Sam Miller

1.1k citations
5 papers · 384 · h-index 4

Impact in

    • 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
    • Heusler alloys: electronic and magnetic properties

Papers in

Sam Miller

5 papers receiving 378 citations

Peers

Sam Miller
Comparison fields: 5 of 48
  • Materials Chemistry 333
  • Electronic, Optical and Magnetic Materials 56
  • Electrical and Electronic Engineering 120
  • Energy Engineering and Power Technology 6
  • Statistics and Probability 14
Replace Miguel Dias Costa with:
Miguel Dias Costa Portugal
Guangzong Xing United States
Swanti Satsangi India
Jing Kong United States
Eric Schwenker United States
Ivan S. Novikov Russia
Nianlong Zou China
Il-Gon Kim South Korea
Hisatsugu Yamasaki Japan
Alejandro Rodriguez United States
Sam Miller relative to Miguel Dias Costa Portugal Miguel Dias Costa's profile →
Citations per field
00.5×10.3×
Miguel Dias Costa · 1×
Citations per year

Countries citing papers authored by Sam Miller

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Sam Miller Line = papers co-authored together Sam Miller links everyone, so they are left out of the graph.

All Works

5 of 5 papers shown
#Work
1 2014240
2 2015107
3 201817
4 200417
5 20223

About Sam Miller

Sam Miller is a scholar working on Materials Chemistry, Atomic and Molecular Physics, and Optics, Economics and Econometrics, Aerospace Engineering and Immunology, having authored 5 papers that have together received 384 indexed citations. Recurring topics across this work include Thermal properties of materials (2 papers), Machine Learning in Materials Science (2 papers), Advanced Thermoelectric Materials and Devices (2 papers), Nuclear Materials and Properties (1 paper), Health Systems, Economic Evaluations, Quality of Life (1 paper), Fusion materials and technologies (1 paper), Advanced Fiber Laser Technologies (1 paper) and Statistical Methods in Clinical Trials (1 paper). The work is most often cited by research in Materials Chemistry (333 citations), Electronic, Optical and Magnetic Materials (56 citations), Electrical and Electronic Engineering (120 citations), Energy Engineering and Power Technology (6 citations) and Statistics and Probability (14 citations). Sam Miller has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Brenden R. Ortiz, Eric S. Toberer, Thomas O. Mason, Vladan Stevanović, Scott A. Barnett, Prashun Gorai, Jun Yan, Qin Lv, Nicky Best and Douglas Thompson. Their work appears in journals such as Computational Materials Science, Nuclear Science and Engineering, Energy & Environmental Science, Pharmaceutical Statistics 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.

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