Jalal Shiri
- Environmental Engineering top 0.1%
- Hydrological Forecasting Using AI 67
- Water Science and Technology top 0.2%
- Hydrology and Watershed Management Studies 46
- Global and Planetary Change top 0.5%
- Plant Water Relations and Carbon Dynamics 33
- Soil Science top 1%
- Irrigation Practices and Water Management 21
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- Soil and Unsaturated Flow 15
- Hydraulic flow and structures 14
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- Neural Networks and Applications 19
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- Energy Load and Power Forecasting 14
- Co-authors
- Özgür KişiPau MartíSepideh KarimiGorka LanderasSungwon KimAmir Hossein NazemiAhmad Fakheri FardOleg Makarynskyy
- Journals
- SHILAP Revista de lepidopterología (5 papers)PLoS ONE (2 papers)The Science of The Total Environment (1 paper)
In The Last Decade
Jalal Shiri
123 papers receiving 5.7k citations
Peers
Comparison fields: 5 of 130
- Environmental Engineering 3.4k
- Water Science and Technology 2.5k
- Global and Planetary Change 2.3k
- Soil Science 728
- Civil and Structural Engineering 1.0k
Countries citing papers authored by Jalal Shiri
This map shows the geographic impact of Jalal Shiri'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 Jalal Shiri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jalal Shiri more than expected).
Fields of papers citing papers by Jalal Shiri
This network shows the impact of papers produced by Jalal Shiri. 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 Jalal Shiri. The network helps show where Jalal Shiri may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jalal Shiri, 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 | 2026 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 4 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 4 | |
| 7 | 2023 | 17 | |
| 8 | 2023 | 2 | |
| 9 | 2021 | 37 | |
| 10 | 2021 | 17 | |
| 11 | 2020 | 11 | |
| 12 | 2020 | 12 | |
| 13 | 2020 | 24 | |
| 14 | 2020 | 35 | |
| 15 | 2019 | 50 | |
| 16 | 2019 | 31 | |
| 17 | 2015 | 90 | |
| 18 | 2015 | 41 | |
| 19 | 2012 | 64 | |
| 20 | 2011 | 32 |
About Jalal Shiri
Jalal Shiri is a scholar working on Environmental Engineering, Water Science and Technology and Soil Science, having authored 126 papers that have together received 5.8k indexed citations. Recurring topics across this work include Hydrological Forecasting Using AI (67 papers), Hydrology and Watershed Management Studies (46 papers), Plant Water Relations and Carbon Dynamics (33 papers), Irrigation Practices and Water Management (21 papers), Neural Networks and Applications (19 papers), Soil and Unsaturated Flow (15 papers), Energy Load and Power Forecasting (14 papers) and Hydraulic flow and structures (14 papers). The work is most often cited by research in Environmental Engineering (3.4k citations), Water Science and Technology (2.5k citations) and Global and Planetary Change (2.3k citations). Jalal Shiri has collaborated with scholars based in Iran, Georgia and Spain. Frequent co-authors include Özgür Kişi, Pau Martí, Sepideh Karimi, Gorka Landeras, Sungwon Kim, Amir Hossein Nazemi, Ahmad Fakheri Fard, Oleg Makarynskyy, Kiyoumars Roushangar and Ali Ashraf Sadraddini. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Science of The Total 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.