Bryce Meredig
- Materials Chemistry top 0.5%
- Machine Learning in Materials Science 32
- X-ray Diffraction in Crystallography 12
- Electronic and Structural Properties of Oxides 7
- Nuclear Materials and Properties 4
- Metals and Alloys top 5%
- Catalysis top 5%
- Catalysis and Oxidation Reactions 4
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods 5
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- Advanced Materials Characterization Techniques 4
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- Inorganic Chemistry and Materials 4
- Co-authors
- Chris WolvertonJames E. SaalScott KirklinMuratahan AykolAlexander ThompsonJeff W. DoakStefan RühlAnton O. Oliynyk
- Partner nations
- United StatesCanadaAustralia
In The Last Decade
Bryce Meredig
43 papers receiving 6.5k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Materials Chemistry 5.4k
- Metals and Alloys 140
- Catalysis 373
- Computational Theory and Mathematics 777
- Electronic, Optical and Magnetic Materials 818
Countries citing papers authored by Bryce Meredig
This map shows the geographic impact of Bryce Meredig'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 Meredig with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bryce Meredig more than expected).
Fields of papers citing papers by Bryce Meredig
This network shows the impact of papers produced by Bryce Meredig. 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 Meredig. The network helps show where Bryce Meredig may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Bryce Meredig, 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 | 2024 | 11 | |
| 2 | 2023 | 20 | |
| 3 | 2023 | 49 | |
| 4 | 2023 | 25 | |
| 5 | 2023 | 9 | |
| 6 | 2020 | 100 | |
| 7 | 2020 | 24 | |
| 8 | 2019 | 11 | |
| 9 | Solving industrial materials problems by using machine learning across diverse computational and experimental data | 2018 | 4 |
| 10 | 2018 | 27 | |
| 11 | 2017 | 57 | |
| 12 | 2017 | 30 | |
| 13 | 2016 | 28 | |
| 14 | 2016 | 26 | |
| 15 | 2016 | 181 | |
| 16 | 2016 | 150 | |
| 17 | 2016 | 23 | |
| 18 | 2014 | 9 | |
| 19 | 2014 | 39 | |
| 20 | Data-Driven Computational Methods for Materials Characterization, Classification, and Discovery | 2012 | 1 |
About Bryce Meredig
Bryce Meredig is a scholar working on Metals and Alloys, Catalysis, Materials Chemistry, Inorganic Chemistry and General Materials Science, having authored 43 papers that have together received 6.7k indexed citations. Recurring topics across this work include Machine Learning in Materials Science (32 papers), X-ray Diffraction in Crystallography (12 papers), Electronic and Structural Properties of Oxides (7 papers), Computational Drug Discovery Methods (5 papers), Catalysis and Oxidation Reactions (4 papers), Advanced Materials Characterization Techniques (4 papers), Inorganic Chemistry and Materials (4 papers) and Nuclear Materials and Properties (4 papers). The work is most often cited by research in Materials Chemistry (5.4k citations), Metals and Alloys (140 citations), Catalysis (373 citations), Computational Theory and Mathematics (777 citations) and Electronic, Optical and Magnetic Materials (818 citations). Bryce Meredig has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Chris Wolverton, James E. Saal, Scott Kirklin, Muratahan Aykol, Alexander Thompson, Jeff W. Doak, Stefan Rühl, Anton O. Oliynyk, Taylor D. Sparks and Michael W. Gaultois. Their work appears in journals such as MRS Bulletin, Physical Review B, Chemistry of Materials, JOM and npj Computational 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.