Simone Sieg
Impact in
- Materials Chemistry top 10%
- Machine Learning in Materials Science
- Catalytic Processes in Materials Science
- Luminescence Properties of Advanced Materials
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- Catalysts for Methane Reforming
Papers in
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- Machine Learning in Materials Science 5
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- Scientific Computing and Data Management 1
- Co-authors
- Wilhelm F. Maier (5 shared papers)Klaus Stöwe (1 shared paper)Timm Schmidt (2 shared papers)Krishna Rajan (2 shared papers)Changwon Suh (2 shared papers)Fred A. Hamprecht (1 shared paper)James H. Oliver (1 shared paper)
- Journals
- Angewandte Chemie International Edition (1 paper)Journal of Molecular Modeling (1 paper)Journal of Combinatorial Chemistry (1 paper)QSAR & Combinatorial Science (2 papers)
- Partner nations
- GermanyUnited States
In The Last Decade
Simone Sieg
5 papers receiving 387 citations
Peers
Comparison fields: 5 of 49
- Materials Chemistry 250
- Catalysis 22
- Electrochemistry 8
- Process Chemistry and Technology 3
- Renewable Energy, Sustainability and the Environment 28
Countries citing papers authored by Simone Sieg
This map shows the geographic impact of Simone Sieg'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 Simone Sieg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simone Sieg more than expected).
Fields of papers citing papers by Simone Sieg
This network shows the impact of papers produced by Simone Sieg. 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 Simone Sieg. The network helps show where Simone Sieg may publish in the future.
Co-authors
The 7 scholars most cited alongside Simone Sieg, 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 | 2007 | 377 | |
| 2 | 2006 | 29 | |
| 3 | 2009 | 13 | |
| 4 | 2006 | 10 | |
| 5 | 2007 | 5 |
About Simone Sieg
Simone Sieg is a scholar working on Materials Chemistry, Information Systems and Management, Computer Vision and Pattern Recognition, Information Systems and Nuclear Energy and Engineering, having authored 5 papers that have together received 434 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (5 papers), Research Data Management Practices (1 paper), Data Visualization and Analytics (1 paper) and Scientific Computing and Data Management (1 paper). The work is most often cited by research in Materials Chemistry (250 citations), Catalysis (22 citations), Electrochemistry (8 citations), Process Chemistry and Technology (3 citations) and Renewable Energy, Sustainability and the Environment (28 citations). Simone Sieg has collaborated with scholars based in Germany and United States. Frequent co-authors include Wilhelm F. Maier, Klaus Stöwe, Timm Schmidt, Krishna Rajan, Changwon Suh, Fred A. Hamprecht and James H. Oliver. Their work appears in journals such as Angewandte Chemie International Edition, Journal of Molecular Modeling, Journal of Combinatorial Chemistry and QSAR & Combinatorial Science.
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.