Nathaniel Feldberg
Impact in
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- Machine Learning in Materials Science
- MXene and MAX Phase Materials
- ZnO doping and properties
- Electronic and Structural Properties of Oxides
- Boron and Carbon Nanomaterials Research
- Mechanics of Materials top 10%
- Metal and Thin Film Mechanics
Papers in
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- Machine Learning in Materials Science 7
- Boron and Carbon Nanomaterials Research 2
- Graphene research and applications 2
- ZnO doping and properties 1
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- Metal and Thin Film Mechanics 6
- Co-authors
- S. M. Durbin (7 shared papers)T. D. Veal (4 shared papers)David O. Scanlon (3 shared papers)W. M. Linhart (2 shared papers)P. A. Stampe (3 shared papers)R. J. Kennedy (3 shared papers)Louis F. J. Piper (1 shared paper)Nicholas F. Quackenbush (1 shared paper)
- Journals
- Nanotechnology (3 papers)Journal of Electronic Materials (1 paper)Advanced Energy Materials (1 paper)Applied Physics Letters (1 paper)AIP Advances (1 paper)
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
Nathaniel Feldberg
10 papers receiving 369 citations
Peers
Comparison fields: 5 of 18
- Materials Chemistry 355
- Mechanics of Materials 164
- Inorganic Chemistry 75
- Condensed Matter Physics 38
- Electrical and Electronic Engineering 111
Countries citing papers authored by Nathaniel Feldberg
This map shows the geographic impact of Nathaniel Feldberg'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 Nathaniel Feldberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathaniel Feldberg more than expected).
Fields of papers citing papers by Nathaniel Feldberg
This network shows the impact of papers produced by Nathaniel Feldberg. 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 Nathaniel Feldberg. The network helps show where Nathaniel Feldberg may publish in the future.
Co-authors
The 25 scholars most cited alongside Nathaniel Feldberg, 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 | 2013 | 104 | |
| 2 | 2015 | 101 | |
| 3 | 2016 | 39 | |
| 4 | 2019 | 37 | |
| 5 | 2014 | 30 | |
| 6 | 2012 | 20 | |
| 7 | 2017 | 15 | |
| 8 | 2019 | 14 | |
| 9 | 2020 | 6 | |
| 10 | 2019 | 6 |
About Nathaniel Feldberg
Nathaniel Feldberg is a scholar working on Materials Chemistry, Mechanics of Materials, Condensed Matter Physics, Electronic, Optical and Magnetic Materials and Inorganic Chemistry, having authored 10 papers that have together received 372 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (7 papers), Metal and Thin Film Mechanics (6 papers), Ga2O3 and related materials (3 papers), GaN-based semiconductor devices and materials (3 papers), Inorganic Chemistry and Materials (3 papers), Boron and Carbon Nanomaterials Research (2 papers), Graphene research and applications (2 papers) and ZnO doping and properties (1 paper). The work is most often cited by research in Materials Chemistry (355 citations), Mechanics of Materials (164 citations), Inorganic Chemistry (75 citations), Condensed Matter Physics (38 citations) and Electrical and Electronic Engineering (111 citations). Nathaniel Feldberg has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include S. M. Durbin, T. D. Veal, David O. Scanlon, W. M. Linhart, P. A. Stampe, R. J. Kennedy, Louis F. J. Piper, Nicholas F. Quackenbush, Roy Clarke and Laurie J. Phillips. Their work appears in journals such as Nanotechnology, Journal of Electronic Materials, Advanced Energy Materials, Applied Physics Letters and AIP Advances.
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.