David Barba
Impact in
- Developmental Neuroscience top 5%
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- Nerve injury and regeneration
- Neuroscience and Neural Engineering
Papers in
-
- Semiconductor materials and devices 17
- Chalcogenide Semiconductor Thin Films 10
- Thin-Film Transistor Technologies 7
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- Silicon Nanostructures and Photoluminescence 29
- Quantum Dots Synthesis And Properties 15
- Co-authors
- Federico Rosei (30 shared papers)Stephen C. Saris (3 shared papers)Mark H. Tuszynski (4 shared papers)S A Rosenberg (1 shared paper)Edward H. Oldfield (1 shared paper)J.R.H. Ross (22 shared papers)Haiguang Zhao (12 shared papers)F. Martín (19 shared papers)
- Journals
- Journal of Applied Physics (13 papers)Applied Physics Letters (4 papers)Advanced Functional Materials (4 papers)Nanotechnology (4 papers)Journal of neurosurgery (3 papers)
- Partner nations
- CanadaUnited StatesChina
In The Last Decade
David Barba
90 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 127
- Developmental Neuroscience 107
- Cellular and Molecular Neuroscience 405
- Neurology 128
- Renewable Energy, Sustainability and the Environment 269
- Materials Chemistry 675
Countries citing papers authored by David Barba
This map shows the geographic impact of David Barba'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 Barba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Barba more than expected).
Fields of papers citing papers by David Barba
This network shows the impact of papers produced by David Barba. 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 Barba. The network helps show where David Barba may publish in the future.
Co-authors
The 25 scholars most cited alongside David Barba, 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 97 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 233 | |
| 2 | 1989 | 208 | |
| 3 | 2014 | 183 | |
| 4 | 2018 | 164 | |
| 5 | 2017 | 110 | |
| 6 | 2017 | 107 | |
| 7 | 2020 | 84 | |
| 8 | 2018 | 70 | |
| 9 | 1988 | 64 | |
| 10 | 2020 | 55 | |
| 11 | 1989 | 49 | |
| 12 | 2008 | 49 | |
| 13 | 2010 | 43 | |
| 14 | 2007 | 40 | |
| 15 | 2017 | 33 | |
| 16 | 1995 | 33 | |
| 17 | 2022 | 33 | |
| 18 | 2020 | 31 | |
| 19 | 2008 | 29 | |
| 20 | 2019 | 28 |
About David Barba
David Barba is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Biomedical Engineering, Atomic and Molecular Physics, and Optics and Cellular and Molecular Neuroscience, having authored 97 papers that have together received 2.3k indexed citations. Recurring topics across this work include Silicon Nanostructures and Photoluminescence (29 papers), Nanowire Synthesis and Applications (21 papers), Semiconductor materials and devices (17 papers), Quantum Dots Synthesis And Properties (15 papers), Chalcogenide Semiconductor Thin Films (10 papers), Ion-surface interactions and analysis (7 papers), Thin-Film Transistor Technologies (7 papers) and Advanced Photocatalysis Techniques (6 papers). The work is most often cited by research in Developmental Neuroscience (107 citations), Cellular and Molecular Neuroscience (405 citations), Neurology (128 citations), Renewable Energy, Sustainability and the Environment (269 citations) and Materials Chemistry (675 citations). David Barba has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Federico Rosei, Stephen C. Saris, Mark H. Tuszynski, S A Rosenberg, Edward H. Oldfield, J.R.H. Ross, Haiguang Zhao, F. Martín, Alan H. Nagahara and Gurpreet Singh Selopal. Their work appears in journals such as Journal of Applied Physics, Applied Physics Letters, Advanced Functional Materials, Nanotechnology and Journal of neurosurgery.
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.