Frisco Rose

676 citations
6 papers · 398 · h-index 6

Impact in

    • Machine Learning in Materials Science
    • X-ray Diffraction in Crystallography
    • Electronic and Structural Properties of Oxides
    • Advanced Thermoelectric Materials and Devices

Papers in

    • Machine Learning in Materials Science 5
    • Electronic and Structural Properties of Oxides 2
    • X-ray Diffraction in Crystallography 2
    • Catalysis and Oxidation Reactions 2

Frisco Rose

6 papers receiving 393 citations

Peers

Frisco Rose
Comparison fields: 5 of 67
  • Materials Chemistry 276
  • Catalysis 18
  • Physical and Theoretical Chemistry 20
  • Mechanical Engineering 75
  • Computational Theory and Mathematics 32
Replace Wancheng Yu with:
Wancheng Yu China
Amanda Morgenstern United States
Bowen Zhang China
Qingqing Jia China
Ziyang Zhang China
B.C. Rinderspacher United States
Jaehoon Kim South Korea
Konstantinos Konstantinou United Kingdom
Leonardo Medrano Sandonas Germany
Samuel A. Miller United States
Frisco Rose relative to Wancheng Yu China Wancheng Yu's profile →
Citations per field
00.5×
Wancheng Yu · 1×
Citations per year

Countries citing papers authored by Frisco Rose

Since Specialization
Citations

This map shows the geographic impact of Frisco Rose'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 Frisco Rose with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frisco Rose more than expected).

Fields of papers citing papers by Frisco Rose

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Frisco Rose. 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 Frisco Rose. The network helps show where Frisco Rose may publish in the future.

Co-authors

The 25 scholars most cited alongside Frisco Rose, 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 Frisco Rose Line = papers co-authored together Frisco Rose links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown

About Frisco Rose

Frisco Rose is a scholar working on Materials Chemistry, Catalysis, Neurology, Computational Theory and Mathematics and Neurology, having authored 6 papers that have together received 398 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (5 papers), Catalysis and Oxidation Reactions (2 papers), Electronic and Structural Properties of Oxides (2 papers), X-ray Diffraction in Crystallography (2 papers), Neurological diseases and metabolism (1 paper), Inorganic Chemistry and Materials (1 paper), Alzheimer's disease research and treatments (1 paper) and Computational Drug Discovery Methods (1 paper). The work is most often cited by research in Materials Chemistry (276 citations), Catalysis (18 citations), Physical and Theoretical Chemistry (20 citations), Mechanical Engineering (75 citations) and Computational Theory and Mathematics (32 citations). Frisco Rose has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include Cormac Toher, Stefano Curtarolo, Ohad Levy, J. Bernholc, Miroslav Hodak, Richard H. Taylor, Kesong Yang, Corey Oses, David Hicks and Michael J. Mehl. Their work appears in journals such as Computational Materials Science, Scientific Reports, Journal of Chemical Information and Modeling and SHILAP Revista de lepidopterología.

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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