Brian DeCost
Impact in
- Materials Chemistry top 0.5%
- Machine Learning in Materials Science
- Structural Biology top 5%
Papers in
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- Machine Learning in Materials Science 41
- Corrosion Behavior and Inhibition 2
- Solidification and crystal growth phenomena 1
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- High Entropy Alloys Studies 4
- Carbon Dioxide Capture Technologies 2
- Microstructure and Mechanical Properties of Steels 2
- Co-authors
- Kamal Kumar Choudhary (19 shared papers)Elizabeth A. Holm (9 shared papers)Francesca Tavazza (9 shared papers)Jason R. Hattrick-Simpers (17 shared papers)Toby Francis (2 shared papers)Alok Choudhary (2 shared papers)Ankit Agrawal (2 shared papers)Simon J. L. Billinge (2 shared papers)
- Journals
- npj Computational Materials (6 papers)Matter (5 papers)Integrating materials and manufacturing innovation (2 papers)Computational Materials Science (2 papers)JOM (2 papers)
- Partner nations
- United StatesCanadaAustralia
In The Last Decade
Brian DeCost
53 papers receiving 4.7k citations
Brian DeCost's Hit Papers
Peers
Comparison fields: 5 of 127
- Materials Chemistry 3.4k
- Structural Biology 53
- Industrial and Manufacturing Engineering 130
- Computer Vision and Pattern Recognition 268
- Mechanical Engineering 399
Countries citing papers authored by Brian DeCost
This map shows the geographic impact of Brian DeCost'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 Brian DeCost with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian DeCost more than expected).
Fields of papers citing papers by Brian DeCost
This network shows the impact of papers produced by Brian DeCost. 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 Brian DeCost. The network helps show where Brian DeCost may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian DeCost, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Recent advances and applications of deep learning methods in materials science Hit paper breakdown → | 2022 | 807 |
| 2 | Atomistic Line Graph Neural Network for improved materials property predictions Hit paper breakdown → | 2021 | 536 |
| 3 | The joint automated repository for various integrated simulations (JARVIS) for data-driven materials design Hit paper breakdown → | 2020 | 417 |
| 4 | On-the-fly closed-loop materials discovery via Bayesian active learning Hit paper breakdown → | 2020 | 368 |
| 5 | Autonomous experimentation systems for materials development: A community perspective Hit paper breakdown → | 2021 | 289 |
| 6 | 2019 | 281 | |
| 7 | 2019 | 267 | |
| 8 | 2015 | 249 | |
| 9 | 2017 | 181 | |
| 10 | 2018 | 137 | |
| 11 | 2016 | 117 | |
| 12 | 2023 | 92 | |
| 13 | 2023 | 86 | |
| 14 | 2023 | 85 | |
| 15 | 2017 | 77 | |
| 16 | 2020 | 72 | |
| 17 | 2017 | 70 | |
| 18 | 2024 | 62 | |
| 19 | 2016 | 51 | |
| 20 | 2021 | 48 |
About Brian DeCost
Brian DeCost is a scholar working on Materials Chemistry, Mechanical Engineering, Computer Vision and Pattern Recognition, Radiation and Industrial and Manufacturing Engineering, having authored 55 papers that have together received 4.8k indexed citations. Recurring topics across this work include Machine Learning in Materials Science (41 papers), Image Retrieval and Classification Techniques (4 papers), High Entropy Alloys Studies (4 papers), Carbon Dioxide Capture Technologies (2 papers), Microstructure and Mechanical Properties of Steels (2 papers), Corrosion Behavior and Inhibition (2 papers), Industrial Vision Systems and Defect Detection (2 papers) and Solidification and crystal growth phenomena (1 paper). The work is most often cited by research in Materials Chemistry (3.4k citations), Structural Biology (53 citations), Industrial and Manufacturing Engineering (130 citations), Computer Vision and Pattern Recognition (268 citations) and Mechanical Engineering (399 citations). Brian DeCost has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Kamal Kumar Choudhary, Elizabeth A. Holm, Francesca Tavazza, Jason R. Hattrick-Simpers, Toby Francis, Alok Choudhary, Ankit Agrawal, Simon J. L. Billinge, Chris M. Wolverton and Ryan Cohn. Their work appears in journals such as npj Computational Materials, Matter, Integrating materials and manufacturing innovation, Computational Materials Science and JOM.
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.