citing papers authored by A. Najah
This map shows the geographic impact of A. Najah'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 A. Najah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Najah more than expected).
Fields of papers citing papers by A. Najah
This network shows the impact of papers produced by A. Najah. 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 A. Najah. The network helps show where A. Najah may publish in the future.
Co-authors
The 15 scholars most cited alongside A. Najah, 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 | 2012 | 154 | |
| 2 | 2013 | 150 | |
| 3 | 2013 | 107 | |
| 4 | 2010 | 76 | |
| 5 | 2021 | 61 | |
| 6 | 2011 | 57 | |
| 7 | 2011 | 49 | |
| 8 | 2011 | 43 | |
| 9 | 2014 | 32 | |
| 10 | 2012 | 28 | |
| 11 | 2013 | 25 | |
| 12 | 2009 | 8 | |
| 13 | 2014 | 5 | |
| 14 | Prediction of Water Quality Parameters Using Artificial Intelligence: Case study- Johor River Basin | 2011 | 4 |
| 15 | 2025 | 1 | |
| 16 | 2011 | 1 |
About A. Najah
A. Najah is a scholar working on Environmental Engineering, Water Science and Technology, Artificial Intelligence, Global and Planetary Change and Civil and Structural Engineering, having authored 16 papers that have together received 801 indexed citations. Recurring topics across this work include Hydrological Forecasting Using AI (11 papers), Water Quality Monitoring Technologies (7 papers), Neural Networks and Applications (4 papers), Water Quality Monitoring and Analysis (2 papers), Plant Water Relations and Carbon Dynamics (2 papers), Hydrology and Sediment Transport Processes (2 papers), Hydrology and Watershed Management Studies (1 paper) and Inertial Sensor and Navigation (1 paper). The work is most often cited by research in Environmental Engineering (565 citations), Water Science and Technology (469 citations), Industrial and Manufacturing Engineering (96 citations), Global and Planetary Change (175 citations) and Ocean Engineering (71 citations). A. Najah has collaborated with scholars based in Malaysia, Libya and Australia. Frequent co-authors include Ahmed El‐Shafie, Othman A. Karim, Othman Jaafar, Muhammad Mukhlisin, Aini Hussain, Mohd Raihan Taha, Yuk Feng Huang, Samsuri Abdullah, Sarmad Dashti Latif and Marzuki Ismail. Their work appears in journals such as Neural Computing and Applications, Water Resources Management, International Journal of Environmental Science and Technology, Environmental Science and Pollution Research and Hydrology and earth system sciences.
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.