Mojtaba Sadeghi
- Atmospheric Science top 5%
- Global and Planetary Change top 5%
- Environmental Engineering top 10%
- Water Science and Technology top 10%
- Aerospace Engineering
- Co-authors
- Soroosh SorooshianPhu NguyenKuolin HsuDan BraithwaiteAta Akbari AsanjanMatin Rahnamay NaeiniVesta Afzali GoroohE. J. Shearer
- Topics
- Precipitation Measurement and Analysis (13 papers)Meteorological Phenomena and Simulations (11 papers)Climate variability and models (7 papers)
- Partner nations
- United StatesIranItaly
In The Last Decade
Mojtaba Sadeghi
13 papers receiving 531 citations
Peers
Comparison fields: 5 of 47
- Atmospheric Science 409
- Global and Planetary Change 339
- Environmental Engineering 125
- Water Science and Technology 81
- Aerospace Engineering 27
Countries citing papers authored by Mojtaba Sadeghi
This map shows the geographic impact of Mojtaba Sadeghi'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 Mojtaba Sadeghi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mojtaba Sadeghi more than expected).
Fields of papers citing papers by Mojtaba Sadeghi
This network shows the impact of papers produced by Mojtaba Sadeghi. 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 Mojtaba Sadeghi. The network helps show where Mojtaba Sadeghi may publish in the future.
Co-authorship network of co-authors of Mojtaba Sadeghi
This figure shows the co-authorship network connecting the top 25 collaborators of Mojtaba Sadeghi. A scholar is included among the top collaborators of Mojtaba Sadeghi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mojtaba Sadeghi. Mojtaba Sadeghi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 14 | |
| 3 | 19 | |
| 4 | 112 | |
| 5 | 20 | |
| 6 | Application of Deep Neural Networks and Geographical Information for Improving the Near Real-time Precipitation Estimation Products | 1 |
| 7 | 92 | |
| 8 | 69 | |
| 9 | 28 | |
| 10 | Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks-Cloud Classification System-Climate Data Record (PERSIANN-CCS-CDR) | 6 |
| 11 | 130 | |
| 12 | 22 | |
| 13 | Assessment of the PERSIANN-CDR Products Bias-corrected with the GPCP Datasets Versions 2.2 & 2.3 | 4 |
| 14 | 22 |
About Mojtaba Sadeghi
Mojtaba Sadeghi is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography, having authored 14 papers that have together received 539 indexed citations. Recurring topics across this work include Precipitation Measurement and Analysis (13 papers), Meteorological Phenomena and Simulations (11 papers) and Climate variability and models (7 papers). The work is most often cited by research in Atmospheric Science (409 citations), Global and Planetary Change (339 citations) and Environmental Engineering (125 citations). Mojtaba Sadeghi has collaborated with scholars based in United States, Iran and Italy. Frequent co-authors include Soroosh Sorooshian, Phu Nguyen, Kuolin Hsu, Dan Braithwaite, Ata Akbari Asanjan, Matin Rahnamay Naeini, Vesta Afzali Gorooh, E. J. Shearer, Feng Liu and David T. Bolvin. Their work appears in journals such as Journal of Hydrology, Remote Sensing and Environmental Modelling & Software.
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.