Alireza Daneshi

760 citations
10 papers · 577 indexed · 1 hit paper · h-index 6
Topics
Water resources management and optimization (4 papers)Land Use and Ecosystem Services (3 papers)Transboundary Water Resource Management (3 papers)
Partner nations
IranBelgiumSpain

In The Last Decade

Alireza Daneshi

10 papers receiving 570 citations

Hit Papers

Application of Support Vector Machine, Random Forest, and...20172026202020232017100200300

Peers

Alireza Daneshi
Comparison fields: 5 of 95
  • Global and Planetary Change 318
  • Environmental Engineering 262
  • Water Science and Technology 246
  • Ocean Engineering 60
  • Ecology 47
Replace Padala Raja Shekar with:
Padala Raja Shekar India
Bilel Zeroualı Algeria
Anoop Kumar Shukla India
Daeryong Park South Korea
Ray‐Shyan Wu Taiwan
Davoud Davoudi Moghaddam Iran
Ahmad Nohegar Iran
M Mousavi Baygi Iran
Anurag Ohri India
Xiangyi Ding China
Alireza Daneshi relative to Padala Raja Shekar India Padala Raja Shekar's profile →
Citations per field
00.5×12.4×
Padala Raja Shekar · 1×
Citations per year

Countries citing papers authored by Alireza Daneshi

Since Specialization
Citations

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

Fields of papers citing papers by Alireza Daneshi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alireza Daneshi

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

All Works

10 of 10 papers shown
#WorkIndexed citations
1 2
2 1
3 3
4 30
5 5
6 16
7 4
8 128
9 16
10
Application of Support Vector Machine, Random Forest, and Genetic Algorithm Optimized Random Forest Models in Groundwater Potential Mappingbreakdown →
372

About Alireza Daneshi

Alireza Daneshi is a scholar working on Ocean Engineering, Water Science and Technology and Global and Planetary Change, having authored 10 papers that have together received 577 indexed citations. Recurring topics across this work include Water resources management and optimization (4 papers), Land Use and Ecosystem Services (3 papers) and Transboundary Water Resource Management (3 papers). The work is most often cited by research in Environmental Engineering (262 citations), Water Science and Technology (246 citations) and Global and Planetary Change (318 citations). Alireza Daneshi has collaborated with scholars based in Iran, Belgium and Spain. Frequent co-authors include Seyed Amir Naghibi, Kourosh Ahmadi, Mostafa Panahi, Ardavan Zarandian, Ali Najafinejad, Roy Brouwer, Jochem Verrelst, Mohsen Mirzaei, Shervan Gharari and Hossein Azadi. Their work appears in journals such as Journal of Hydrology, Sustainability and Remote Sensing.

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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