Javad Behmanesh

1.3k total citations
59 papers, 1.1k citations indexed

About

Javad Behmanesh is a scholar working on Global and Planetary Change, Environmental Engineering and Water Science and Technology. According to data from OpenAlex, Javad Behmanesh has authored 59 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Global and Planetary Change, 26 papers in Environmental Engineering and 15 papers in Water Science and Technology. Recurrent topics in Javad Behmanesh's work include Hydrological Forecasting Using AI (19 papers), Hydrology and Drought Analysis (17 papers) and Hydrology and Watershed Management Studies (14 papers). Javad Behmanesh is often cited by papers focused on Hydrological Forecasting Using AI (19 papers), Hydrology and Drought Analysis (17 papers) and Hydrology and Watershed Management Studies (14 papers). Javad Behmanesh collaborates with scholars based in Iran, China and Italy. Javad Behmanesh's co-authors include Keivan Khalili, Saeid Mehdizadeh, Hossein Rezaie, Nasrin Azad, Fariborz Abbasi, Akbar Shirzad, Vahid Rezaverdinejad, Majid Montaseri, Javad Bazrafshan and Carlo De Michele and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of Hydrology.

In The Last Decade

Javad Behmanesh

53 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Javad Behmanesh Iran 19 552 447 292 169 162 59 1.1k
Nand Lal Kushwaha India 21 546 1.0× 550 1.2× 388 1.3× 154 0.9× 121 0.7× 52 1.2k
Vassilis Z. Antonopoulos Greece 16 307 0.6× 324 0.7× 352 1.2× 178 1.1× 157 1.0× 27 931
Gorka Landeras Spain 17 895 1.6× 642 1.4× 489 1.7× 240 1.4× 357 2.2× 19 1.3k
Keivan Khalili Iran 15 582 1.1× 390 0.9× 265 0.9× 54 0.3× 147 0.9× 36 912
Hadi Sanikhani Iran 23 630 1.1× 925 2.1× 496 1.7× 127 0.8× 276 1.7× 41 1.5k
Shouzheng Jiang China 18 616 1.1× 276 0.6× 240 0.8× 174 1.0× 290 1.8× 62 1.2k
Yi Ji China 16 227 0.4× 340 0.8× 490 1.7× 238 1.4× 59 0.4× 36 1.2k
Ali Rahimikhoob Iran 14 284 0.5× 306 0.7× 159 0.5× 88 0.5× 220 1.4× 23 669
Hamid Zare Abyaneh Iran 13 254 0.5× 356 0.8× 351 1.2× 83 0.5× 79 0.5× 44 839
Muhammad Shoaib Pakistan 21 549 1.0× 541 1.2× 480 1.6× 122 0.7× 112 0.7× 53 1.2k

Countries citing papers authored by Javad Behmanesh

Since Specialization
Citations

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

Fields of papers citing papers by Javad Behmanesh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Javad Behmanesh

This figure shows the co-authorship network connecting the top 25 collaborators of Javad Behmanesh. A scholar is included among the top collaborators of Javad Behmanesh 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 Javad Behmanesh. Javad Behmanesh 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
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Rezaverdinejad, Vahid, et al.. (2024). Development of long short-term memory along with differential optimization and neural networks for coagulant dosage prediction in water treatment plant. Journal of Water Process Engineering. 65. 105784–105784. 9 indexed citations
4.
Azad, Nasrin, Javad Behmanesh, Vahid Rezaverdinejad, et al.. (2023). CNN deep learning performance in estimating nitrate uptake by maize and root zone losses under surface drip irrigation. Journal of Hydrology. 625. 130148–130148. 10 indexed citations
5.
Samadianfard, Saeed, et al.. (2023). Integration of fruit fly and firefly optimization algorithm with support vector regression in estimating daily pan evaporation. International Journal of Biometeorology. 68(2). 237–251. 6 indexed citations
6.
Behmanesh, Javad, et al.. (2023). Evaluation of AquaCrop and intelligent models in predicting yield and biomass values of wheat. International Journal of Biometeorology. 67(4). 621–632. 2 indexed citations
7.
Azad, Nasrin, Javad Behmanesh, & Vahid Rezaverdinejad. (2023). Long-term numerical modeling of nitrate leaching into groundwater under surface drip irrigation of corn. Environmental Geochemistry and Health. 45(8). 6245–6266. 3 indexed citations
8.
Behmanesh, Javad, et al.. (2023). Evapotranspiration estimation using hybrid and intelligent methods. Soft Computing. 27(14). 9801–9821.
9.
Rezaie, Hossein, et al.. (2022). Investigation of Drought Trend on the Basis of the Best Obtained Drought Index. Water Resources Management. 36(4). 1355–1375. 23 indexed citations
10.
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
11.
Amini, Ata, et al.. (2020). Efficiency of artificial neural networks in determining scour depth at composite bridge piers. International Journal of River Basin Management. 19(3). 327–333. 5 indexed citations
12.
Azad, Nasrin, et al.. (2020). An analysis of optimal fertigation implications in different soils on reducing environmental impacts of agricultural nitrate leaching. Scientific Reports. 10(1). 7797–7797. 52 indexed citations
13.
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
14.
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
15.
Montaseri, Majid, et al.. (2017). Evaluation of Agricultural Crops Water Footprint with Application of Climate Change in Urmia Lake basin. SHILAP Revista de lepidopterología. 4 indexed citations
16.
Rezaie, Hossein, et al.. (2017). The effect of reference-condition-based temperature modification on the trend of reference evapotranspiration in arid and semi-arid regions. Agricultural Water Management. 194. 204–213. 6 indexed citations
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Behmanesh, Javad, et al.. (2015). RAINFALL-RUNOFF MODELING IN THE TURKEY RIVER USING NUMERICAL AND REGRESSION METHODS. SHILAP Revista de lepidopterología. 1 indexed citations
19.
Behmanesh, Javad, et al.. (2013). PREDICTING POTENTIAL EVAPOTRANSPIRATION USING TIME SERIES MODELS (CASE STUDY: URMIA). 27(1). 213–223. 1 indexed citations
20.
Montaseri, Majid, et al.. (1970). بررسی تأثیر تابع توزیع و روش برآورد تبخیر-تعرق پتانسیل در تعیین شاخص شناسایی خشکسالی. SHILAP Revista de lepidopterología. 40(1). 167–183. 1 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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