Hugh Cartwright
Impact in
- Materials Chemistry top 2%
- Machine Learning in Materials Science
- X-ray Diffraction in Crystallography
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods
Papers in
-
- Various Chemistry Research Topics 4
- Co-authors
- Aron WalshOlexandr IsayevKeith T. ButlerDaniel W. DaviesJason W.H. WongGerard CagneySilvia CurteanuCaterina Durante
- Journals
- Journal of Chemometrics (3 papers)Industrial & Engineering Chemistry Research (2 papers)International Journal of Intelligent Systems (2 papers)Nature (1 paper)Computers & Education (1 paper)
- Partner nations
- United KingdomUnited StatesCanada
In The Last Decade
Hugh Cartwright
40 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 172
- Materials Chemistry 2.2k
- Computational Theory and Mathematics 692
- Metals and Alloys 79
- Structural Biology 29
- Catalysis 135
Countries citing papers authored by Hugh Cartwright
This map shows the geographic impact of Hugh Cartwright'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 Hugh Cartwright with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hugh Cartwright more than expected).
Fields of papers citing papers by Hugh Cartwright
This network shows the impact of papers produced by Hugh Cartwright. 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 Hugh Cartwright. The network helps show where Hugh Cartwright may publish in the future.
Co-authors
The 14 scholars most cited alongside Hugh Cartwright, 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 | 2018 | 0 | |
| 2 | Machine learning for molecular and materials science Hit paper breakdown → | 2018 | 3052 |
| 3 | Why Should On-line Experiments Form Part of University Science Courses? | 2012 | 0 |
| 4 | Using Artificial Intelligence in Chemistry and Biology: A Practical Guide (Chapman & Hall/Crc Research No) | 2008 | 3 |
| 5 | 2008 | 22 | |
| 6 | 2007 | 37 | |
| 7 | 2007 | 40 | |
| 8 | 2005 | 4 | |
| 9 | 2003 | 25 | |
| 10 | 2001 | 1 | |
| 11 | Intelligent Data Analysis in Science | 2000 | 4 |
| 12 | 2000 | 0 | |
| 13 | 1999 | 7 | |
| 14 | 1998 | 41 | |
| 15 | 1998 | 2 | |
| 16 | 1998 | 1 | |
| 17 | The Application of the Genetic Algorithm to Two-Dimensional Strings: The Source Apportionment Problem | 1993 | 8 |
| 18 | 1988 | 2 | |
| 19 | 1986 | 9 | |
| 20 | 1975 | 30 |
About Hugh Cartwright
Hugh Cartwright is a scholar working on Biophysics, Physical and Theoretical Chemistry, Computational Theory and Mathematics, Spectroscopy and Artificial Intelligence, having authored 48 papers that have together received 3.9k indexed citations. Recurring topics across this work include Advanced Chemical Physics Studies (5 papers), Various Chemistry Research Topics (4 papers), Computational Drug Discovery Methods (4 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Gene expression and cancer classification (3 papers), Advanced Control Systems Optimization (3 papers), Neural Networks and Applications (3 papers) and Process Optimization and Integration (3 papers). The work is most often cited by research in Materials Chemistry (2.2k citations), Computational Theory and Mathematics (692 citations), Metals and Alloys (79 citations), Structural Biology (29 citations) and Catalysis (135 citations). Hugh Cartwright has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Aron Walsh, Olexandr Isayev, Keith T. Butler, Daniel W. Davies, Jason W.H. Wong, Gerard Cagney, Silvia Curteanu, Caterina Durante, Walter J. Balfour and Xi Chen. Their work appears in journals such as Journal of Chemometrics, Industrial & Engineering Chemistry Research, International Journal of Intelligent Systems, Nature and Computers & Education.
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.