David Jacqmin
- Computational Mechanics top 0.5%
- Materials Chemistry top 10%
- Electrical and Electronic Engineering top 10%
- Biomedical Engineering top 10%
- Surfaces, Coatings and Films top 2%
- Co-authors
- Richard S. LindzenW.M.B. DuvalBrian F. FarrellAndreas AcrivosBoris KhusidM. R. FosterAnil KumarJozef Škarda
- Topics
- Fluid Dynamics and Turbulent Flows (6 papers)Solidification and crystal growth phenomena (5 papers)Fluid Dynamics and Thin Films (4 papers)
- Partner nations
- United StatesChinaJapan
In The Last Decade
David Jacqmin
26 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 79
- Computational Mechanics 1.7k
- Materials Chemistry 617
- Electrical and Electronic Engineering 386
- Biomedical Engineering 370
- Surfaces, Coatings and Films 315
Countries citing papers authored by David Jacqmin
This map shows the geographic impact of David Jacqmin'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 David Jacqmin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Jacqmin more than expected).
Fields of papers citing papers by David Jacqmin
This network shows the impact of papers produced by David Jacqmin. 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 David Jacqmin. The network helps show where David Jacqmin may publish in the future.
Co-authorship network of co-authors of David Jacqmin
This figure shows the co-authorship network connecting the top 25 collaborators of David Jacqmin. A scholar is included among the top collaborators of David Jacqmin 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 David Jacqmin. David Jacqmin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | A Study of Cavitation-Ignition Bubble Combustion | 5 |
| 4 | 22 | |
| 5 | 12 | |
| 6 | Contact-line dynamics of a diffuse fluid interfacebreakdown → | 622 |
| 7 | Radiation Heat Transfer Modeling Improved for Phase-Change, Thermal Energy Storage Systems | 1 |
| 8 | Phase-Field Surface Tension Modeling for Two-Phase Navier-Stokes Flow | 0 |
| 9 | 62 | |
| 10 | Experimental Results From the Thermal Energy Storage-1 (TES-1) Flight Experiment | 2 |
| 11 | 16 | |
| 12 | 13 | |
| 13 | 17 | |
| 14 | 4 | |
| 15 | 1 | |
| 16 | 10 | |
| 17 | 23 | |
| 18 | 15 | |
| 19 | 5 | |
| 20 | 12 |
About David Jacqmin
David Jacqmin is a scholar working on Computational Mechanics, Physical and Theoretical Chemistry and Fluid Flow and Transfer Processes, having authored 28 papers that have together received 2.3k indexed citations. Recurring topics across this work include Fluid Dynamics and Turbulent Flows (6 papers), Solidification and crystal growth phenomena (5 papers) and Fluid Dynamics and Thin Films (4 papers). The work is most often cited by research in Computational Mechanics (1.7k citations), Surfaces, Coatings and Films (315 citations) and Materials Chemistry (617 citations). David Jacqmin has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Richard S. Lindzen, W.M.B. Duval, Brian F. Farrell, Andreas Acrivos, Boris Khusid, M. R. Foster, Anil Kumar, Jozef Škarda, William A. Arnold and Zhiyong Qiu. Their work appears in journals such as Applied Physics Letters, Journal of Fluid Mechanics and Journal of Computational Physics.
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.