Nessa Carson
Impact in
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- Computational Drug Discovery Methods
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- Machine Learning in Materials Science
Papers in
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- Chemistry and Chemical Engineering 3
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- Machine Learning in Materials Science 6
- Co-authors
- Scott E. Denmark (1 shared paper)Katherine M. P. Wheelhouse (1 shared paper)Julien C. Vantourout (1 shared paper)Claudio Battilocchio (1 shared paper)Darren L. Poole (1 shared paper)Christopher C. Scarborough (1 shared paper)Per‐Ola Norrby (1 shared paper)Samuel Genheden (1 shared paper)
- Journals
- Organic Process Research & Development (3 papers)Organic Letters (2 papers)Green Chemistry (1 paper)Patterns (1 paper)Chemistry - A European Journal (1 paper)
- Partner nations
- United KingdomUnited StatesSwitzerland
In The Last Decade
Nessa Carson
12 papers receiving 418 citations
Nessa Carson's Hit Papers
Peers
Comparison fields: 5 of 53
- Computational Theory and Mathematics 130
- Materials Chemistry 163
- Organic Chemistry 114
- Drug Discovery 1
- Electrochemistry 11
Countries citing papers authored by Nessa Carson
This map shows the geographic impact of Nessa Carson'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 Nessa Carson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nessa Carson more than expected).
Fields of papers citing papers by Nessa Carson
This network shows the impact of papers produced by Nessa Carson. 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 Nessa Carson. The network helps show where Nessa Carson may publish in the future.
Co-authors
The 25 scholars most cited alongside Nessa Carson, 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 | SELFIES and the future of molecular string representations Hit paper breakdown → | 2022 | 180 |
| 2 | 2021 | 62 | |
| 3 | 2024 | 56 | |
| 4 | 2023 | 39 | |
| 5 | 2015 | 30 | |
| 6 | 2022 | 24 | |
| 7 | 2020 | 17 | |
| 8 | 2020 | 15 | |
| 9 | 2022 | 10 | |
| 10 | 2024 | 8 | |
| 11 | 2022 | 4 | |
| 12 | 2025 | 2 | |
| 13 | 2026 | 0 |
About Nessa Carson
Nessa Carson is a scholar working on Environmental Chemistry, Materials Chemistry, Computational Theory and Mathematics, Organic Chemistry and Physical and Theoretical Chemistry, having authored 13 papers that have together received 447 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (6 papers), Asymmetric Synthesis and Catalysis (3 papers), Chemistry and Chemical Engineering (3 papers), Computational Drug Discovery Methods (3 papers), Various Chemistry Research Topics (2 papers), Axial and Atropisomeric Chirality Synthesis (1 paper), Organic Chemistry Synthesis Methods (1 paper) and Additive Manufacturing and 3D Printing Technologies (1 paper). The work is most often cited by research in Computational Theory and Mathematics (130 citations), Materials Chemistry (163 citations), Organic Chemistry (114 citations), Drug Discovery (1 citation) and Electrochemistry (11 citations). Nessa Carson has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Scott E. Denmark, Katherine M. P. Wheelhouse, Julien C. Vantourout, Claudio Battilocchio, Darren L. Poole, Christopher C. Scarborough, Per‐Ola Norrby, Samuel Genheden, Olaf Wiest and Connor W. Coley. Their work appears in journals such as Organic Process Research & Development, Organic Letters, Green Chemistry, Patterns and Chemistry - A European Journal.
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.