David Buttar

1.6k citations
31 papers · 830 indexed · h-index 18

David Buttar

31 papers receiving 797 citations

Peers

David Buttar
Comparison fields: 5 of 92
  • Computational Theory and Mathematics 233
  • Physical and Theoretical Chemistry 121
  • Spectroscopy 128
  • Materials Chemistry 316
  • Organic Chemistry 195
Replace Zhengwei Peng with:
Zhengwei Peng United States
N. Sukumar United States
Rubén Laplaza Switzerland
Christopher Barden Canada
Iñaki Morao United Kingdom
Jiří Hostaš Canada
Vivekanand V. Gobre India
Daniel L. Cheney United States
Roberto A. Boto Spain
Caitlin C. Bannan United States
David Buttar relative to Zhengwei Peng United States Zhengwei Peng's profile →
Citations per field
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Zhengwei Peng · 1×
Citations per year

Countries citing papers authored by David Buttar

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with David Buttar Line = papers co-authored together David Buttar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202511
2 20243
3 202318
4 202210
5 202049
6 2020140
7 20154
8 201227
9 201132
10 20119
11 201074
12 200931
13 20086
14 200117
15 199933
16 199620
17 19927
18 199120
19 199112
20 19908

About David Buttar

David Buttar is a scholar working on Catalysis, Inorganic Chemistry, Computational Theory and Mathematics, Physical and Theoretical Chemistry and Spectroscopy, having authored 31 papers that have together received 830 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (6 papers), Muon and positron interactions and applications (6 papers), Machine Learning in Materials Science (5 papers), Advanced Chemical Physics Studies (4 papers), Ammonia Synthesis and Nitrogen Reduction (3 papers), Crystallography and molecular interactions (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers) and Atomic and Molecular Physics (3 papers). The work is most often cited by research in Computational Theory and Mathematics (233 citations), Physical and Theoretical Chemistry (121 citations), Spectroscopy (128 citations), Materials Chemistry (316 citations) and Organic Chemistry (195 citations). David Buttar has collaborated with scholars based in United Kingdom, Sweden and Singapore. Frequent co-authors include Kjell Jorner, Tore Brinck, Per‐Ola Norrby, Brian Webster, Robert Docherty, J. Starbuck, Simon Boothroyd, Jamshed Anwar, Andrew Kerridge and Anders Broo. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry, Cancer Research, Polymer Chemistry 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.

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