Murat Ay
Impact in
- Water Science and Technology top 5%
- Hydrology and Watershed Management Studies
- Water Quality Monitoring Technologies
- Water Quality and Pollution Assessment
- Environmental Engineering top 5%
- Hydrological Forecasting Using AI
Papers in
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- Hydrological Forecasting Using AI 9
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- Hydrology and Drought Analysis 9
- Climate variability and models 5
- Plant Water Relations and Carbon Dynamics 2
Murat Ay
20 papers receiving 693 citations
Peers
Comparison fields: 5 of 71
- Water Science and Technology 368
- Environmental Engineering 287
- Global and Planetary Change 360
- Industrial and Manufacturing Engineering 62
- Atmospheric Science 110
Countries citing papers authored by Murat Ay
This map shows the geographic impact of Murat Ay'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 Murat Ay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Murat Ay more than expected).
Fields of papers citing papers by Murat Ay
This network shows the impact of papers produced by Murat Ay. 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 Murat Ay. The network helps show where Murat Ay may publish in the future.
Co-authors
The 2 scholars most cited alongside Murat Ay, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 284 | |
| 2 | 2014 | 111 | |
| 3 | 2011 | 88 | |
| 4 | 2014 | 84 | |
| 5 | 2016 | 43 | |
| 6 | 2019 | 35 | |
| 7 | COMPARISON OF ANN AND ANFIS TECHNIQUES IN MODELING DISSOLVED OXYGEN | 2012 | 11 |
| 8 | 2021 | 11 | |
| 9 | 2017 | 9 | |
| 10 | 2018 | 8 | |
| 11 | Trend Analysis of Monthly Total Rainfall and Monthly Mean Air Temperature Variables of Yozgat in Turkey | 2017 | 7 |
| 12 | 2017 | 6 | |
| 13 | Comparison of Mann-Kendall and Sen’s innovative trend tests on measured monthly flows series of some streams in Euphrates-Tigris Basin | 2018 | 4 |
| 14 | 2022 | 4 | |
| 15 | 2024 | 2 | |
| 16 | Mann-Kendall ve Sen'in yeni eğilim testlerinin Fırat-Dicle Havzasındaki bazı akarsuların aylık akış serileri ile karşılaştırılması | 2018 | 1 |
| 17 | 2007 | 1 | |
| 18 | Modelling COD concentration by using different artificial intelligence methods | 2013 | 1 |
| 19 | YOZGAT İLİ İÇİN AYLIK DOĞAL GAZ TÜKETİMİNİN MODELLENMESİ VE EĞİLİM ANALİZİ | 2017 | 1 |
| 20 | 2016 | 1 |
About Murat Ay
Murat Ay is a scholar working on Environmental Engineering, Global and Planetary Change, Water Science and Technology, Artificial Intelligence and Industrial and Manufacturing Engineering, having authored 21 papers that have together received 712 indexed citations. Recurring topics across this work include Hydrological Forecasting Using AI (9 papers), Hydrology and Drought Analysis (9 papers), Climate variability and models (5 papers), Water Quality Monitoring Technologies (4 papers), Water Quality Monitoring and Analysis (4 papers), Solar Radiation and Photovoltaics (3 papers), Hydrology and Watershed Management Studies (3 papers) and Plant Water Relations and Carbon Dynamics (2 papers). The work is most often cited by research in Water Science and Technology (368 citations), Environmental Engineering (287 citations), Global and Planetary Change (360 citations), Industrial and Manufacturing Engineering (62 citations) and Atmospheric Science (110 citations). Murat Ay has collaborated with scholars based in Türkiye. Frequent co-authors include Özgür Kişi and Hüseyin Akbulut. Their work appears in journals such as Journal of Hydrology, Journal of Environmental Engineering, Theoretical and Applied Climatology, Meteorology and Atmospheric Physics and KSCE Journal of Civil Engineering.
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.