Amir Molajou

1.7k total citations
35 papers, 1.2k citations indexed

About

Amir Molajou is a scholar working on Water Science and Technology, Environmental Engineering and Global and Planetary Change. According to data from OpenAlex, Amir Molajou has authored 35 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Water Science and Technology, 18 papers in Environmental Engineering and 14 papers in Global and Planetary Change. Recurrent topics in Amir Molajou's work include Hydrological Forecasting Using AI (16 papers), Water-Energy-Food Nexus Studies (14 papers) and Hydrology and Watershed Management Studies (12 papers). Amir Molajou is often cited by papers focused on Hydrological Forecasting Using AI (16 papers), Water-Energy-Food Nexus Studies (14 papers) and Hydrology and Watershed Management Studies (12 papers). Amir Molajou collaborates with scholars based in Iran, Cyprus and United States. Amir Molajou's co-authors include Vahid Nourani, Abbas Afshar, Hessam Najafi, Aida Hosseini Baghanam, Elnaz Sharghi, M.H. Afshar, Adam Brysiewicz, Hüseyin Gökçekuş, Fahreddin Sadıkoğlu and Mohammad Taghi Sattari and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Scientific Reports.

In The Last Decade

Amir Molajou

34 papers receiving 1.1k citations

Peers

Amir Molajou

WST

GPC

EEE

Yizi Shang China

Yi Ji China

Seleshi Yalew Netherlands

Guanhui Cheng Canada

Murat Kankal Türkiye

Hüseyin Gökçekuş Cyprus

Biju George Australia

Doosun Kang South Korea

Wei Ding China

Alireza Gohari Iran

Yizi Shang China

Amir Molajou

708 ×1.2

WST

328 ×0.7

258 ×0.7

GPC

373 ×1.7

189 ×1.3

EEE

Citations per year, relative to Amir Molajou Amir Molajou (= 1×) peers Yizi Shang

Countries citing papers authored by Amir Molajou

Since Specialization

Citations

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

Fields of papers citing papers by Amir Molajou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amir Molajou

This figure shows the co-authorship network connecting the top 25 collaborators of Amir Molajou. A scholar is included among the top collaborators of Amir Molajou 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 Amir Molajou. Amir Molajou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Molajou, Amir, et al.. (2025). Assessment of the water and energy nexus in the energy supply subsystem of water stressed countries like Iran. Scientific Reports. 15(1). 37467–37467.

Afshar, Abbas, et al.. (2023). Development of a Comprehensive Water Simulation Model for Water, Food, and Energy Nexus Analysis in Basin Scale. Water Resources Management. 37(12). 4589–4621. 10 indexed citations

Afshar, Abbas, et al.. (2023). Development of a novel framework for agriculture simulation model for food-energy-water nexus analysis in watershed-scale. Journal of Cleaner Production. 429. 139492–139492. 19 indexed citations

Afshar, Abbas, et al.. (2023). A review on food subsystem simulation models for the water-food-energy nexus: development perspective. Environmental Science and Pollution Research. 30(42). 95197–95214. 15 indexed citations

Afshar, Abbas, et al.. (2023). Framing a novel holistic energy subsystem structure for water-energy-food nexus based on existing literature (basic concepts). Scientific Reports. 13(1). 6289–6289. 20 indexed citations

Afshar, Abbas, et al.. (2023). A comprehensive energy simulation model for energy-water-food nexus system analysis: A case study of the great Karun water resources system. Journal of Cleaner Production. 418. 137977–137977. 19 indexed citations

Afshar, Abbas, et al.. (2022). Energy simulation modeling for water-energy-food nexus system: a systematic review. Environmental Science and Pollution Research. 30(3). 5487–5501. 31 indexed citations

Afshar, Abbas, et al.. (2022). A review on water simulation models for the WEF Nexus: development perspective. Environmental Science and Pollution Research. 29(53). 79769–79785. 24 indexed citations

Afshar, Abbas, et al.. (2021). Reliability-Based Design of Conjunctive Use Water Resources Systems: Comparison of Cyclic and Non-Cyclic Approaches. SHILAP Revista de lepidopterología. 2 indexed citations

10.

Molajou, Amir, et al.. (2021). Correction to: Optimal Design and Feature Selection by Genetic Algorithm for Emotional Artificial Neural Network (EANN) in Rainfall-Runoff Modeling. Water Resources Management. 35(8). 2385–2385. 3 indexed citations

11.

Afshar, Abbas, et al.. (2021). Assessing Adaptability of Cyclic and Non-Cyclic Approach to Conjunctive use of Groundwater and Surface water for Sustainable Management Plans under Climate Change. Water Resources Management. 35(11). 3463–3479. 38 indexed citations

12.

Molajou, Amir, et al.. (2021). Incorporating Social System into Water-Food-Energy Nexus. Water Resources Management. 35(13). 4561–4580. 67 indexed citations

13.

Afshar, Abbas, et al.. (2020). Socio-hydrological framework for investigating farmers’ activities affecting the shrinkage of Urmia Lake; hybrid data mining and agent-based modelling. Hydrological Sciences Journal. 65(8). 1249–1261. 52 indexed citations

14.

Nourani, Vahid, et al.. (2020). Application of artificial neural network and predictor screening method for downscaling climatic parameters. IOP Conference Series Earth and Environmental Science. 491(1). 12002–12002. 1 indexed citations

15.

Nourani, Vahid, et al.. (2019). Hybrid Wavelet-M5 Model Tree for Rainfall-Runoff Modeling. Journal of Hydrologic Engineering. 24(5). 59 indexed citations

16.

Nourani, Vahid, et al.. (2019). A Wavelet Based Data Mining Technique for Suspended Sediment Load Modeling. Water Resources Management. 33(5). 1769–1784. 52 indexed citations

17.

Sharghi, Elnaz, Vahid Nourani, Amir Molajou, & Hessam Najafi. (2018). Conjunction of emotional ANN (EANN) and wavelet transform for rainfall-runoff modeling. Journal of Hydroinformatics. 21(1). 136–152. 53 indexed citations

18.

Nourani, Vahid, et al.. (2018). ANN-based statistical downscaling of climatic parameters using decision tree predictor screening method. Theoretical and Applied Climatology. 137(3-4). 1729–1746. 80 indexed citations

19.

Nourani, Vahid & Amir Molajou. (2017). Application of a hybrid association rules/decision tree model for drought monitoring. Global and Planetary Change. 159. 37–45. 39 indexed citations

20.

Nourani, Vahid, Mohammad Taghi Sattari, & Amir Molajou. (2017). Threshold-Based Hybrid Data Mining Method for Long-Term Maximum Precipitation Forecasting. Water Resources Management. 31(9). 2645–2658. 30 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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