Sebastian Ament
Impact in
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- Machine Learning in Materials Science
- X-ray Diffraction in Crystallography
- Electronic and Structural Properties of Oxides
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- Magnetic confinement fusion research
Papers in
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- Machine Learning in Materials Science 4
- X-ray Diffraction in Crystallography 2
- Electronic and Structural Properties of Oxides 1
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- Gaussian Processes and Bayesian Inference 2
- Co-authors
- Carla P. Gomes (10 shared papers)John M. Gregoire (7 shared papers)Dan Guevarra (3 shared papers)R. B. van Dover (4 shared papers)Lan Zhou (3 shared papers)Yiwei Bai (3 shared papers)Wenting Zhao (3 shared papers)Michael O’Neil (1 shared paper)
- Journals
- npj Computational Materials (2 papers)Nature Machine Intelligence (1 paper)Nuclear Fusion (1 paper)Artificial Intelligence (1 paper)MRS Communications (1 paper)
- Partner nations
- United StatesSwitzerlandFrance
In The Last Decade
Sebastian Ament
12 papers receiving 216 citations
Peers
Comparison fields: 5 of 77
- Materials Chemistry 126
- Nuclear and High Energy Physics 20
- Information Systems and Management 10
- Catalysis 10
- Surfaces, Coatings and Films 9
Countries citing papers authored by Sebastian Ament
This map shows the geographic impact of Sebastian Ament'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 Sebastian Ament with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sebastian Ament more than expected).
Fields of papers citing papers by Sebastian Ament
This network shows the impact of papers produced by Sebastian Ament. 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 Sebastian Ament. The network helps show where Sebastian Ament may publish in the future.
Co-authors
The 25 scholars most cited alongside Sebastian Ament, 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 | 2021 | 60 | |
| 2 | 2021 | 53 | |
| 3 | 2019 | 27 | |
| 4 | 2019 | 26 | |
| 5 | 2024 | 21 | |
| 6 | 2017 | 12 | |
| 7 | Deep Reasoning Networks for Unsupervised Pattern De-mixing with Constraint Reasoning | 2020 | 9 |
| 8 | 2025 | 3 | |
| 9 | 2022 | 3 | |
| 10 | 2021 | 2 | |
| 11 | 2021 | 2 | |
| 12 | Deep Reasoning Networks: Thinking Fast and Slow, for Pattern De-mixing | 2019 | 1 |
| 13 | 2023 | 0 | |
| 14 | 2024 | 0 |
About Sebastian Ament
Sebastian Ament is a scholar working on Materials Chemistry, Artificial Intelligence, Computational Mechanics, Catalysis and Electrical and Electronic Engineering, having authored 14 papers that have together received 219 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (4 papers), Sparse and Compressive Sensing Techniques (2 papers), X-ray Diffraction in Crystallography (2 papers), Gaussian Processes and Bayesian Inference (2 papers), Catalysis and Oxidation Reactions (2 papers), Statistical Distribution Estimation and Applications (1 paper), Advanced X-ray and CT Imaging (1 paper) and Electronic and Structural Properties of Oxides (1 paper). The work is most often cited by research in Materials Chemistry (126 citations), Nuclear and High Energy Physics (20 citations), Information Systems and Management (10 citations), Catalysis (10 citations) and Surfaces, Coatings and Films (9 citations). Sebastian Ament has collaborated with scholars based in United States, Switzerland and France. Frequent co-authors include Carla P. Gomes, John M. Gregoire, Dan Guevarra, R. B. van Dover, Lan Zhou, Yiwei Bai, Wenting Zhao, Michael O’Neil, Maximilian Amsler and Ming-Chiang Chang. Their work appears in journals such as npj Computational Materials, Nature Machine Intelligence, Nuclear Fusion, Artificial Intelligence and MRS Communications.
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.