R. M. Clever
- Computational Mechanics top 0.5%
- Fluid Dynamics and Turbulent Flows 33
- Fluid Dynamics and Thin Films 27
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- Nonlinear Dynamics and Pattern Formation 3
- Condensed Matter Physics top 5%
- Biomedical Engineering top 5%
- Nanofluid Flow and Heat Transfer 20
- Characterization and Applications of Magnetic Nanoparticles 6
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- Geomagnetism and Paleomagnetism Studies 9
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- Solidification and crystal growth phenomena 7
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- Solar and Space Plasma Dynamics 3
- Co-authors
- F. H. BusseHans FrickG. SchubertP. S. AyyaswamyI. CattonEdward W. BoltonV. E. DennyRobert E. Kelly
- Partner nations
- United StatesGermanyRussia
In The Last Decade
R. M. Clever
47 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 64
- Computational Mechanics 1.5k
- Computer Networks and Communications 520
- Condensed Matter Physics 204
- Biomedical Engineering 632
- Statistical and Nonlinear Physics 171
Countries citing papers authored by R. M. Clever
This map shows the geographic impact of R. M. Clever'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 R. M. Clever with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. M. Clever more than expected).
Fields of papers citing papers by R. M. Clever
This network shows the impact of papers produced by R. M. Clever. 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 R. M. Clever. The network helps show where R. M. Clever may publish in the future.
Co-authorship network
The 22 scholars most cited alongside R. M. Clever, 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 | Three-dimensional convection in the presence of strong vertical magnetic fields | 1996 | 9 |
| 2 | 1996 | 29 | |
| 3 | 1995 | 11 | |
| 4 | 1995 | 7 | |
| 5 | 1994 | 64 | |
| 6 | 1994 | 18 | |
| 7 | 1993 | 2 | |
| 8 | 1992 | 97 | |
| 9 | Transitions to complex flows in thermal convection | 1991 | 4 |
| 10 | Finite amplitude convection in the presence of an inclined magnetic field | 1990 | 5 |
| 11 | 1990 | 33 | |
| 12 | 1989 | 36 | |
| 13 | 1989 | 13 | |
| 14 | 1987 | 48 | |
| 15 | 1985 | 2 | |
| 16 | 1980 | 27 | |
| 17 | 1978 | 37 | |
| 18 | 1977 | 30 | |
| 19 | 1977 | 17 | |
| 20 | 1974 | 20 |
About R. M. Clever
R. M. Clever is a scholar working on Computational Mechanics, Biomedical Engineering and Fluid Flow and Transfer Processes, having authored 48 papers that have together received 2.0k indexed citations. Recurring topics across this work include Fluid Dynamics and Turbulent Flows (33 papers), Fluid Dynamics and Thin Films (27 papers), Nanofluid Flow and Heat Transfer (20 papers), Geomagnetism and Paleomagnetism Studies (9 papers), Solidification and crystal growth phenomena (7 papers), Characterization and Applications of Magnetic Nanoparticles (6 papers), Solar and Space Plasma Dynamics (3 papers) and Nonlinear Dynamics and Pattern Formation (3 papers). The work is most often cited by research in Computational Mechanics (1.5k citations), Computer Networks and Communications (520 citations) and Condensed Matter Physics (204 citations). R. M. Clever has collaborated with scholars based in United States, Germany and Russia. Frequent co-authors include F. H. Busse, F. H. Busse, F. H. Busse, Hans Frick, G. Schubert, P. S. Ayyaswamy, I. Catton, Edward W. Bolton, V. E. Denny and F. H. Busse.
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.