Erin Antono
Impact in
- Polymers and Plastics top 5%
- Conducting polymers and applications
- Materials Chemistry top 10%
- Machine Learning in Materials Science
- X-ray Diffraction in Crystallography
- Advanced Thermoelectric Materials and Devices
Papers in
-
- Hydrogen embrittlement and corrosion behaviors in metals 1
-
- Machine Learning in Materials Science 11
- X-ray Diffraction in Crystallography 4
- Electronic and Structural Properties of Oxides 2
- Co-authors
- Bryce MeredigChenchen WangMichael F. ToneyAlberto SalleoDuc T. DuongJulia LingAnton O. OliynykTaylor D. Sparks
- Journals
- npj Computational Materials (1 paper)Scientific Reports (1 paper)Chemistry of Materials (1 paper)MRS Communications (1 paper)ACS Energy Letters (1 paper)
- Partner nations
- United StatesEgyptCanada
In The Last Decade
Erin Antono
15 papers receiving 966 citations
Peers
Comparison fields: 5 of 63
- Polymers and Plastics 243
- Materials Chemistry 613
- Metals and Alloys 32
- Computational Theory and Mathematics 144
- Electrical and Electronic Engineering 390
Countries citing papers authored by Erin Antono
This map shows the geographic impact of Erin Antono'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 Erin Antono with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erin Antono more than expected).
Fields of papers citing papers by Erin Antono
This network shows the impact of papers produced by Erin Antono. 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 Erin Antono. The network helps show where Erin Antono may publish in the future.
Co-authors
The 25 scholars most cited alongside Erin Antono, 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 | 2023 | 20 | |
| 2 | 2021 | 2 | |
| 3 | 2020 | 30 | |
| 4 | 2020 | 24 | |
| 5 | 2020 | 34 | |
| 6 | 2020 | 3 | |
| 7 | 2019 | 11 | |
| 8 | Solving industrial materials problems by using machine learning across diverse computational and experimental data | 2018 | 4 |
| 9 | 2018 | 23 | |
| 10 | 2018 | 30 | |
| 11 | 2018 | 167 | |
| 12 | 2017 | 63 | |
| 13 | 2016 | 25 | |
| 14 | 2016 | 277 | |
| 15 | 2013 | 274 |
About Erin Antono
Erin Antono is a scholar working on Metals and Alloys, Materials Chemistry, Catalysis, Computational Theory and Mathematics and Radiation, having authored 15 papers that have together received 987 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (11 papers), X-ray Diffraction in Crystallography (4 papers), Computational Drug Discovery Methods (2 papers), Electronic and Structural Properties of Oxides (2 papers), Organic Electronics and Photovoltaics (2 papers), Mineral Processing and Grinding (2 papers), Hydrogen embrittlement and corrosion behaviors in metals (1 paper) and Manufacturing Process and Optimization (1 paper). The work is most often cited by research in Polymers and Plastics (243 citations), Materials Chemistry (613 citations), Metals and Alloys (32 citations), Computational Theory and Mathematics (144 citations) and Electrical and Electronic Engineering (390 citations). Erin Antono has collaborated with scholars based in United States, Egypt and Canada. Frequent co-authors include Bryce Meredig, Chenchen Wang, Michael F. Toney, Alberto Salleo, Duc T. Duong, Julia Ling, Anton O. Oliynyk, Taylor D. Sparks, Leila Ghadbeigi and Arthur Mar. Their work appears in journals such as npj Computational Materials, Scientific Reports, Chemistry of Materials, MRS Communications and ACS Energy Letters.
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.