David Martina
Impact in
- Acoustics and Ultrasonics top 2%
- Random lasers and scattering media
- Molecular Medicine top 5%
- Hydrogels: synthesis, properties, applications
Papers in
-
- Adhesion, Friction, and Surface Interactions 7
-
- Advanced Sensor and Energy Harvesting Materials 2
- Elasticity and Material Modeling 2
- Co-authors
- Costantino Creton (7 shared papers)C. Caroli (2 shared papers)Anke Lindner (5 shared papers)T. Baumberger (2 shared papers)Michelle E. Seitz (1 shared paper)Chung‐Yuen Hui (1 shared paper)Venkat R. Krishnan (1 shared paper)Kenneth R. Shull (1 shared paper)
- Journals
- Langmuir (3 papers)Soft Matter (3 papers)Journal of The Royal Society Interface (1 paper)Frontiers in Neural Circuits (1 paper)Materials Science and Engineering C (1 paper)
- Partner nations
- FranceUnited StatesGermany
In The Last Decade
David Martina
13 papers receiving 720 citations
Peers
Comparison fields: 5 of 82
- Acoustics and Ultrasonics 81
- Molecular Medicine 111
- Surfaces, Coatings and Films 155
- Mechanics of Materials 254
- Biomedical Engineering 312
Countries citing papers authored by David Martina
This map shows the geographic impact of David Martina'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 Martina with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Martina more than expected).
Fields of papers citing papers by David Martina
This network shows the impact of papers produced by David Martina. 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 Martina. The network helps show where David Martina may publish in the future.
Co-authors
The 25 scholars most cited alongside David Martina, 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 | 2014 | 160 | |
| 2 | 2008 | 122 | |
| 3 | 2006 | 97 | |
| 4 | 2012 | 76 | |
| 5 | 2010 | 52 | |
| 6 | 2013 | 47 | |
| 7 | 2012 | 43 | |
| 8 | 2008 | 38 | |
| 9 | 2012 | 32 | |
| 10 | 2016 | 27 | |
| 11 | 2014 | 19 | |
| 12 | 2013 | 17 | |
| 13 | 2014 | 1 |
About David Martina
David Martina is a scholar working on Mechanics of Materials, Biomedical Engineering, Atomic and Molecular Physics, and Optics, Computational Mechanics and Surfaces, Coatings and Films, having authored 13 papers that have together received 731 indexed citations. Recurring topics across this work include Adhesion, Friction, and Surface Interactions (7 papers), Force Microscopy Techniques and Applications (4 papers), Advanced Sensor and Energy Harvesting Materials (2 papers), Elasticity and Material Modeling (2 papers), Sparse and Compressive Sensing Techniques (2 papers), Surface Modification and Superhydrophobicity (2 papers), Hydrogels: synthesis, properties, applications (2 papers) and Random lasers and scattering media (2 papers). The work is most often cited by research in Acoustics and Ultrasonics (81 citations), Molecular Medicine (111 citations), Surfaces, Coatings and Films (155 citations), Mechanics of Materials (254 citations) and Biomedical Engineering (312 citations). David Martina has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Costantino Creton, C. Caroli, Anke Lindner, T. Baumberger, Michelle E. Seitz, Chung‐Yuen Hui, Venkat R. Krishnan, Kenneth R. Shull, Chelsea S. Davis and Sylvain Gigan. Their work appears in journals such as Langmuir, Soft Matter, Journal of The Royal Society Interface, Frontiers in Neural Circuits and Materials Science and Engineering C.
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.