David Buttar
Impact in
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- Computational Drug Discovery Methods
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- Crystallography and molecular interactions
Papers in
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- Machine Learning in Materials Science 5
- Co-authors
- Kjell Jorner (2 shared papers)Tore Brinck (1 shared paper)Per‐Ola Norrby (1 shared paper)Brian Webster (5 shared papers)Robert Docherty (2 shared papers)J. Starbuck (2 shared papers)Jamshed Anwar (2 shared papers)Simon Boothroyd (2 shared papers)
- Journals
- Bioorganic & Medicinal Chemistry Letters (3 papers)Cancer Research (2 papers)Journal of Medicinal Chemistry (2 papers)Organic Process Research & Development (1 paper)Physical Chemistry Chemical Physics (1 paper)
- Partner nations
- United KingdomSwedenUnited States
In The Last Decade
David Buttar
30 papers receiving 828 citations
Peers
Comparison fields: 5 of 94
- Computational Theory and Mathematics 242
- Physical and Theoretical Chemistry 121
- Spectroscopy 132
- Materials Chemistry 327
- Organic Chemistry 193
Countries citing papers authored by David Buttar
This map shows the geographic impact of David Buttar'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 David Buttar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Buttar more than expected).
Fields of papers citing papers by David Buttar
This network shows the impact of papers produced by David Buttar. 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 David Buttar. The network helps show where David Buttar may publish in the future.
Co-authors
The 25 scholars most cited alongside David Buttar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 149 | |
| 2 | 2006 | 75 | |
| 3 | 2010 | 74 | |
| 4 | 2020 | 57 | |
| 5 | 2018 | 53 | |
| 6 | 1998 | 45 | |
| 7 | 2022 | 40 | |
| 8 | 2011 | 35 | |
| 9 | 1999 | 33 | |
| 10 | 2018 | 32 | |
| 11 | 2009 | 31 | |
| 12 | 2012 | 28 | |
| 13 | 2019 | 27 | |
| 14 | 1994 | 23 | |
| 15 | 1996 | 21 | |
| 16 | 1991 | 20 | |
| 17 | 2023 | 19 | |
| 18 | 2001 | 19 | |
| 19 | 2025 | 13 | |
| 20 | 1991 | 12 |
About David Buttar
David Buttar is a scholar working on Molecular Biology, Materials Chemistry, Atomic and Molecular Physics, and Optics, Organic Chemistry and Mechanics of Materials, having authored 30 papers that have together received 864 indexed citations. Recurring topics across this work include Muon and positron interactions and applications (6 papers), Computational Drug Discovery Methods (5 papers), Machine Learning in Materials Science (5 papers), Advanced Chemical Physics Studies (4 papers), Atomic and Molecular Physics (3 papers), Ammonia Synthesis and Nitrogen Reduction (3 papers), Crystallography and molecular interactions (3 papers) and Molecular spectroscopy and chirality (2 papers). The work is most often cited by research in Computational Theory and Mathematics (242 citations), Physical and Theoretical Chemistry (121 citations), Spectroscopy (132 citations), Materials Chemistry (327 citations) and Organic Chemistry (193 citations). David Buttar has collaborated with scholars based in United Kingdom, Sweden and United States. Frequent co-authors include Kjell Jorner, Tore Brinck, Per‐Ola Norrby, Brian Webster, Robert Docherty, J. Starbuck, Jamshed Anwar, Simon Boothroyd, Anders Broo and Andrew Kerridge. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Cancer Research, Journal of Medicinal Chemistry, Organic Process Research & Development and Physical Chemistry Chemical Physics.
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.