Ali Akbar Akhtari

675 citations
34 papers · 539 indexed · h-index 15

Ali Akbar Akhtari

34 papers receiving 533 citations

Peers

Ali Akbar Akhtari
Comparison fields: 5 of 63
  • Civil and Structural Engineering 346
  • Environmental Engineering 138
  • Ecology 235
  • Water Science and Technology 114
  • Computational Mechanics 91
Replace Saeed Reza Khodashenas with:
Saeed Reza Khodashenas Iran
Ebrahim Jabbari Iran
Ali R. Vatankhah Iran
Mahmoud F. Maghrebi Iran
Gustavo Marini Italy
Salah Kouchakzadeh Iran
Mitra Javan Iran
Miguel Á. Toledo Spain
Mehrshad Samadi Iran
Michael C. Johnson United States
Ali Akbar Akhtari relative to Saeed Reza Khodashenas Iran Saeed Reza Khodashenas's profile →
Citations per field
00.5×2.6×
Saeed Reza Khodashenas · 1×
Citations per year

Countries citing papers authored by Ali Akbar Akhtari

Since Specialization
Citations

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

Fields of papers citing papers by Ali Akbar Akhtari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 19 scholars most cited alongside Ali Akbar Akhtari, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ali Akbar Akhtari Line = papers co-authored together Ali Akbar Akhtari links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 20237
3 20216
4 201920
5 20197
6 201914
7 201814
8 20179
9 20178
10 20175
11 201719
12 201738
13 201725
14
Developing finite volume method (FVM) in numerical simulation of flow pattern in 60° open channel bend
20163
15 20168
16 201635
17 201618
18 20154
19 201515
20
Implementation of the skyline algorithm in finite-element computations of Saint-Venant equations
20141

About Ali Akbar Akhtari

Ali Akbar Akhtari is a scholar working on Civil and Structural Engineering, Ecology and Computational Mechanics, having authored 34 papers that have together received 539 indexed citations. Recurring topics across this work include Hydraulic flow and structures (23 papers), Hydrology and Sediment Transport Processes (18 papers), Hydrological Forecasting Using AI (7 papers), Fluid Dynamics and Turbulent Flows (7 papers), Water Systems and Optimization (5 papers), Fluid Dynamics and Vibration Analysis (4 papers), Dam Engineering and Safety (4 papers) and Hydrology and Watershed Management Studies (3 papers). The work is most often cited by research in Civil and Structural Engineering (346 citations), Environmental Engineering (138 citations) and Ecology (235 citations). Ali Akbar Akhtari has collaborated with scholars based in Iran, Canada and United Kingdom. Frequent co-authors include Hossein Bonakdari, Azadeh Gholami, Amir Hossein Zaji, Mohammad Mehrabi, Isa Ebtehaj, Abbas Rezaei, Akbar A. Javadi, Amir Ahmad Dehghani, David G. Michelson and Gökmen Tayfur. Their work appears in journals such as Engineering Applications of Computational Fluid Mechanics, Applied Water Science, Journal of Water Supply Research and Technology—AQUA, Water Resources Management and Flow Measurement and Instrumentation.

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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