Samantha Corapi
Impact in
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- Machine Learning in Materials Science
- Catalytic Processes in Materials Science
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- Scientific Computing and Data Management
Papers in
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- Catalytic Processes in Materials Science 1
- Machine Learning in Materials Science 1
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- Scientific Computing and Data Management 1
- Co-authors
- Alán Aspuru‐Guzik (4 shared papers)Gary Tom (2 shared papers)Gun Deniz Akkoc (1 shared paper)Martin Seifrid (1 shared paper)Stanley Lo (2 shared papers)Han Hao (1 shared paper)Stefan P. Schmid (1 shared paper)Sergio Pablo‐García (2 shared papers)
- Journals
- ACS Nano (1 paper)Chemical Reviews (1 paper)Energy & Environmental Science (1 paper)DOAJ (DOAJ: Directory of Open Access Journals) (1 paper)
- Partner nations
- CanadaUnited StatesPoland
In The Last Decade
Samantha Corapi
4 papers receiving 273 citations
Samantha Corapi's Hit Papers
Peers
Comparison fields: 5 of 62
- Materials Chemistry 116
- Information Systems and Management 15
- Computational Theory and Mathematics 29
- Inorganic Chemistry 20
- Renewable Energy, Sustainability and the Environment 19
Countries citing papers authored by Samantha Corapi
This map shows the geographic impact of Samantha Corapi'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 Samantha Corapi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samantha Corapi more than expected).
Fields of papers citing papers by Samantha Corapi
This network shows the impact of papers produced by Samantha Corapi. 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 Samantha Corapi. The network helps show where Samantha Corapi may publish in the future.
Co-authors
The 25 scholars most cited alongside Samantha Corapi, 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 | Self-Driving Laboratories for Chemistry and Materials Science Hit paper breakdown → | 2024 | 269 |
| 2 | 2023 | 6 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 1 |
About Samantha Corapi
Samantha Corapi is a scholar working on Materials Chemistry, Information Systems and Management, Process Chemistry and Technology, Artificial Intelligence and Computational Theory and Mathematics, having authored 4 papers that have together received 277 indexed citations. Recurring topics across this work include Scientific Computing and Data Management (1 paper), Analytical Chemistry and Chromatography (1 paper), Computational Drug Discovery Methods (1 paper), CO2 Reduction Techniques and Catalysts (1 paper), Catalytic Processes in Materials Science (1 paper), Carbon dioxide utilization in catalysis (1 paper), Machine Learning in Materials Science (1 paper) and Innovative Microfluidic and Catalytic Techniques Innovation (1 paper). The work is most often cited by research in Materials Chemistry (116 citations), Information Systems and Management (15 citations), Computational Theory and Mathematics (29 citations), Inorganic Chemistry (20 citations) and Renewable Energy, Sustainability and the Environment (19 citations). Samantha Corapi has collaborated with scholars based in Canada, United States and Poland. Frequent co-authors include Alán Aspuru‐Guzik, Gary Tom, Gun Deniz Akkoc, Martin Seifrid, Stanley Lo, Han Hao, Stefan P. Schmid, Sergio Pablo‐García, Felix Strieth‐Kalthoff and Naruki Yoshikawa. Their work appears in journals such as ACS Nano, Chemical Reviews, Energy & Environmental Science and DOAJ (DOAJ: Directory of Open Access Journals).
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.