Ali Rahimikhoob

804 total citations
23 papers, 669 citations indexed

About

Ali Rahimikhoob is a scholar working on Global and Planetary Change, Environmental Engineering and Soil Science. According to data from OpenAlex, Ali Rahimikhoob has authored 23 papers receiving a total of 669 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Global and Planetary Change, 9 papers in Environmental Engineering and 7 papers in Soil Science. Recurrent topics in Ali Rahimikhoob's work include Plant Water Relations and Carbon Dynamics (12 papers), Irrigation Practices and Water Management (7 papers) and Hydrological Forecasting Using AI (5 papers). Ali Rahimikhoob is often cited by papers focused on Plant Water Relations and Carbon Dynamics (12 papers), Irrigation Practices and Water Management (7 papers) and Hydrological Forecasting Using AI (5 papers). Ali Rahimikhoob collaborates with scholars based in Iran, Italy and China. Ali Rahimikhoob's co-authors include Mahmoud Mashal, M. Asadi, Ali Akbar Noroozi, Hamed Ebrahimian, Mohammad Ebrahim Banihabib, Sasan Aliniaeifard, Alfonso Senatore, Giuseppe Mendicino and Majid Ghorbani Javid and has published in prestigious journals such as SHILAP Revista de lepidopterología, Renewable Energy and Desalination.

In The Last Decade

Ali Rahimikhoob

22 papers receiving 652 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ali Rahimikhoob Iran 14 306 284 220 159 110 23 669
Keivan Khalili Iran 15 390 1.3× 582 2.0× 147 0.7× 265 1.7× 117 1.1× 36 912
Javad Behmanesh Iran 19 447 1.5× 552 1.9× 162 0.7× 292 1.8× 117 1.1× 59 1.1k
Victor H. Quej Mexico 6 123 0.4× 265 0.9× 343 1.6× 125 0.8× 159 1.4× 15 652
Manoranjan Kumar India 6 524 1.7× 583 2.1× 197 0.9× 287 1.8× 79 0.7× 11 808
Zongjun Wu China 16 158 0.5× 205 0.7× 99 0.5× 89 0.6× 51 0.5× 38 504
R. G. Allen United States 7 116 0.4× 539 1.9× 226 1.0× 236 1.5× 24 0.2× 9 788
Ali Ashraf Sadraddini Iran 17 315 1.0× 476 1.7× 150 0.7× 251 1.6× 43 0.4× 39 869
Gorka Landeras Spain 17 642 2.1× 895 3.2× 357 1.6× 489 3.1× 107 1.0× 19 1.3k
Lucas Borges Ferreira Brazil 9 308 1.0× 478 1.7× 165 0.8× 237 1.5× 53 0.5× 21 709
Wenjun Yue China 6 174 0.6× 256 0.9× 109 0.5× 118 0.7× 32 0.3× 8 465

Countries citing papers authored by Ali Rahimikhoob

Since Specialization
Citations

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

Fields of papers citing papers by Ali Rahimikhoob

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ali Rahimikhoob

This figure shows the co-authorship network connecting the top 25 collaborators of Ali Rahimikhoob. A scholar is included among the top collaborators of Ali Rahimikhoob 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 Ali Rahimikhoob. Ali Rahimikhoob 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.
Rahimikhoob, Ali, et al.. (2021). Simulation of nitrogen uptake and dry matter for estimation of nitrogen nutrition index during the maize growth period. Journal of Plant Nutrition. 45(6). 920–936. 5 indexed citations
2.
Rahimikhoob, Ali, et al.. (2021). Comparison of water productivity and crop performance in hydroponic and soil cultivation using AquaCrop software*. Irrigation and Drainage. 70(5). 1261–1272. 5 indexed citations
3.
Rahimikhoob, Ali, et al.. (2020). Water use efficiency in novel integrated system of greenhouse and saltwater evaporative pond. Desalination. 496. 114698–114698. 6 indexed citations
4.
Rahimikhoob, Ali, et al.. (2020). Determination of Critical Nitrogen Dilution Curve Based on Canopy Cover Data for Summer Maize. Communications in Soil Science and Plant Analysis. 51(17). 2244–2256. 8 indexed citations
5.
Rahimikhoob, Ali, et al.. (2019). Simulation of nitrogen uptake and distribution under furrows and ridges during the maize growth period using HYDRUS-2D. Irrigation Science. 37(4). 495–509. 21 indexed citations
6.
Rahimikhoob, Ali, et al.. (2017). Numerical Evaluation of the Effects of Increasing Ratio of Cropped to Uncropped Width on Dry Drainage Efficiency in Salty Soils. Irrigation and Drainage. 67(S2). 91–100. 9 indexed citations
7.
Rahimikhoob, Ali, et al.. (2016). A Simple Model for Determining Reference Evapotranspiration Using NOAA Satellite Data: a Case Study. Environmental Processes. 3(2). 479–493. 6 indexed citations
8.
9.
Rahimikhoob, Ali, et al.. (2015). THE EFFECT OF INTERMITTENT DEFICIT IRRIGATION ON YIELD, YIELD COMPONENTS AND WATER PRODUCTIVITY OF MAIZE SC-704. 8(4). 810–816. 1 indexed citations
10.
Rahimikhoob, Ali. (2014). Comparison between M5 Model Tree and Neural Networks for Estimating Reference Evapotranspiration in an Arid Environment. Water Resources Management. 28(3). 657–669. 68 indexed citations
11.
Rahimikhoob, Ali, et al.. (2014). Assessment of Blaney-Criddle Equation for Calculating Reference Evapotranspiration with NOAA/AVHRR Data. Water Resources Management. 28(10). 3365–3375. 16 indexed citations
12.
Rahimikhoob, Ali, M. Asadi, & Mahmoud Mashal. (2013). A Comparison Between Conventional and M5 Model Tree Methods for Converting Pan Evaporation to Reference Evapotranspiration for Semi-Arid Region. Water Resources Management. 27(14). 4815–4826. 85 indexed citations
13.
Rahimikhoob, Ali, et al.. (2013). Daily mean air temperature estimation from MODIS land surface temperature products based on M5 model tree. International Journal of Climatology. 33(15). 3174–3181. 58 indexed citations
14.
Rahimikhoob, Ali, et al.. (2012). An Evaluation of Four Reference Evapotranspiration Models in a Subtropical Climate. Water Resources Management. 26(10). 2867–2881. 45 indexed citations
15.
Rahimikhoob, Ali, et al.. (2012). Comparative study of statistical and artificial neural network's methodologies for deriving global solar radiation from NOAA satellite images. International Journal of Climatology. 33(2). 480–486. 16 indexed citations
16.
Rahimikhoob, Ali. (2010). Estimating global solar radiation using artificial neural network and air temperature data in a semi-arid environment. Renewable Energy. 35(9). 2131–2135. 124 indexed citations
17.
Rahimikhoob, Ali, et al.. (2009). COMPARISON OF SOME SPLIT-WINDOW ALGORITHMS TO ESTIMATE LAND SURFACE TEMPERATURE FROM AVHRR DATA IN SOUTHEASTERN TEHRAN, IRAN. SHILAP Revista de lepidopterología. 14(2). 157–161. 1 indexed citations
18.
Rahimikhoob, Ali. (2009). Estimation of evapotranspiration based on only air temperature data using artificial neural networks for a subtropical climate in Iran. Theoretical and Applied Climatology. 101(1-2). 83–91. 75 indexed citations
19.
20.
Rahimikhoob, Ali, et al.. (2008). Estimation of cooling degree days (CDDs) from AVHRR data and an MLF neural network. Canadian Journal of Remote Sensing. 34(6). 596–600. 6 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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