S.S. Ghadikolaei
- Biomedical Engineering top 1%
- Mechanical Engineering top 1%
- Computational Mechanics top 0.5%
- Renewable Energy, Sustainability and the Environment top 10%
- Fluid Flow and Transfer Processes top 5%
- Co-authors
- Kh. HosseinzadehD.D. GanjiM. GholiniaDavood Domiri GanjiH. SadeghiM. HatamiBahram JafariMahbod Armin
- Topics
- Nanofluid Flow and Heat Transfer (15 papers)Heat Transfer Mechanisms (14 papers)Fluid Dynamics and Turbulent Flows (9 papers)
- Journals
- International Journal of Hydrogen EnergyIndustrial & Engineering Chemistry ResearchInternational Journal of Biological Macromolecules
- Partner nations
- Iran
In The Last Decade
S.S. Ghadikolaei
18 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 55
- Biomedical Engineering 2.0k
- Mechanical Engineering 1.7k
- Computational Mechanics 1.4k
- Renewable Energy, Sustainability and the Environment 124
- Fluid Flow and Transfer Processes 100
Countries citing papers authored by S.S. Ghadikolaei
This map shows the geographic impact of S.S. Ghadikolaei'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 S.S. Ghadikolaei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S.S. Ghadikolaei more than expected).
Fields of papers citing papers by S.S. Ghadikolaei
This network shows the impact of papers produced by S.S. Ghadikolaei. 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 S.S. Ghadikolaei. The network helps show where S.S. Ghadikolaei may publish in the future.
Co-authorship network of co-authors of S.S. Ghadikolaei
This figure shows the co-authorship network connecting the top 25 collaborators of S.S. Ghadikolaei. A scholar is included among the top collaborators of S.S. Ghadikolaei 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 S.S. Ghadikolaei. S.S. Ghadikolaei is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 107 | |
| 2 | 66 | |
| 3 | 79 | |
| 4 | 147 | |
| 5 | 122 | |
| 6 | 224 | |
| 7 | 11 | |
| 8 | 111 | |
| 9 | 164 | |
| 10 | 111 | |
| 11 | 120 | |
| 12 | 127 | |
| 13 | 123 | |
| 14 | 105 | |
| 15 | Investigation on thermophysical properties of Tio2–Cu/H2O hybrid nanofluid transport dependent on shape factor in MHD stagnation point flowbreakdown → | 410 |
| 16 | 121 | |
| 17 | 20 | |
| 18 | 8 |
About S.S. Ghadikolaei
S.S. Ghadikolaei is a scholar working on Computational Mechanics, Mechanical Engineering and Biomedical Engineering, having authored 18 papers that have together received 2.2k indexed citations. Recurring topics across this work include Nanofluid Flow and Heat Transfer (15 papers), Heat Transfer Mechanisms (14 papers) and Fluid Dynamics and Turbulent Flows (9 papers). The work is most often cited by research in Computational Mechanics (1.4k citations), Mechanical Engineering (1.7k citations) and Biomedical Engineering (2.0k citations). S.S. Ghadikolaei has collaborated with scholars based in Iran. Frequent co-authors include Kh. Hosseinzadeh, D.D. Ganji, M. Gholinia, Davood Domiri Ganji, H. Sadeghi, M. Hatami, Bahram Jafari, Mahbod Armin, Abdollah Omrani and Morteza Ehsani. Their work appears in journals such as International Journal of Hydrogen Energy, Industrial & Engineering Chemistry Research and International Journal of Biological Macromolecules.
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.