Bryce D. Devine

833 citations
13 papers · 687 indexed · h-index 8

Impact in

    • Machine Learning in Materials Science
    • Graphene research and applications
    • Electronic and Structural Properties of Oxides
    • Copper-based nanomaterials and applications

Papers in

Bryce D. Devine

13 papers receiving 671 citations

Peers

Bryce D. Devine
Comparison fields: 5 of 56
  • Materials Chemistry 514
  • Ceramics and Composites 56
  • Atomic and Molecular Physics, and Optics 134
  • Geophysics 50
  • Structural Biology 5
Replace Tzu-Ray Shan with:
Tzu-Ray Shan United States
Mark J. Noordhoek United States
Émile Maras France
Penghua Ying China
Nils Blanc France
Erwan Oliviero France
Juraj Breza Slovakia
Dündar E. Yılmaz United States
L. J. Huang Canada
Georg Schusteritsch United Kingdom
Bryce D. Devine relative to Tzu-Ray Shan United States Tzu-Ray Shan's profile →
Citations per field
00.5×1.7×
Tzu-Ray Shan · 1×
Citations per year

Countries citing papers authored by Bryce D. Devine

Since Specialization
Citations

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

Fields of papers citing papers by Bryce D. Devine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bryce D. Devine. 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 Bryce D. Devine. The network helps show where Bryce D. Devine may publish in the future.

Co-authorship network

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

All Works

13 of 13 papers shown
#Work
1 2013224
2 201314
3 20133
4 201283
5 201226
6 201151
7 201164
8 20102
9 20102
10 201085
11 20103
12 2010127
13 20063

About Bryce D. Devine

Bryce D. Devine is a scholar working on Materials Chemistry, Ceramics and Composites, Atomic and Molecular Physics, and Optics, Catalysis and Electrical and Electronic Engineering, having authored 13 papers that have together received 687 indexed citations. Recurring topics across this work include Semiconductor materials and devices (5 papers), Machine Learning in Materials Science (3 papers), Electronic and Structural Properties of Oxides (3 papers), Advanced Chemical Physics Studies (3 papers), Microstructure and mechanical properties (2 papers), Semiconductor materials and interfaces (2 papers), Molecular Junctions and Nanostructures (2 papers) and Ion-surface interactions and analysis (1 paper). The work is most often cited by research in Materials Chemistry (514 citations), Ceramics and Composites (56 citations), Atomic and Molecular Physics, and Optics (134 citations), Geophysics (50 citations) and Structural Biology (5 citations). Bryce D. Devine has collaborated with scholars based in United States, Australia and South Korea. Frequent co-authors include Susan B. Sinnott, Simon R. Phillpot, Tzu-Ray Shan, Tao Liang, Travis Kemper, Mark J. Noordhoek, Yangzhong Li, Yu Cheng, Aravind Asthagiri and Jeffery M. Hawkins. Their work appears in journals such as Physical Review B, Materials Science and Engineering R Reports, Surface Science, The Journal of Physical Chemistry A and The Journal of Physical Chemistry C.

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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