Kamran Chapi
Impact in
- Global and Planetary Change top 0.2%
- Flood Risk Assessment and Management
- Hydrology and Drought Analysis
- Fire effects on ecosystems
- Management, Monitoring, Policy and Law top 0.05%
- Landslides and related hazards
Papers in
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- Landslides and related hazards 20
-
- Flood Risk Assessment and Management 29
- Hydrology and Drought Analysis 7
Kamran Chapi
45 papers receiving 5.5k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Global and Planetary Change 4.1k
- Management, Monitoring, Policy and Law 2.1k
- Water Science and Technology 1.8k
- Environmental Engineering 1.6k
- Atmospheric Science 839
Countries citing papers authored by Kamran Chapi
This map shows the geographic impact of Kamran Chapi'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 Kamran Chapi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kamran Chapi more than expected).
Fields of papers citing papers by Kamran Chapi
This network shows the impact of papers produced by Kamran Chapi. 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 Kamran Chapi. The network helps show where Kamran Chapi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kamran Chapi, 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 | 2020 | 31 | |
| 2 | 2020 | 63 | |
| 3 | 2019 | 127 | |
| 4 | 2019 | 77 | |
| 5 | 2019 | 101 | |
| 6 | 2019 | 76 | |
| 7 | 2019 | 99 | |
| 8 | 2019 | 73 | |
| 9 | Landslide spatial modelling using novel bivariate statistical based Naïve Bayes, RBF Classifier, and RBF Network machine learning algorithms Hit paper breakdown → | 2019 | 208 |
| 10 | 2019 | 152 | |
| 11 | 2018 | 93 | |
| 12 | 2018 | 165 | |
| 13 | 2018 | 163 | |
| 14 | 2018 | 98 | |
| 15 | 2018 | 151 | |
| 16 | 2018 | 207 | |
| 17 | 2018 | 143 | |
| 18 | 2017 | 24 | |
| 19 | A novel hybrid artificial intelligence approach for flood susceptibility assessment Hit paper breakdown → | 2017 | 496 |
| 20 | 2016 | 240 |
About Kamran Chapi
Kamran Chapi is a scholar working on Management, Monitoring, Policy and Law, Global and Planetary Change, Water Science and Technology, Environmental Engineering and Safety, Risk, Reliability and Quality, having authored 45 papers that have together received 5.6k indexed citations. Recurring topics across this work include Flood Risk Assessment and Management (29 papers), Landslides and related hazards (20 papers), Hydrology and Watershed Management Studies (15 papers), Groundwater and Watershed Analysis (12 papers), Hydrology and Drought Analysis (7 papers), Soil erosion and sediment transport (5 papers), Geotechnical Engineering and Analysis (5 papers) and Dam Engineering and Safety (4 papers). The work is most often cited by research in Global and Planetary Change (4.1k citations), Management, Monitoring, Policy and Law (2.1k citations), Water Science and Technology (1.8k citations), Environmental Engineering (1.6k citations) and Atmospheric Science (839 citations). Kamran Chapi has collaborated with scholars based in Iran, Vietnam and Malaysia. Frequent co-authors include Himan Shahabi, Ataollah Shirzadi, Binh Thai Pham, Dieu Tien Bui, Khabat Khosravi, Baharin Bin Ahmad, Indra Prakash, Wei Chen, Biswajeet Pradhan and Vijay P. Singh. Their work appears in journals such as Geocarto International, Remote Sensing, Natural Hazards, Sensors and CATENA.
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.