Rahman Khatibi

2.8k total citations
82 papers, 2.2k citations indexed

About

Rahman Khatibi is a scholar working on Environmental Engineering, Global and Planetary Change and Water Science and Technology. According to data from OpenAlex, Rahman Khatibi has authored 82 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Environmental Engineering, 24 papers in Global and Planetary Change and 22 papers in Water Science and Technology. Recurrent topics in Rahman Khatibi's work include Hydrological Forecasting Using AI (18 papers), Flood Risk Assessment and Management (17 papers) and Hydrology and Watershed Management Studies (17 papers). Rahman Khatibi is often cited by papers focused on Hydrological Forecasting Using AI (18 papers), Flood Risk Assessment and Management (17 papers) and Hydrology and Watershed Management Studies (17 papers). Rahman Khatibi collaborates with scholars based in Iran, United Kingdom and Türkiye. Rahman Khatibi's co-authors include Ata Allah Nadiri, Mohammad Ali Ghorbani, Sina Sadeghfam, Maryam Gharekhani, Asghar Asghari Moghaddam, Oleg Makarynskyy, Vahid Karimi, Özgür Kişi, Yousef Hassanzadeh and Jalal Shiri and has published in prestigious journals such as The Science of The Total Environment, Journal of Cleaner Production and Scientific Reports.

In The Last Decade

Rahman Khatibi

82 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rahman Khatibi Iran 28 1.4k 689 622 434 270 82 2.2k
Ata Allah Nadiri Iran 29 1.7k 1.2× 882 1.3× 482 0.8× 784 1.8× 281 1.0× 86 2.4k
Wenxi Lu China 28 1.3k 0.9× 611 0.9× 347 0.6× 241 0.6× 394 1.5× 98 2.8k
Ahmed Sefelnasr United Arab Emirates 29 1.1k 0.8× 653 0.9× 421 0.7× 421 1.0× 205 0.8× 79 2.0k
Mac McKee United States 32 1.8k 1.3× 969 1.4× 1.0k 1.6× 214 0.5× 280 1.0× 111 3.4k
Mohamed M. Mohamed United Arab Emirates 29 944 0.7× 656 1.0× 658 1.1× 349 0.8× 143 0.5× 83 2.0k
Frank T.‐C. Tsai United States 30 1.4k 1.0× 981 1.4× 379 0.6× 528 1.2× 192 0.7× 110 2.8k
Rahim Barzegar Iran 32 1.9k 1.4× 1.5k 2.2× 570 0.9× 821 1.9× 496 1.8× 75 3.1k
Jinzhong Yang China 28 1.5k 1.1× 817 1.2× 466 0.7× 306 0.7× 98 0.4× 137 2.7k
Saeed Samadianfard Iran 24 951 0.7× 670 1.0× 630 1.0× 94 0.2× 290 1.1× 54 1.9k

Countries citing papers authored by Rahman Khatibi

Since Specialization
Citations

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

Fields of papers citing papers by Rahman Khatibi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rahman Khatibi

This figure shows the co-authorship network connecting the top 25 collaborators of Rahman Khatibi. A scholar is included among the top collaborators of Rahman Khatibi 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 Rahman Khatibi. Rahman Khatibi 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.
Sadeghfam, Sina, et al.. (2024). A drought study in the basin of Lake Urmia under climate change scenarios with higher spatial resolution to understand the resilience of the basin. Journal of Water and Climate Change. 15(2). 453–475. 7 indexed citations
2.
Sadeghfam, Sina, et al.. (2024). Introducing reservoir sustainability indexing to investigate reservoir operations and piloting it at the basin of Lake Urmia with sparse data. Environmental and Sustainability Indicators. 25. 100577–100577. 2 indexed citations
3.
Vaezi, Ali Reza, et al.. (2024). Critical View of Overland Flow Estimation in Semi-arid Catchments Under Land Subsidence with Long-term Field Measurements. Water Resources Management. 38(7). 2315–2337. 1 indexed citations
4.
Gharekhani, Maryam, Ata Allah Nadiri, Rahman Khatibi, et al.. (2023). Quantifying the groundwater total contamination risk using an inclusive multi-level modelling strategy. Journal of Environmental Management. 332. 117287–117287. 14 indexed citations
5.
Sadeghfam, Sina, et al.. (2023). Mathematical Treatment of Bimodality for the Safety Factor in Riverbank Stability Analysis Using Cusp Catastrophe. International Journal of Geomechanics. 23(11). 1 indexed citations
6.
Khatibi, Rahman, et al.. (2023). Climate zoning under climate change scenarios in the basin of Lake Urmia and in vicinity basins. Theoretical and Applied Climatology. 152(1-2). 181–199. 6 indexed citations
7.
Bagyaraj, Murugesan, Venkatramanan Senapathi, Sivakumar Karthikeyan, et al.. (2023). A study of urban heat island effects using remote sensing and GIS techniques in Kancheepuram, Tamil Nadu, India. Urban Climate. 51. 101597–101597. 25 indexed citations
8.
Sadeghfam, Sina, et al.. (2022). Investigating meteorological/groundwater droughts by copula to study anthropogenic impacts. Scientific Reports. 12(1). 8285–8285. 22 indexed citations
9.
Sadeghfam, Sina, Majid Abdi, Rahman Khatibi, & Ata Allah Nadiri. (2021). An investigation into uncertainties within Human Health Risk Assessment to gain an insight into plans to mitigate impacts of arsenic contamination. Journal of Cleaner Production. 311. 127667–127667. 20 indexed citations
10.
11.
Sadeghfam, Sina, et al.. (2021). Statistical downscaling of precipitation using inclusive multiple modelling (IMM) at two levels. Journal of Water and Climate Change. 12(7). 3373–3387. 10 indexed citations
12.
Ghorbani, Mohammad Ali, Rahman Khatibi, Vijay P. Singh, et al.. (2020). Continuous monitoring of suspended sediment concentrations using image analytics and deriving inherent correlations by machine learning. Scientific Reports. 10(1). 8589–8589. 21 indexed citations
13.
14.
Nadiri, Ata Allah, et al.. (2019). Modelling groundwater level variations by learning from multiple models using fuzzy logic. Hydrological Sciences Journal. 64(2). 210–226. 85 indexed citations
15.
Sadeghfam, Sina, et al.. (2018). Investigating ‘risk’ of groundwater drought occurrences by using reliability analysis. Ecological Indicators. 94. 170–184. 23 indexed citations
16.
17.
Nadiri, Ata Allah, et al.. (2017). The problem of identifying arsenic anomalies in the basin of Sahand dam through risk-based ‘soft modelling’. The Science of The Total Environment. 613-614. 693–706. 26 indexed citations
18.
Nadiri, Ata Allah, Maryam Gharekhani, Rahman Khatibi, & Asghar Asghari Moghaddam. (2017). Assessment of groundwater vulnerability using supervised committee to combine fuzzy logic models. Environmental Science and Pollution Research. 24(9). 8562–8577. 68 indexed citations
19.
Salmasi, Farzin, Rahman Khatibi, & Mohammad Ali Ghorbani. (2012). A study of friction factor formulation in pipes using artificial intelligence techniques and explicit equations. DergiPark (Istanbul University). 20 indexed citations
20.
Khatibi, Rahman, et al.. (2001). Open Architecture In Flood Forecasting Systems. WIT Transactions on Ecology and the Environment. 50. 3 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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