Mohammad Khavari
Impact in
- Surfaces, Coatings and Films top 10%
- Surface Modification and Superhydrophobicity
- Computational Mechanics top 5%
- Fluid Dynamics and Heat Transfer
Papers in
-
- Ultrasound and Cavitation Phenomena 8
- Graphene research and applications 2
-
- Aluminum Alloy Microstructure Properties 4
- Co-authors
- Dmitry Eskin (12 shared papers)Iakovos Tzanakis (12 shared papers)Abhinav Priyadarshi (9 shared papers)Tuan Tran (3 shared papers)K. Pericleous (5 shared papers)Paul Prentice (7 shared papers)Chao Sun (1 shared paper)Detlef Lohse (1 shared paper)
- Journals
- Ultrasonics Sonochemistry (6 papers)Journal of Fluid Mechanics (2 papers)Carbon (2 papers)Soft Matter (1 paper)Materials Today (1 paper)
- Partner nations
- United KingdomRussiaSingapore
In The Last Decade
Mohammad Khavari
16 papers receiving 554 citations
Peers
Comparison fields: 5 of 64
- Surfaces, Coatings and Films 61
- Computational Mechanics 160
- Materials Chemistry 265
- Mechanical Engineering 157
- Aerospace Engineering 88
Countries citing papers authored by Mohammad Khavari
This map shows the geographic impact of Mohammad Khavari'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 Mohammad Khavari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad Khavari more than expected).
Fields of papers citing papers by Mohammad Khavari
This network shows the impact of papers produced by Mohammad Khavari. 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 Mohammad Khavari. The network helps show where Mohammad Khavari may publish in the future.
Co-authors
The 24 scholars most cited alongside Mohammad Khavari, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 92 | |
| 2 | 2021 | 59 | |
| 3 | 2020 | 59 | |
| 4 | 2021 | 58 | |
| 5 | 2023 | 48 | |
| 6 | 2022 | 45 | |
| 7 | 2021 | 39 | |
| 8 | 2021 | 39 | |
| 9 | 2021 | 29 | |
| 10 | 2011 | 29 | |
| 11 | 2023 | 19 | |
| 12 | 2021 | 17 | |
| 13 | 2017 | 15 | |
| 14 | 2021 | 13 | |
| 15 | 2021 | 3 | |
| 16 | Experimental and Numerical Investigation of Circular Hydraulic Jump | 2010 | 2 |
| 17 | 2025 | 0 |
About Mohammad Khavari
Mohammad Khavari is a scholar working on Materials Chemistry, Aerospace Engineering, Computational Mechanics, Mechanical Engineering and Biomedical Engineering, having authored 17 papers that have together received 566 indexed citations. Recurring topics across this work include Ultrasound and Cavitation Phenomena (8 papers), Aluminum Alloy Microstructure Properties (4 papers), Fluid Dynamics and Heat Transfer (4 papers), Surface Modification and Superhydrophobicity (3 papers), Graphene and Nanomaterials Applications (2 papers), Hydraulic flow and structures (2 papers), Graphene research and applications (2 papers) and Ultrasound and Hyperthermia Applications (2 papers). The work is most often cited by research in Surfaces, Coatings and Films (61 citations), Computational Mechanics (160 citations), Materials Chemistry (265 citations), Mechanical Engineering (157 citations) and Aerospace Engineering (88 citations). Mohammad Khavari has collaborated with scholars based in United Kingdom, Russia and Singapore. Frequent co-authors include Dmitry Eskin, Iakovos Tzanakis, Abhinav Priyadarshi, Tuan Tran, K. Pericleous, Paul Prentice, Chao Sun, Detlef Lohse, Kyriakos Porfyrakis and Justin A. Morton. Their work appears in journals such as Ultrasonics Sonochemistry, Journal of Fluid Mechanics, Carbon, Soft Matter and Materials Today.
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.