Sam Miller
Impact in
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- Advanced Thermoelectric Materials and Devices
- Machine Learning in Materials Science
- Thermal properties of materials
- X-ray Diffraction in Crystallography
- 2D Materials and Applications
- Electronic and Structural Properties of Oxides
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- Heusler alloys: electronic and magnetic properties
Papers in
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- Statistical Methods in Clinical Trials 1
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- Advanced Thermoelectric Materials and Devices 2
- Machine Learning in Materials Science 2
- Thermal properties of materials 2
- Nuclear Materials and Properties 1
- Co-authors
- Thomas Oliver Mason (2 shared papers)Vladan Stevanović (2 shared papers)Prashun Gorai (2 shared papers)Brenden R. Ortiz (2 shared papers)Scott Alexander Barnett (2 shared papers)Eric S. Toberer (2 shared papers)Jun Yan (1 shared paper)Qin Lv (1 shared paper)
- Journals
- Computational Materials Science (1 paper)Pharmaceutical Statistics (1 paper)Nuclear Science and Engineering (1 paper)Energy & Environmental Science (1 paper)Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Sam Miller
6 papers receiving 395 citations
Peers
Comparison fields: 5 of 49
- Materials Chemistry 348
- Electronic, Optical and Magnetic Materials 59
- Electrical and Electronic Engineering 123
- Statistics and Probability 17
- Energy Engineering and Power Technology 6
Countries citing papers authored by Sam Miller
This map shows the geographic impact of Sam 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 Sam Miller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sam Miller more than expected).
Fields of papers citing papers by Sam Miller
This network shows the impact of papers produced by Sam 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 Sam Miller. The network helps show where Sam Miller may publish in the future.
Co-authors
The 25 scholars most cited alongside Sam Miller, 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 | 249 | |
| 2 | 2015 | 114 | |
| 3 | 2018 | 20 | |
| 4 | 2004 | 18 | |
| 5 | 2022 | 5 | |
| 6 | 2002 | 4 |
About Sam Miller
Sam Miller is a scholar working on Statistics and Probability, Materials Chemistry, Condensed Matter Physics, Electronic, Optical and Magnetic Materials and Immunology, having authored 6 papers that have together received 410 indexed citations. Recurring topics across this work include Advanced Thermoelectric Materials and Devices (2 papers), Machine Learning in Materials Science (2 papers), Thermal properties of materials (2 papers), Statistical Methods in Clinical Trials (1 paper), Magnetic Properties of Alloys (1 paper), Nuclear Materials and Properties (1 paper), Photorefractive and Nonlinear Optics (1 paper) and Biosimilars and Bioanalytical Methods (1 paper). The work is most often cited by research in Materials Chemistry (348 citations), Electronic, Optical and Magnetic Materials (59 citations), Electrical and Electronic Engineering (123 citations), Statistics and Probability (17 citations) and Energy Engineering and Power Technology (6 citations). Sam Miller has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Thomas Oliver Mason, Vladan Stevanović, Prashun Gorai, Brenden R. Ortiz, Scott Alexander Barnett, Eric S. Toberer, Jun Yan, Qin Lv, Nicky Best and Douglas Thompson. Their work appears in journals such as Computational Materials Science, Pharmaceutical Statistics, Nuclear Science and Engineering, Energy & Environmental Science and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.
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.