Brenna M. Gibbons
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- Electrocatalysts for Energy Conversion 6
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- Machine Learning in Materials Science 3
- Catalytic Processes in Materials Science 2
- X-ray Diffraction in Crystallography 1
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- Ammonia Synthesis and Nitrogen Reduction 1
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- Fuel Cells and Related Materials 4
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- High Temperature Alloys and Creep 1
- Mineral Processing and Grinding 1
- Co-authors
- Apurva MehtaBryce MeredigJulia LingErin AntonoSean ParadisoMaxwell HutchinsonJason Hattrick‐SimpersThomas F. Jaramillo
- Journals
- ACS Applied Energy Materials (2 papers)Chemistry of Materials (2 papers)Advanced Energy Materials (1 paper)
- Partner nations
- United StatesDenmarkUnited Kingdom
In The Last Decade
Brenna M. Gibbons
9 papers receiving 456 citations
Peers
Comparison fields: 5 of 59
- Renewable Energy, Sustainability and the Environment 169
- Materials Chemistry 315
- Electrochemistry 38
- Catalysis 35
- Metals and Alloys 10
Countries citing papers authored by Brenna M. Gibbons
This map shows the geographic impact of Brenna M. Gibbons'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 Brenna M. Gibbons with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brenna M. Gibbons more than expected).
Fields of papers citing papers by Brenna M. Gibbons
This network shows the impact of papers produced by Brenna M. Gibbons. 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 Brenna M. Gibbons. The network helps show where Brenna M. Gibbons may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Brenna M. Gibbons, 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 | 2020 | 42 | |
| 2 | 2020 | 67 | |
| 3 | 2020 | 26 | |
| 4 | Solving industrial materials problems by using machine learning across diverse computational and experimental data | 2018 | 4 |
| 5 | 2018 | 23 | |
| 6 | 2018 | 47 | |
| 7 | 2018 | 167 | |
| 8 | 2017 | 1 | |
| 9 | 2013 | 88 |
About Brenna M. Gibbons
Brenna M. Gibbons is a scholar working on Metals and Alloys, Renewable Energy, Sustainability and the Environment, Materials Chemistry, Catalysis and Electrical and Electronic Engineering, having authored 9 papers that have together received 465 indexed citations. Recurring topics across this work include Electrocatalysts for Energy Conversion (6 papers), Fuel Cells and Related Materials (4 papers), Machine Learning in Materials Science (3 papers), Catalytic Processes in Materials Science (2 papers), Ammonia Synthesis and Nitrogen Reduction (1 paper), High Temperature Alloys and Creep (1 paper), Mineral Processing and Grinding (1 paper) and X-ray Diffraction in Crystallography (1 paper). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (169 citations), Materials Chemistry (315 citations), Electrochemistry (38 citations), Catalysis (35 citations) and Metals and Alloys (10 citations). Brenna M. Gibbons has collaborated with scholars based in United States, Denmark and United Kingdom. Frequent co-authors include Apurva Mehta, Bryce Meredig, Julia Ling, Erin Antono, Sean Paradiso, Maxwell Hutchinson, Jason Hattrick‐Simpers, Thomas F. Jaramillo, Ryan C. Davis and Ben Blaiszik. Their work appears in journals such as ACS Applied Energy Materials, Chemistry of Materials, Advanced Energy Materials, Molecular Systems Design & Engineering and ECS Meeting Abstracts.
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.