Iman Babaeian

431 total citations
24 papers, 314 citations indexed

About

Iman Babaeian is a scholar working on Global and Planetary Change, Atmospheric Science and Environmental Engineering. According to data from OpenAlex, Iman Babaeian has authored 24 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Global and Planetary Change, 10 papers in Atmospheric Science and 6 papers in Environmental Engineering. Recurrent topics in Iman Babaeian's work include Climate variability and models (17 papers), Meteorological Phenomena and Simulations (10 papers) and Hydrological Forecasting Using AI (5 papers). Iman Babaeian is often cited by papers focused on Climate variability and models (17 papers), Meteorological Phenomena and Simulations (10 papers) and Hydrological Forecasting Using AI (5 papers). Iman Babaeian collaborates with scholars based in Iran, Austria and Italy. Iman Babaeian's co-authors include Mahdi Zarghami, Yousef Hassanzadeh, Morteza Pakdaman, Wolfgang Schöner, Mostafa Hajiaghaei–Keshteli, Amir M. Fathollahi‐Fard, Mohammad Gheibi, Adel Ghazikhani, Laurens M. Bouwer and Peyman Zawar‐Reza and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sustainability and Global and Planetary Change.

In The Last Decade

Iman Babaeian

21 papers receiving 293 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Iman Babaeian Iran 9 204 92 87 74 47 24 314
Mesgana Seyoum Gizaw Canada 8 243 1.2× 101 1.1× 150 1.7× 71 1.0× 42 0.9× 9 342
Hanqing Xu China 9 193 0.9× 96 1.0× 67 0.8× 57 0.8× 44 0.9× 22 313
Somkiat Apipattanavis United States 9 163 0.8× 77 0.8× 75 0.9× 40 0.5× 49 1.0× 9 319
Gebrekidan Worku Tefera United States 10 171 0.8× 61 0.7× 92 1.1× 40 0.5× 54 1.1× 22 298
Bonosri Ghose Bangladesh 9 281 1.4× 71 0.8× 121 1.4× 143 1.9× 58 1.2× 12 377
Isaac Larbi Ghana 15 299 1.5× 95 1.0× 149 1.7× 82 1.1× 49 1.0× 31 430
Nor Eliza Alias Malaysia 10 272 1.3× 116 1.3× 79 0.9× 47 0.6× 40 0.9× 44 367
Ghaith Falah Ziarh Malaysia 9 251 1.2× 138 1.5× 93 1.1× 52 0.7× 41 0.9× 13 317
Ayob Katimon Malaysia 8 198 1.0× 63 0.7× 132 1.5× 107 1.4× 38 0.8× 25 341
Anshul Agarwal Thailand 10 253 1.2× 121 1.3× 161 1.9× 53 0.7× 47 1.0× 15 360

Countries citing papers authored by Iman Babaeian

Since Specialization
Citations

This map shows the geographic impact of Iman Babaeian'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 Iman Babaeian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Iman Babaeian more than expected).

Fields of papers citing papers by Iman Babaeian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Iman Babaeian. 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 Iman Babaeian. The network helps show where Iman Babaeian may publish in the future.

Co-authorship network of co-authors of Iman Babaeian

This figure shows the co-authorship network connecting the top 25 collaborators of Iman Babaeian. A scholar is included among the top collaborators of Iman Babaeian 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 Iman Babaeian. Iman Babaeian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Sabziparvar, A A, et al.. (2024). Evaluation of the RegCM model capability in simulating leaf area index and climatic feedback of dynamic vegetation cover in Iran. Theoretical and Applied Climatology. 155(8). 7177–7191. 1 indexed citations
2.
Babaeian, Iman, et al.. (2024). Sensitivity study of RegCM4.7 model to land surface schemes (BATS and CLM4.5) forced by MPI-ESM1.2-HR in simulating temperature and precipitation over Iran. Theoretical and Applied Climatology. 155(9). 8515–8532. 1 indexed citations
3.
Babaeian, Iman, et al.. (2024). Projected precipitation and temperature changes in the Middle East—West Asia using RegCM4.7 under SSP scenarios. Theoretical and Applied Climatology. 155(6). 4453–4463. 3 indexed citations
4.
Pakdaman, Morteza, Iman Babaeian, & Laurens M. Bouwer. (2022). Improved Monthly and Seasonal Multi-Model Ensemble Precipitation Forecasts in Southwest Asia Using Machine Learning Algorithms. Water. 14(17). 2632–2632. 8 indexed citations
5.
Pakdaman, Morteza, et al.. (2022). European Multi Model Ensemble (EMME): A New Approach for Monthly Forecast of Precipitation. Water Resources Management. 36(2). 611–623. 17 indexed citations
6.
Babaeian, Iman, et al.. (2022). Influence of large-scale climate signals on the precipitation variability over Iran. Stochastic Environmental Research and Risk Assessment. 37(5). 1745–1762. 2 indexed citations
7.
Ghazikhani, Adel, Iman Babaeian, Mohammad Gheibi, Mostafa Hajiaghaei–Keshteli, & Amir M. Fathollahi‐Fard. (2022). A Smart Post-Processing System for Forecasting the Climate Precipitation Based on Machine Learning Computations. Sustainability. 14(11). 6624–6624. 19 indexed citations
8.
Babaeian, Iman, et al.. (2021). Changing Causes of Drought in the Urmia Lake Basin—Increasing Influence of Evaporation and Disappearing Snow Cover. Water. 13(22). 3273–3273. 25 indexed citations
9.
Babaeian, Iman, et al.. (2021). Future Projection of Drought Vulnerability over Northeast Provinces of Iran during 2021–2100. Atmosphere. 12(12). 1704–1704. 8 indexed citations
10.
Babaeian, Iman, et al.. (2020). Future projection of the effects of climate change on saffron yield and spatial-temporal distribution of cultivation by incorporating the effect of extreme climate indices. Theoretical and Applied Climatology. 141(3-4). 1109–1118. 10 indexed citations
11.
Pakdaman, Morteza, et al.. (2020). Post-processing of the North American multi-model ensemble for monthly forecast of precipitation based on neural network models. Theoretical and Applied Climatology. 141(1-2). 405–417. 18 indexed citations
12.
13.
Babaeian, Iman, et al.. (2019). Modeling of the saffron yield in Central Khorasan region based on meteorological extreme events. Theoretical and Applied Climatology. 139(3-4). 1207–1217. 5 indexed citations
14.
15.
Babaeian, Iman, et al.. (2017). Quantifying the possible impacts of climate change on temperature-humidity index, (THI) under RCP scenarios across Iran. 1396(31). 1–18. 1 indexed citations
16.
Babaeian, Iman, et al.. (2015). Simulation of climate change in Iran during 2071-2100 using PRECIS regional climate modelling system. SHILAP Revista de lepidopterología. 20 indexed citations
17.
Babaeian, Iman, et al.. (2012). CLIMATE CHANGE ASSESSMENT OVER IRAN DURING FUTURE DECADES, USING STATISTICAL DOWNSCALING OF ECHO-G MODEL. 27(1104). 205–230. 3 indexed citations
18.
Zarghami, Mahdi, et al.. (2011). Impacts of climate change on runoffs in East Azerbaijan, Iran. Global and Planetary Change. 78(3-4). 137–146. 143 indexed citations
19.
Babaeian, Iman, et al.. (2010). CLIMATE CHANGE PREDICTION OF SOUTH KHORASAN PROVINCE DURING 2010-2039 BY USING STATISTICAL DOWNSCALING OF ECHO-G DATA. 24(2). 218–233. 6 indexed citations
20.
Babaeian, Iman, et al.. (2007). SENSITIVITY ANALYSIS OF DIFFERENT CONVECTION SCHEMES AND DOMAIN CENTERS FOR NUMERICAL SIMULATION OF WINTER PRECIPITATION OVER IRAN. 4(2). 33–42. 4 indexed citations

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.

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