Travis Hart
Impact in
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- Computational Drug Discovery Methods
- Materials Chemistry top 10%
- Machine Learning in Materials Science
Papers in
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- Innovative Microfluidic and Catalytic Techniques Innovation 7
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- Machine Learning in Materials Science 3
- Crystallization and Solubility Studies 2
- Co-authors
- Klavs F. Jensen (8 shared papers)C. Breen (2 shared papers)Timothy F. Jamison (2 shared papers)William H. Green (2 shared papers)Victor Schultz (3 shared papers)Luke Rogers (2 shared papers)Connor W. Coley (1 shared paper)Hanyu Gao (1 shared paper)
- Journals
- Science (2 papers)Organic Process Research & Development (2 papers)Reaction Chemistry & Engineering (1 paper)Chemical Science (1 paper)Chemistry - A European Journal (1 paper)
- Partner nations
- United StatesSpain
In The Last Decade
Travis Hart
10 papers receiving 1.0k citations
Travis Hart's Hit Papers
Peers
Comparison fields: 5 of 99
- Computational Theory and Mathematics 270
- Materials Chemistry 519
- Biomedical Engineering 478
- Information Systems and Management 43
- Catalysis 37
Countries citing papers authored by Travis Hart
This map shows the geographic impact of Travis Hart'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 Travis Hart with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Travis Hart more than expected).
Fields of papers citing papers by Travis Hart
This network shows the impact of papers produced by Travis Hart. 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 Travis Hart. The network helps show where Travis Hart may publish in the future.
Co-authors
The 25 scholars most cited alongside Travis Hart, 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 | A robotic platform for flow synthesis of organic compounds informed by AI planning Hit paper breakdown → | 2019 | 730 |
| 2 | 2022 | 119 | |
| 3 | 2023 | 89 | |
| 4 | 2022 | 36 | |
| 5 | 1963 | 23 | |
| 6 | 2021 | 21 | |
| 7 | 2023 | 13 | |
| 8 | 2022 | 9 | |
| 9 | 2020 | 5 | |
| 10 | F0 stylization in speech : straight lines vs parabolas | 1991 | 2 |
About Travis Hart
Travis Hart is a scholar working on Biomedical Engineering, Materials Chemistry, Spectroscopy, Molecular Biology and Information Systems, having authored 10 papers that have together received 1.0k indexed citations. Recurring topics across this work include Innovative Microfluidic and Catalytic Techniques Innovation (7 papers), Analytical Chemistry and Chromatography (4 papers), Machine Learning in Materials Science (3 papers), Crystallization and Solubility Studies (2 papers), Chemical Synthesis and Analysis (2 papers), Cloud Computing and Resource Management (1 paper), Phonetics and Phonology Research (1 paper) and Computational Drug Discovery Methods (1 paper). The work is most often cited by research in Computational Theory and Mathematics (270 citations), Materials Chemistry (519 citations), Biomedical Engineering (478 citations), Information Systems and Management (43 citations) and Catalysis (37 citations). Travis Hart has collaborated with scholars based in United States and Spain. Frequent co-authors include Klavs F. Jensen, C. Breen, Timothy F. Jamison, William H. Green, Victor Schultz, Luke Rogers, Connor W. Coley, Hanyu Gao, Pieter Plehiers and Jonathan N. Jaworski. Their work appears in journals such as Science, Organic Process Research & Development, Reaction Chemistry & Engineering, Chemical Science 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.