W. Gary Mallard

3.4k total citations · 1 hit paper
46 papers, 2.6k citations indexed

About

W. Gary Mallard is a scholar working on Spectroscopy, Biomedical Engineering and Molecular Biology. According to data from OpenAlex, W. Gary Mallard has authored 46 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Spectroscopy, 11 papers in Biomedical Engineering and 10 papers in Molecular Biology. Recurrent topics in W. Gary Mallard's work include Spectroscopy and Laser Applications (12 papers), Metabolomics and Mass Spectrometry Studies (10 papers) and Analytical Chemistry and Chromatography (9 papers). W. Gary Mallard is often cited by papers focused on Spectroscopy and Laser Applications (12 papers), Metabolomics and Mass Spectrometry Studies (10 papers) and Analytical Chemistry and Chromatography (9 papers). W. Gary Mallard collaborates with scholars based in United States, United Kingdom and Russia. W. Gary Mallard's co-authors include Peter J. Linstrom, Kermit C. Smyth, J. Houston Miller, Stephen E. Stein, Wing Tsang, Robert J. Santoro, R. C. Dorfman, Peter K. Schenck, W. C. Gardiner and John M. Halket and has published in prestigious journals such as Journal of the American Chemical Society, The Journal of Chemical Physics and Analytical Chemistry.

In The Last Decade

W. Gary Mallard

46 papers receiving 2.4k citations

Hit Papers

The NIST Chemistry WebBook:  A Chemical Data Resource on ... 2001 2026 2009 2017 2001 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The NIST Chemistry WebBook:  A Chemical Data Resource on the Internet
    2001 748 citations Peter J. Linstrom, W. Gary Mallard profile →

Peers

W. Gary Mallard
Valeri I. Babushok United States
Peter J. Linstrom United States
K. Schofield United States
Johannes Kiefer Germany
Peter J. Dunlop Australia
S. Krishnan Canada
Robert W. Carr United States
Eiichi Fukushima United States
Milton Manes United States
Juan Wang China
Valeri I. Babushok United States
W. Gary Mallard
Citations per year, relative to W. Gary Mallard W. Gary Mallard (= 1×) peers Valeri I. Babushok

Countries citing papers authored by W. Gary Mallard

Since Specialization
Citations

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

Fields of papers citing papers by W. Gary Mallard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of W. Gary Mallard

This figure shows the co-authorship network connecting the top 25 collaborators of W. Gary Mallard. A scholar is included among the top collaborators of W. Gary Mallard 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 W. Gary Mallard. W. Gary Mallard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Moorthy, Arun S., Anthony J. Kearsley, W. Gary Mallard, W.E. Wallace, & Stephen E. Stein. (2023). Inferring the Nominal Molecular Mass of an Analyte from Its Electron Ionization Mass Spectrum. Analytical Chemistry. 95(35). 13132–13139. 5 indexed citations
2.
3.
Moorthy, Arun S., Anthony J. Kearsley, W. Gary Mallard, & W.E. Wallace. (2020). Mass spectral similarity mapping applied to fentanyl analogs. Forensic Chemistry. 19. 100237–100237. 26 indexed citations
4.
Mallard, W. Gary. (2014). AMDIS in the Chemical Weapons Convention. Analytical and Bioanalytical Chemistry. 406(21). 5075–5086. 21 indexed citations
5.
Mallard, W. Gary, et al.. (2014). Creation of Libraries of Recurring Mass Spectra from Large Data Sets Assisted by a Dual-Column Workflow. Analytical Chemistry. 86(20). 10231–10238. 8 indexed citations
6.
7.
Palit, Meehir & W. Gary Mallard. (2011). Dispersive derivatization liquid–liquid extraction of degradation products/precursors of mustards and V-agents from aqueous samples. Journal of Chromatography A. 1218(32). 5393–5400. 17 indexed citations
8.
9.
Babushok, Valeri I., Peter J. Linstrom, И. Г. Зенкевич, et al.. (2007). Development of a database of gas chromatographic retention properties of organic compounds. Journal of Chromatography A. 1157(1-2). 414–421. 181 indexed citations
10.
Halket, John M., et al.. (1999). Deconvolution GC/MS of Urinary Organic Acids {?} Potential for Pattern Recognition and Automated Identification of Metabolic Disorders. Rapid Communications in Mass Spectrometry. 2 indexed citations
11.
Halket, John M., et al.. (1999). Deconvolution gas chromatography/mass spectrometry of urinary organic acids - potential for pattern recognition and automated identification of metabolic disorders. Rapid Communications in Mass Spectrometry. 13(4). 279–284. 185 indexed citations
12.
Miller, J. Houston, et al.. (1988). Soot formation in hydrocarbon diffusion flames. 64(2). 181–3. 1 indexed citations
13.
Miller, J. Houston, W. Gary Mallard, & Kermit C. Smyth. (1988). Chemical production rates of intermediate hydrocarbons in a methane/air diffusion flame. Symposium (International) on Combustion. 21(1). 1057–1065. 10 indexed citations
14.
Smyth, Kermit C., J. Houston Miller, R. C. Dorfman, W. Gary Mallard, & Robert J. Santoro. (1985). Soot inception in a methane/air diffusion flame as characterized by detailed species profiles. Combustion and Flame. 62(2). 157–181. 226 indexed citations
15.
Miller, J. Houston, W. Gary Mallard, & Kermit C. Smyth. (1984). Intermolecular potential calculations for polycyclic aromatic hydrocarbons. The Journal of Physical Chemistry. 88(21). 4963–4970. 50 indexed citations
16.
Mallard, W. Gary, J. Houston Miller, & Kermit C. Smyth. (1983). The n s Rydberg series of 1,3-trans-butadiene observed using multiphoton ionization. The Journal of Chemical Physics. 79(12). 5900–5905. 28 indexed citations
17.
Smyth, Kermit C. & W. Gary Mallard. (1981). Laser-Induced Ionization and Mobility Measurements of Very Small Particles in Premixed Flames at the Sooting Limit. Combustion Science and Technology. 26(1-2). 35–41. 15 indexed citations
18.
Travis, John C., Peter K. Schenck, Gregory C. Turk, & W. Gary Mallard. (1979). Effect of selective laser excitation on the ionization of atomic species in flames. Analytical Chemistry. 51(9). 1516–1520. 57 indexed citations
19.
Schenck, Peter K., W. Gary Mallard, John C. Travis, & Kermit C. Smyth. (1978). Absorption spectra of metal oxides using optogalvanic spectroscopy. The Journal of Chemical Physics. 69(11). 5147–5150. 39 indexed citations
20.
Gardiner, W. C., W. Gary Mallard, & James H. G. Owen. (1974). Rate constant of OH + H2 = H2O + H from 1350 to 1600 K. The Journal of Chemical Physics. 60(6). 2290–2295. 21 indexed citations

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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