Keivan Khalili

1.1k total citations
36 papers, 912 citations indexed

About

Keivan Khalili is a scholar working on Global and Planetary Change, Environmental Engineering and Water Science and Technology. According to data from OpenAlex, Keivan Khalili has authored 36 papers receiving a total of 912 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Global and Planetary Change, 18 papers in Environmental Engineering and 12 papers in Water Science and Technology. Recurrent topics in Keivan Khalili's work include Hydrology and Drought Analysis (23 papers), Climate variability and models (16 papers) and Hydrological Forecasting Using AI (15 papers). Keivan Khalili is often cited by papers focused on Hydrology and Drought Analysis (23 papers), Climate variability and models (16 papers) and Hydrological Forecasting Using AI (15 papers). Keivan Khalili collaborates with scholars based in Iran, Hong Kong and Hungary. Keivan Khalili's co-authors include Javad Behmanesh, Saeid Mehdizadeh, Farshad Ahmadi, Mohammad Nazeri Tahroudi, Rasoul Mirabbasi, Akbar Shirzad, Deepak Jhajharia, Babak Aminnejad, Hossein Rezaie and Arash Adib and has published in prestigious journals such as Journal of Hydrology, Applied Thermal Engineering and Computers and Electronics in Agriculture.

In The Last Decade

Keivan Khalili

35 papers receiving 892 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Keivan Khalili Iran 15 582 390 265 147 145 36 912
Javad Behmanesh Iran 19 552 0.9× 447 1.1× 292 1.1× 162 1.1× 91 0.6× 59 1.1k
Pouya Aghelpour Iran 16 439 0.8× 478 1.2× 262 1.0× 97 0.7× 73 0.5× 27 791
Majid Mirzaei Malaysia 18 526 0.9× 329 0.8× 415 1.6× 59 0.4× 137 0.9× 47 823
Okan Mert Katipoğlu Türkiye 16 526 0.9× 379 1.0× 324 1.2× 65 0.4× 96 0.7× 101 830
Ali Rahimikhoob Iran 14 284 0.5× 306 0.8× 159 0.6× 220 1.5× 75 0.5× 23 669
Jing Lin Ng Malaysia 17 412 0.7× 289 0.7× 222 0.8× 65 0.4× 129 0.9× 53 765
Mohammed Achite Algeria 20 557 1.0× 342 0.9× 401 1.5× 85 0.6× 110 0.8× 67 940
Azadeh Ezani Iran 6 546 0.9× 230 0.6× 208 0.8× 89 0.6× 143 1.0× 6 714
Hamid Zare Abyaneh Iran 13 254 0.4× 356 0.9× 351 1.3× 79 0.5× 90 0.6× 44 839
Shouzheng Jiang China 18 616 1.1× 276 0.7× 240 0.9× 290 2.0× 123 0.8× 62 1.2k

Countries citing papers authored by Keivan Khalili

Since Specialization
Citations

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

Fields of papers citing papers by Keivan Khalili

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keivan Khalili

This figure shows the co-authorship network connecting the top 25 collaborators of Keivan Khalili. A scholar is included among the top collaborators of Keivan Khalili 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 Keivan Khalili. Keivan Khalili 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.
Tahroudi, Mohammad Nazeri, Mirali Mohammadi, & Keivan Khalili. (2022). The application of the hybrid copula-GARCH approach in the simulation of extreme discharge values. Applied Water Science. 12(12). 5 indexed citations
2.
Khalili, Keivan, et al.. (2021). Estimation of ARIMA model parameters for drought prediction using the genetic algorithm. Arabian Journal of Geosciences. 14(10). 14 indexed citations
3.
Khalili, Keivan, et al.. (2020). Monthly streamflow prediction using a hybrid stochastic-deterministic approach for parsimonious non-linear time series modeling. Engineering Applications of Computational Fluid Mechanics. 14(1). 1351–1372. 16 indexed citations
4.
Aminnejad, Babak, et al.. (2019). Assessment of the reliability of three gauged-based global gridded precipitation datasets for drought monitoring. International Journal of Global Warming. 18(2). 103–103. 6 indexed citations
5.
Aminnejad, Babak, et al.. (2019). Assessment of the reliability of three gauged-based global gridded precipitation datasets for drought monitoring. International Journal of Global Warming. 18(2). 103–103. 2 indexed citations
6.
Tahroudi, Mohammad Nazeri, Farshad Ahmadi, & Keivan Khalili. (2018). Impact of 30 Years Changing of River Flow on Urmia Lake Basin. 2(1). 115–122. 2 indexed citations
7.
Behmanesh, Javad, et al.. (2018). Simulation of Spatiotemporal Annual Precipitation Using Stochastic Models. Journal of Water and Soil Science. 22(1). 367–386. 1 indexed citations
8.
Khalili, Keivan, et al.. (2018). Investigating the relationship between physical characteristics of watersheds and nonlinearity of daily streamflow processes. International Journal of Water. 12(2). 141–141. 2 indexed citations
9.
Aminnejad, Babak, et al.. (2018). Application of global precipitation dataset for drought monitoring and forecasting over the Lake Urmia basin with the GA-SVR model. International Journal of Water. 12(3). 262–262. 2 indexed citations
10.
Mehdizadeh, Saeid, Javad Behmanesh, & Keivan Khalili. (2017). Using MARS, SVM, GEP and empirical equations for estimation of monthly mean reference evapotranspiration. Computers and Electronics in Agriculture. 139. 103–114. 184 indexed citations
11.
12.
Mehdizadeh, Saeid, Javad Behmanesh, & Keivan Khalili. (2017). Comprehensive modeling of monthly mean soil temperature using multivariate adaptive regression splines and support vector machine. Theoretical and Applied Climatology. 133(3-4). 911–924. 32 indexed citations
13.
Ahmadi, Farshad, Mohammad Nazeri Tahroudi, Rasoul Mirabbasi, Keivan Khalili, & Deepak Jhajharia. (2017). Spatiotemporal trend and abrupt change analysis of temperature in Iran. Meteorological Applications. 25(2). 314–321. 82 indexed citations
14.
Khalili, Keivan, Mohammad Nazeri Tahroudi, Rasoul Mirabbasi, & Farshad Ahmadi. (2015). Investigation of spatial and temporal variability of precipitation in Iran over the last half century. Stochastic Environmental Research and Risk Assessment. 30(4). 1205–1221. 121 indexed citations
15.
Khalili, Keivan, et al.. (2014). COMPARED TO THE NORMAL MECHANISM BECOMES THE NORMAL MONTHLY RAINFALL DATA FROM DIFFERENT REGIONS OF IRAN. 28(2). 365–372. 1 indexed citations
16.
Khalili, Keivan, et al.. (2014). Evaluation of SAM and Moments Methods for Estimation of Log Pearson Type III Parameters (Case Study: Daily Flow of Rivers in Lake Urmia Basin). 3 indexed citations
17.
Khalili, Keivan, Farshad Ahmadi, Yagob Dinpashoh, & Javad Behmanesh. (2014). LINEAR AND NONLINEAR BEHAVIOR ANALYSIS OF HYDROLOGICAL TIME SERIES (CASE STUDY: WESTERN RIVERS OF LAKE URMIA). 10(230). 12–20. 1 indexed citations
18.
Khalili, Keivan. (2014). Comparison of Geostatistical Methods for Interpolation Groundwater Level (Case study: Lake Urmia Basin). 7 indexed citations
19.
Rezaie, Hossein, et al.. (2014). Surface Air Temperature Trends during the Last 20 Years in Iran. 8 indexed citations
20.
Khalili, Keivan, et al.. (2013). Determination of Climate Changes on Streamflow Process in the West of Lake Urmia With Used to Trend and Stationarity Analysis. International Journal of Advanced Biological and Biomedical Research. 1(10). 1220–1235. 9 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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