Mahdi Zarghami

2.5k total citations · 1 hit paper
73 papers, 2.0k citations indexed

About

Mahdi Zarghami is a scholar working on Ocean Engineering, Water Science and Technology and Control and Systems Engineering. According to data from OpenAlex, Mahdi Zarghami has authored 73 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Ocean Engineering, 24 papers in Water Science and Technology and 20 papers in Control and Systems Engineering. Recurrent topics in Mahdi Zarghami's work include Water resources management and optimization (42 papers), Multi-Criteria Decision Making (18 papers) and Water-Energy-Food Nexus Studies (14 papers). Mahdi Zarghami is often cited by papers focused on Water resources management and optimization (42 papers), Multi-Criteria Decision Making (18 papers) and Water-Energy-Food Nexus Studies (14 papers). Mahdi Zarghami collaborates with scholars based in Iran, United States and Netherlands. Mahdi Zarghami's co-authors include Ferenc Szidarovszky, Yousef Hassanzadeh, Elmira Hassanzadeh, Reza Ardakanian, E. Sharifi Moghadam, Majid Delavar, Iman Babaeian, Seyed Hamidreza Sadeghi, Erik Mostert and Hojjat Mianabadi and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and European Journal of Operational Research.

In The Last Decade

Mahdi Zarghami

71 papers receiving 1.9k citations

Hit Papers

Determining the Main Factors in Declining the Urmia Lake ... 2011 2026 2016 2021 2011 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mahdi Zarghami Iran 26 834 750 582 339 324 73 2.0k
Mohammad Ebrahim Banihabib Iran 23 859 1.0× 693 0.9× 608 1.0× 274 0.8× 742 2.3× 84 2.3k
Hector Malano Australia 28 1.0k 1.2× 1.1k 1.5× 551 0.9× 188 0.6× 435 1.3× 127 2.4k
Banafsheh Zahraie Iran 25 851 1.0× 684 0.9× 554 1.0× 276 0.8× 391 1.2× 89 2.0k
Neil S. Grigg United States 24 700 0.8× 690 0.9× 551 0.9× 136 0.4× 303 0.9× 205 2.2k
Qian Tan China 32 1.1k 1.3× 771 1.0× 1000 1.7× 131 0.4× 381 1.2× 128 2.8k
Raffaele Giordano Italy 27 378 0.5× 354 0.5× 798 1.4× 296 0.9× 286 0.9× 65 2.0k
Subhankar Karmakar India 38 1.2k 1.5× 390 0.5× 2.5k 4.3× 234 0.7× 818 2.5× 123 4.2k
Abbas Roozbahani Iran 25 498 0.6× 506 0.7× 337 0.6× 242 0.7× 404 1.2× 67 1.6k
Hans Jørgen Henriksen Denmark 26 1.3k 1.5× 610 0.8× 1.2k 2.0× 245 0.7× 882 2.7× 58 2.9k
Alessandro Pagano Italy 23 338 0.4× 274 0.4× 548 0.9× 169 0.5× 207 0.6× 45 1.6k

Countries citing papers authored by Mahdi Zarghami

Since Specialization
Citations

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

Fields of papers citing papers by Mahdi Zarghami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mahdi Zarghami

This figure shows the co-authorship network connecting the top 25 collaborators of Mahdi Zarghami. A scholar is included among the top collaborators of Mahdi Zarghami 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 Mahdi Zarghami. Mahdi Zarghami 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.
Zarghami, Mahdi, et al.. (2023). Evaluating adaptive capacity and identifying climate change barriers to adaptation (case study: Qarranqu Basin, Iran). Sustainable Water Resources Management. 10(1). 5 indexed citations
2.
Zarghami, Mahdi, et al.. (2022). A novel hybrid systemic modeling into sustainable dynamic urban water metabolism management: Case study. Sustainable Cities and Society. 85. 104065–104065. 10 indexed citations
3.
Moghadam, E. Sharifi, Seyed Hamidreza Sadeghi, Mahdi Zarghami, & Majid Delavar. (2022). Developing sustainable land-use patterns at watershed scale using nexus of soil, water, energy, and food. The Science of The Total Environment. 856(Pt 1). 158935–158935. 22 indexed citations
4.
Zarghami, Mahdi, et al.. (2021). MULTI CRITERIA ANALYSIS OF POWER ASYMMETRY IN ARAS TRANSBOUNDARY RIVER BASIN: DERIVING POTENTIAL HYDRO-HEGEMON COUNTRY. DergiPark (Istanbul University).
5.
Baghapour, Mohammad Ali, et al.. (2020). Process Mining Approach of a New Water Quality Index for Long-Term Assessment under Uncertainty Using Consensus-Based Fuzzy Decision Support System. Water Resources Management. 34(3). 1155–1172. 22 indexed citations
6.
Moghadam, E. Sharifi, et al.. (2019). Water-energy-food nexus as a new approach for watershed resources management: a review. SHILAP Revista de lepidopterología. 7(2). 129–135. 13 indexed citations
7.
Niksokhan, Mohammad Hossein, et al.. (2018). CHARGED SYSTEM SEARCH FOR OPTIMUM DESIGN OF COST-EFFECTIVE STRUCTURAL BEST MANAGEMENT PRACTICES FOR IMPROVING WATER QUALITY. Iran University of Science & Technology. 8(2). 295–309. 4 indexed citations
8.
Zarghami, Mahdi. (2018). Short term management of hydro-power system using reinforcement learning. 1 indexed citations
9.
Zarghami, Mahdi, et al.. (2018). Sustainability assessment of restoration plans under climate change by using system dynamics: application on Urmia Lake, Iran. Journal of Water and Climate Change. 10(4). 938–952. 23 indexed citations
10.
Zarghami, Mahdi, et al.. (2017). Optimal Control of EGR System in Gasoline Engine Based on Gaussian Process. IFAC-PapersOnLine. 50(1). 3750–3755. 5 indexed citations
11.
Babaeian, Iman, et al.. (2015). Simulation of climate change in Iran during 2071-2100 using PRECIS regional climate modelling system. SHILAP Revista de lepidopterología. 20 indexed citations
12.
13.
Mianabadi, Hojjat, Erik Mostert, Mahdi Zarghami, & Nick van de Giesen. (2014). A new bankruptcy method for conflict resolution in water resources allocation. Journal of Environmental Management. 144. 152–159. 84 indexed citations
14.
Zarghami, Mahdi, et al.. (2013). OPTIMUM WATER ALLOCATION FOR AGRICULTURAL SECTION OF ZARRINEHRUD RIVER BY NON-SYMMETRIC NASH MODELING. 7(2). 107–125. 1 indexed citations
15.
Zarghami, Mahdi, et al.. (2013). Nash bargaining and leader–follower models in water allocation: Application to the Zarrinehrud River basin, Iran. Applied Mathematical Modelling. 38(7-8). 1959–1968. 60 indexed citations
16.
Zarghami, Mahdi, et al.. (2011). Evaluation of different Group Multi-Criteria Decision Making Methods in Selection of Water Transfer Projects to Urmia Lake Basin. 7(220). 1–14. 4 indexed citations
17.
Zarghami, Mahdi. (2010). Urban Water Management Using Fuzzy-Probabilistic Multi-Objective Programming with Dynamic Efficiency. Water Resources Management. 24(15). 4491–4504. 41 indexed citations
18.
Zarghami, Mahdi, Ferenc Szidarovszky, & Reza Ardakanian. (2009). Multi Attribute Decision Making on Inter-Basin Water Transfer Projects. Scientia Iranica. 16(1). 73–80. 11 indexed citations
19.
Szidarovszky, Ferenc & Mahdi Zarghami. (2009). COMBINING FUZZY QUANTIFIERS AND NEAT OPERATORS FOR SOFT COMPUTING. Iranian journal of fuzzy systems. 6(1). 15–25. 3 indexed citations
20.
Zarghami, Mahdi, Ahmad Abrishamchi, & Reza Ardakanian. (2007). Multi-criteria Decision Making for Integrated Urban Water Management. Water Resources Management. 22(8). 1017–1029. 65 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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