Adrian T. Wong

19 papers receiving 1.1k citations

Hit Papers

High performance computational chemistry: An overview of ...20002026200820172000200400600

Peers

Adrian T. Wong
Comparison fields: 5 of 103
  • Atomic and Molecular Physics, and Optics 460
  • Materials Chemistry 344
  • Electrical and Electronic Engineering 209
  • Spectroscopy 181
  • Physical and Theoretical Chemistry 168
Replace Ricky A. Kendall with:
Ricky A. Kendall United States
Nathan Luehr United States
Jialin Ju United States
Jeremiah J Wilke United States
Ryan M. Olson United States
Valéry Weber Switzerland
Roberto Olivares‐Amaya United States
A.V. Titov Russia
Debashree Ghosh India
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Adrian T. Wong relative to Ricky A. Kendall United States Ricky A. Kendall's profile →
Citations per field
00.5×3.8×
Ricky A. Kendall · 1×
Citations per year

Countries citing papers authored by Adrian T. Wong

Since Specialization
Citations

This map shows the geographic impact of Adrian T. Wong'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 Adrian T. Wong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adrian T. Wong more than expected).

Fields of papers citing papers by Adrian T. Wong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Adrian T. Wong. 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 Adrian T. Wong. The network helps show where Adrian T. Wong may publish in the future.

Co-authorship network of co-authors of Adrian T. Wong

This figure shows the co-authorship network connecting the top 25 collaborators of Adrian T. Wong. A scholar is included among the top collaborators of Adrian T. Wong based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Adrian T. Wong. Adrian T. Wong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
#WorkIndexed citations
1 21
2
Breaking Through the BIOS Barrier: The Definitive BIOS Optimization Guide for PCs
2
3 11
4
High performance computational chemistry: An overview of NWChem a distributed parallel applicationbreakdown →
638
5
Evaluating system effectiveness in high performance computing systems
4
6 23
7 27
8 42
9 9
10 26
11 61
12 5
13 8
14 17
15 17
16 47
17 62
18 28
19 77

About Adrian T. Wong

Adrian T. Wong is a scholar working on Hardware and Architecture, Spectroscopy and Bioengineering, having authored 19 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Chemical Physics Studies (5 papers), Parallel Computing and Optimization Techniques (4 papers) and Cloud Computing and Resource Management (4 papers). The work is most often cited by research in Physical and Theoretical Chemistry (168 citations), Hardware and Architecture (109 citations) and Atomic and Molecular Physics, and Optics (460 citations). Adrian T. Wong has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Robert J. Harrison, George B. Bacskay, David E. Bernholdt, Jarek Nieplocha, Jeffrey A. Nichols, George I. Fann, Ricky A. Kendall, Edoardo Aprà, Noel S. Hush and Theresa L. Windus. Their work appears in journals such as Journal of the American Chemical Society, Chemical Physics Letters and Journal of Computational Chemistry.

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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