Kamran Davary

1.0k total citations
58 papers, 740 citations indexed

About

Kamran Davary is a scholar working on Water Science and Technology, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Kamran Davary has authored 58 papers receiving a total of 740 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Water Science and Technology, 22 papers in Global and Planetary Change and 19 papers in Environmental Engineering. Recurrent topics in Kamran Davary's work include Hydrology and Watershed Management Studies (15 papers), Water resources management and optimization (12 papers) and Flood Risk Assessment and Management (10 papers). Kamran Davary is often cited by papers focused on Hydrology and Watershed Management Studies (15 papers), Water resources management and optimization (12 papers) and Flood Risk Assessment and Management (10 papers). Kamran Davary collaborates with scholars based in Iran, Netherlands and United States. Kamran Davary's co-authors include B Ghahraman, Ali Naghi Ziaei, Azizallah Izady, Amin Alizadeh, Mohsen Pourreza‐Bilondi, Miriam Coenders‐Gerrits, Mojtaba Shafiei, Hojjat Mianabadi, Zahra Naji Azimi and Morteza Sadeghi and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Remote Sensing of Environment.

In The Last Decade

Kamran Davary

55 papers receiving 724 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kamran Davary Iran 17 373 293 285 168 108 58 740
Fawen Li China 15 316 0.8× 479 1.6× 202 0.7× 89 0.5× 67 0.6× 72 817
Lineu Neiva Rodrigues Brazil 17 543 1.5× 471 1.6× 327 1.1× 182 1.1× 68 0.6× 77 934
Ungtae Kim United States 14 317 0.8× 300 1.0× 209 0.7× 156 0.9× 32 0.3× 28 597
B Ghahraman Iran 19 363 1.0× 375 1.3× 268 0.9× 244 1.5× 194 1.8× 82 968
Max Billib Germany 13 356 1.0× 175 0.6× 146 0.5× 259 1.5× 153 1.4× 31 635
Mohammad Reza Alizadeh Canada 11 155 0.4× 437 1.5× 133 0.5× 140 0.8× 57 0.5× 16 758
Toshiharu Kojiri Japan 14 464 1.2× 321 1.1× 232 0.8× 228 1.4× 101 0.9× 65 752
Ray‐Shyan Wu Taiwan 14 285 0.8× 262 0.9× 206 0.7× 81 0.5× 27 0.3× 59 565
M Mousavi Baygi Iran 11 179 0.5× 375 1.3× 212 0.7× 76 0.5× 27 0.3× 33 664
Nebo Jovanovic South Africa 14 334 0.9× 390 1.3× 229 0.8× 96 0.6× 61 0.6× 50 830

Countries citing papers authored by Kamran Davary

Since Specialization
Citations

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

Fields of papers citing papers by Kamran Davary

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kamran Davary

This figure shows the co-authorship network connecting the top 25 collaborators of Kamran Davary. A scholar is included among the top collaborators of Kamran Davary 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 Kamran Davary. Kamran Davary 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
2.
Davary, Kamran, et al.. (2024). Estimation of water balance components by Noah-MP land surface model for the Neyshaboor watershed, Khorasan Razavi, Iran. Applied Water Science. 14(2). 2 indexed citations
3.
Ziaei, Ali Naghi, et al.. (2024). Optimal land allocation and irrigation scheduling to maximize the economic utility. International Journal of Plant Production. 18(2). 289–300. 1 indexed citations
4.
Kolahi, Mahdi, et al.. (2024). Integrated approach to water resource management in Mashhad Plain, Iran: actor analysis, cognitive mapping, and roadmap development. Scientific Reports. 14(1). 162–162. 11 indexed citations
6.
Shafiei, Mojtaba, et al.. (2022). Sustainability assessment of water management at river basin level: Concept, methodology and application. Journal of Environmental Management. 316. 115201–115201. 16 indexed citations
7.
Davary, Kamran, et al.. (2020). CCollaborative Framework for Decision Making Process of the Water Management (Case Study: Kashafrood Basin). Journal of watershed management research. 11(22). 76–95.
8.
Walker, Jeffrey P., Narendra N. Das, Kamran Davary, et al.. (2020). On the impact of C-band in place of L-band radar for SMAP downscaling. Remote Sensing of Environment. 251. 112111–112111. 7 indexed citations
9.
Azimi, Zahra Naji, et al.. (2020). Sustainable allocation of water resources in water-scarcity conditions using robust fuzzy stochastic programming. Journal of Cleaner Production. 276. 123812–123812. 56 indexed citations
10.
Lotfalipour, Mohammad Reza, et al.. (2019). Estimation of water demand function in agricultural, urban and industrial sectors in Mashhad Plain. Modern Applied Science. 13. 1 indexed citations
11.
Davary, Kamran, et al.. (2019). General Equation for Advance and Recession of Water in Border Irrigation. Irrigation and Drainage. 68(3). 476–487. 9 indexed citations
12.
Davary, Kamran, et al.. (2019). A framework for organizing participatory Water Planning and Management Team (WPMT). International Journal of Engineering and Technology. 11(3). 515–529. 2 indexed citations
13.
Davary, Kamran, et al.. (2018). Enhancing flood hazard estimation methods on alluvial fans using an integrated hydraulic, geological and geomorphological approach. Natural hazards and earth system sciences. 18(4). 1159–1171. 6 indexed citations
14.
Davary, Kamran, et al.. (2016). Estimating Soil Water Retention Curve Using The Particle Size Distribution Based on Fractal Approach. SHILAP Revista de lepidopterología. 1 indexed citations
15.
Shafiei, Mojtaba, et al.. (2016). Mashhad Wise Water Forum: a path to sustainable water resources management in a semi-arid region of Iran. EGUGA. 4 indexed citations
16.
Alizadeh, Amin, et al.. (2014). The Impact of Water Stress and Salinity on Water Requirement and Crop Coefficient of Greenhouse Bell Pepper. Advances in Environmental Biology. 8. 1 indexed citations
17.
Izady, Azizallah, Kamran Davary, Amin Alizadeh, et al.. (2014). Groundwater conceptualization and modeling using distributed SWAT-based recharge for the semi-arid agricultural Neishaboor plain, Iran. Hydrogeology Journal. 23(1). 47–68. 60 indexed citations
18.
Khodashenas, Saeed Reza, et al.. (2011). Daily Rainfall Forecasting for Mashhad Synoptic Station using Artificial Neural Networks. 12 indexed citations
19.
Davary, Kamran, et al.. (2010). SPATIAL AND TEMPORAL VARIATIONS OF DROUGHT BY USING PALMER DROUGHT SEVERITY INDEX (CASE STUDY: GHAREGHOM AND PART OF ATRAK BASINS). 17(2). 125–140. 2 indexed citations
20.
Ghahraman, B, et al.. (2006). Estimation of Erosion and Sedimentation of Tang-e-Kenesht Basin with Empirical Models of MPSIAC and EPM Using GIS. 10(1). 91–105. 2 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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