Paul W. Ayers

21.3k citations
369 papers · 15.7k indexed · 3 hit papers · h-index 64

Impact in

Papers in

Paul W. Ayers

363 papers receiving 15.5k citations

Hit Papers

Conceptual density functional theory: status, prospects, issues 2020 · 302 citations
3022000202620082017250500750

Peers

Paul W. Ayers
Comparison fields: 5 of 144
  • Physical and Theoretical Chemistry 4.1k
  • Atomic and Molecular Physics, and Optics 8.3k
  • Organic Chemistry 5.9k
  • Computational Theory and Mathematics 1.8k
  • Materials Chemistry 4.7k
Replace Frank De Proft with:
Frank De Proft Belgium
Paul Geerlings Belgium
Paul L. A. Popelier United Kingdom
Shubin Liu United States
Pratim Kumar Chattaraj India
Jean‐Philip Piquemal France
Andreas Hansen Germany
Jiali Gao United States
C. David Sherrill United States
Alejandro Toro‐Labbé Chile
Paul W. Ayers relative to Frank De Proft Belgium Frank De Proft's profile →
Citations per field
00.5×2.9×
Frank De Proft · 1×
Citations per year

Countries citing papers authored by Paul W. Ayers

Since Specialization
Citations

This map shows the geographic impact of Paul W. Ayers'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 Paul W. Ayers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul W. Ayers more than expected).

Fields of papers citing papers by Paul W. Ayers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul W. Ayers. 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 Paul W. Ayers. The network helps show where Paul W. Ayers may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Paul W. Ayers, 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 Paul W. Ayers Line = papers co-authored together Paul W. Ayers links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
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13 202041
14 202036
15 202017
16 201712
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19 201723
20 201615

About Paul W. Ayers

Paul W. Ayers is a scholar working on Physical and Theoretical Chemistry, Atomic and Molecular Physics, and Optics, Organic Chemistry, Spectroscopy and Computational Theory and Mathematics, having authored 369 papers that have together received 15.7k indexed citations. Recurring topics across this work include Advanced Chemical Physics Studies (216 papers), Spectroscopy and Quantum Chemical Studies (105 papers), Machine Learning in Materials Science (60 papers), Free Radicals and Antioxidants (51 papers), Crystallography and molecular interactions (45 papers), Chemical Thermodynamics and Molecular Structure (41 papers), Computational Drug Discovery Methods (40 papers) and Molecular Junctions and Nanostructures (39 papers). The work is most often cited by research in Physical and Theoretical Chemistry (4.1k citations), Atomic and Molecular Physics, and Optics (8.3k citations), Organic Chemistry (5.9k citations), Computational Theory and Mathematics (1.8k citations) and Materials Chemistry (4.7k citations). Paul W. Ayers has collaborated with scholars based in Canada, Belgium and United States. Frequent co-authors include Robert G. Parr, Patrick Bultinck, James S. M. Anderson, Mel Levy, Paul Geerlings, Frank De Proft, Dimitri Van Neck, Weitao Yang, Farnaz Heidar‐Zadeh and Ramón Alain Miranda‐Quintana. Their work appears in journals such as The Journal of Chemical Physics, Physical Chemistry Chemical Physics, Theoretical Chemistry Accounts, Journal of Chemical Theory and Computation and The Journal of Physical Chemistry A.

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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