John Parkhill

6.4k citations
31 papers · 1.5k · 1 hit paper · h-index 18

Impact in

Papers in

John Parkhill

31 papers receiving 1.5k citations

John Parkhill's Hit Papers

The TensorMol-0.1 model chemistry: a neural network augmented with long-range physics 2018 · 369 citations
3690+2+5Years since publication100200300

Peers

John Parkhill
Comparison fields: 5 of 72
  • Computational Theory and Mathematics 346
  • Physical and Theoretical Chemistry 182
  • Materials Chemistry 927
  • Atomic and Molecular Physics, and Optics 616
  • Catalysis 74
Replace Nicholas J. Mayhall with:
Nicholas J. Mayhall United States
James McClain United States
Elvira R. Sayfutyarova United States
Sheng Guo China
Anthony D. Dutoi United States
Ka Un Lao United States
Christopher J. Stein Germany
Scott Habershon United Kingdom
Andrea Grisafi Switzerland
Benjamin Meyer Switzerland
John Parkhill relative to Nicholas J. Mayhall United States Nicholas J. Mayhall's profile →
Citations per field
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Citations per year

Countries citing papers authored by John Parkhill

Since Specialization
Citations

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

Fields of papers citing papers by John Parkhill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John Parkhill. 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 John Parkhill. The network helps show where John Parkhill may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The TensorMol-0.1 model chemistry: a neural network augmented with long-range physics
Hit paper breakdown →
2018369
2 2017293
3 2017104
4 2016103
5 201176
6 200961
7 201854
8 201043
9 200840
10 201633
11 201533
12 201732
13 200830
14 201029
15
Orbital optimisation in the perfect pairing hierarchy: applications to full-valence calculations on linear polyacenes
201822
16 201321
17 201819
18 201519
19 201117
20 201716

About John Parkhill

John Parkhill is a scholar working on Atomic and Molecular Physics, and Optics, Materials Chemistry, Computational Theory and Mathematics, Electrical and Electronic Engineering and Spectroscopy, having authored 31 papers that have together received 1.5k indexed citations. Recurring topics across this work include Spectroscopy and Quantum Chemical Studies (14 papers), Advanced Chemical Physics Studies (13 papers), Machine Learning in Materials Science (8 papers), Computational Drug Discovery Methods (7 papers), Solid-state spectroscopy and crystallography (4 papers), Molecular Junctions and Nanostructures (4 papers), Protein Structure and Dynamics (3 papers) and Photochemistry and Electron Transfer Studies (3 papers). The work is most often cited by research in Computational Theory and Mathematics (346 citations), Physical and Theoretical Chemistry (182 citations), Materials Chemistry (927 citations), Atomic and Molecular Physics, and Optics (616 citations) and Catalysis (74 citations). John Parkhill has collaborated with scholars based in United States, Philippines and Germany. Frequent co-authors include Kun Yao, John E. Herr, Martin Head‐Gordon, Sergei Rouvimov, Michael C. Brennan, Masaru Kuno, Jessica Zinna, Sergiu Draguta, Keith V. Lawler and Seth N. Brown. Their work appears in journals such as The Journal of Chemical Physics, The Journal of Physical Chemistry Letters, Journal of Chemical Theory and Computation, Molecular Physics 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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