Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Evaluating urban flood risk using hybrid method of TOPSIS and machine learning
2021199 citationsElham Rafiei-Sardooi, Ali Azareh et al.International Journal of Disaster Risk Reductionprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Ali Azareh'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 Azareh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ali Azareh more than expected).
This network shows the impact of papers produced by Ali Azareh. 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 Azareh. The network helps show where Ali Azareh may publish in the future.
Co-authorship network of co-authors of Ali Azareh
This figure shows the co-authorship network connecting the top 25 collaborators of Ali Azareh.
A scholar is included among the top collaborators of Ali Azareh 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 Azareh. Ali Azareh is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Sardooi, Elham Rafiei, et al.. (2021). Drought Monitoring Using MODIS Land Surface Temperature and Normalized Difference Vegetation Index Products in Semi-Arid Areas of Iran. 11(4). 402–418.4 indexed citations
Rafiei-Sardooi, Elham, Ali Azareh, Bahram Choubin, Amir Mosavi, & John J. Clague. (2021). Evaluating urban flood risk using hybrid method of TOPSIS and machine learning. International Journal of Disaster Risk Reduction. 66. 102614–102614.199 indexed citations breakdown →
Azareh, Ali, et al.. (2014). Investigate the relationship between hydrological andmeteorological droughts in Karaj dam Basin. European Journal of Experimental Biology. 4(3).4 indexed citations
15.
Azareh, Ali, et al.. (2014). ASSESSMENT OF THE GROUNDWATER QUALITY FEASIBILITY ZONES FOR IRRIGATIONAL PURPOSES (CASE STUDY; SOUTHWEST PART OF KERMAN PROVINCE, IRAN). International Journal of Plant Animal and Environmental Sciences. 2014(3).1 indexed citations
16.
Azareh, Ali, et al.. (2014). INVESTIGATION OF CHANGES IN RANGELAND VEGETATION REGARDING DIFFERENT SLOPES, ELEVATION AND GEOGRAPHICAL ASPECTS (CASE STUDY: YAZI RANGELAND, NOOR COUNTY, IRAN). 4(3). 246–255.5 indexed citations
17.
Zehtabian, Gholamreza, Ali Azareh, Aliakbar Nazari Samani, & Hassan Khosravi. (2013). Effect of water and agriculture criteria on desertification (case study: Garmsar plain).. International Journal of Agronomy and Plant Production. 4(7). 1721–1730.1 indexed citations
18.
Zehtabian, Gholamreza, et al.. (2013). Determining the most suitable geo-statistical method to develop zoning map of parameters EC, TDS and TH groundwater (case study: Garmsar Plain, Iran).. International Journal of Agronomy and Plant Production. 4(8). 1855–1862.4 indexed citations
19.
Saravi, M Mohseni, Ali Keshavarzi, & Ali Azareh. (2013). Modeling of SAR and sulfate concentration using artificial neural network approach.. International Journal of Agronomy and Plant Production. 4(3). 499–506.2 indexed citations
20.
Azareh, Ali, et al.. (2013). Tracking changes of ground water quality of Kashan plain in line with potable water security context.. International Journal of Agronomy and Plant Production. 4(8). 1952–1961.1 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.