Moira K. Miller
- Materials Chemistry top 10%
- Electrical and Electronic Engineering top 10%
- Electronic, Optical and Magnetic Materials top 10%
- Atomic and Molecular Physics, and Optics
- Biomedical Engineering
- Co-authors
- Zaiyao FeiBosong SunDavid CobdenWenjin ZhaoZhiying ZhaoXiaodong XuJiaqiang YanTauno Palomaki
- Topics
- Machine Learning in Materials Science (5 papers)GaN-based semiconductor devices and materials (4 papers)Electronic and Structural Properties of Oxides (3 papers)
- Cited by
- Materials ChemistryElectronic, Optical and Magnetic MaterialsElectrical and Electronic Engineering
- Journals
- NatureSHILAP Revista de lepidopterologíaChemistry of Materials
- Partner nations
- United States
In The Last Decade
Moira K. Miller
11 papers receiving 783 citations
Hit Papers
Peers
Comparison fields: 5 of 31
- Materials Chemistry 704
- Electrical and Electronic Engineering 339
- Electronic, Optical and Magnetic Materials 257
- Atomic and Molecular Physics, and Optics 150
- Biomedical Engineering 133
Countries citing papers authored by Moira K. Miller
This map shows the geographic impact of Moira K. Miller'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 Moira K. Miller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Moira K. Miller more than expected).
Fields of papers citing papers by Moira K. Miller
This network shows the impact of papers produced by Moira K. Miller. 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 Moira K. Miller. The network helps show where Moira K. Miller may publish in the future.
Co-authorship network of co-authors of Moira K. Miller
This figure shows the co-authorship network connecting the top 25 collaborators of Moira K. Miller. A scholar is included among the top collaborators of Moira K. Miller 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 Moira K. Miller. Moira K. Miller is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 3 | |
| 4 | 6 | |
| 5 | 7 | |
| 6 | 8 | |
| 7 | 1 | |
| 8 | 7 | |
| 9 | Ferroelectric switching of a two-dimensional metalbreakdown → | 761 |
| 10 | 1 | |
| 11 | 2 |
About Moira K. Miller
Moira K. Miller is a scholar working on Condensed Matter Physics, Materials Chemistry and Electronic, Optical and Magnetic Materials, having authored 11 papers that have together received 800 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (5 papers), GaN-based semiconductor devices and materials (4 papers) and Electronic and Structural Properties of Oxides (3 papers). The work is most often cited by research in Materials Chemistry (704 citations), Electronic, Optical and Magnetic Materials (257 citations) and Electrical and Electronic Engineering (339 citations). Moira K. Miller has collaborated with scholars based in United States. Frequent co-authors include Zaiyao Fei, Bosong Sun, David Cobden, Wenjin Zhao, Zhiying Zhao, Xiaodong Xu, Jiaqiang Yan, Tauno Palomaki, M. Brooks Tellekamp and Adele C. Tamboli. Their work appears in journals such as Nature, SHILAP Revista de lepidopterología and Chemistry of Materials.
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.