David Mérida
Impact in
- Molecular Medicine top 5%
- Hydrogels: synthesis, properties, applications
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- Electrospun Nanofibers in Biomedical Applications
- Supramolecular Self-Assembly in Materials
Papers in
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- Shape Memory Alloy Transformations 5
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- Energy Efficient Wireless Sensor Networks 3
- Co-authors
- Eneko Axpe (7 shared papers)Doreen Chan (1 shared paper)Eric A. Appel (1 shared paper)Hector Lopez Hernandez (1 shared paper)Giovanni S. Offeddu (1 shared paper)F. Plazaola (11 shared papers)José Ángel García (6 shared papers)Ramón Fabregat (8 shared papers)
- Journals
- Journal of Alloys and Compounds (2 papers)Applied Physics Letters (1 paper)Nurse Education Today (1 paper)RSC Advances (1 paper)Macromolecules (1 paper)
- Partner nations
- SpainUnited StatesUnited Kingdom
In The Last Decade
David Mérida
24 papers receiving 424 citations
Peers
Comparison fields: 5 of 97
- Molecular Medicine 94
- Biomaterials 65
- Computer Science Applications 20
- Media Technology 29
- Pharmaceutical Science 19
Countries citing papers authored by David Mérida
This map shows the geographic impact of David Mérida'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 Mérida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Mérida more than expected).
Fields of papers citing papers by David Mérida
This network shows the impact of papers produced by David Mérida. 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 Mérida. The network helps show where David Mérida may publish in the future.
Co-authors
The 25 scholars most cited alongside David Mérida, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 199 | |
| 2 | 2014 | 30 | |
| 3 | 2002 | 26 | |
| 4 | 2016 | 26 | |
| 5 | 2016 | 21 | |
| 6 | 2017 | 18 | |
| 7 | 2015 | 13 | |
| 8 | 2015 | 13 | |
| 9 | 2014 | 13 | |
| 10 | 2016 | 13 | |
| 11 | 2015 | 11 | |
| 12 | 2015 | 9 | |
| 13 | 2004 | 9 | |
| 14 | 2004 | 7 | |
| 15 | 2002 | 5 | |
| 16 | 2022 | 5 | |
| 17 | 2008 | 4 | |
| 18 | SHAAD: Adaptable, Adaptive and Dynamic Hypermedia System for content delivery | 2002 | 3 |
| 19 | 2002 | 3 | |
| 20 | 2008 | 3 |
About David Mérida
David Mérida is a scholar working on Materials Chemistry, Computer Networks and Communications, Electronic, Optical and Magnetic Materials, Sociology and Political Science and Information Systems, having authored 25 papers that have together received 437 indexed citations. Recurring topics across this work include Shape Memory Alloy Transformations (5 papers), Multimedia Communication and Technology (4 papers), Magnetic and transport properties of perovskites and related materials (4 papers), Experimental Learning in Engineering (3 papers), Muon and positron interactions and applications (3 papers), Energy Efficient Wireless Sensor Networks (3 papers), Recommender Systems and Techniques (3 papers) and Energy Harvesting in Wireless Networks (3 papers). The work is most often cited by research in Molecular Medicine (94 citations), Biomaterials (65 citations), Computer Science Applications (20 citations), Media Technology (29 citations) and Pharmaceutical Science (19 citations). David Mérida has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Eneko Axpe, Doreen Chan, Eric A. Appel, Hector Lopez Hernandez, Giovanni S. Offeddu, F. Plazaola, José Ángel García, Ramón Fabregat, J.A. Garcı́a and V. Recarte. Their work appears in journals such as Journal of Alloys and Compounds, Applied Physics Letters, Nurse Education Today, RSC Advances and 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.