William C. Squier

423 total citations
8 papers, 310 citations indexed

About

William C. Squier is a scholar working on Environmental Engineering, Automotive Engineering and Global and Planetary Change. According to data from OpenAlex, William C. Squier has authored 8 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Environmental Engineering, 4 papers in Automotive Engineering and 4 papers in Global and Planetary Change. Recurrent topics in William C. Squier's work include Vehicle emissions and performance (4 papers), Air Quality and Health Impacts (3 papers) and Air Quality Monitoring and Forecasting (3 papers). William C. Squier is often cited by papers focused on Vehicle emissions and performance (4 papers), Air Quality and Health Impacts (3 papers) and Air Quality Monitoring and Forecasting (3 papers). William C. Squier collaborates with scholars based in United States and Ireland. William C. Squier's co-authors include Eben D. Thoma, Halley Brantley, David Lyon, John S. Kinsey, William A. Mitchell, Russell Logan, Jade Young, David A. Balz, Christopher T. Nietch and John A. Harrison and has published in prestigious journals such as Environmental Science & Technology, Energy & Fuels and Ecosystems.

In The Last Decade

William C. Squier

8 papers receiving 296 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
William C. Squier United States	6	209	96	88	68	68	8	310
Aja Ellis United States	7	119 0.6×	77 0.8×	107 1.2×	14 0.2×	80 1.2×	8	224
Shuyan Liu United States	8	244 1.2×	135 1.4×	325 3.7×	17 0.3×	115 1.7×	21	477
Brian D. Drollette United States	7	304 1.5×	86 0.9×	36 0.4×	10 0.1×	101 1.5×	9	457
J. Douglas Goetz United States	9	230 1.1×	76 0.8×	323 3.7×	75 1.1×	271 4.0×	18	507
Xuekun Fang China	12	108 0.5×	66 0.7×	204 2.3×	21 0.3×	161 2.4×	21	385
J. Soltis United States	9	375 1.8×	131 1.4×	234 2.7×	17 0.3×	86 1.3×	14	470
Gregory M. Olson United States	9	73 0.3×	73 0.8×	66 0.8×	41 0.6×	231 3.4×	11	396
T. Newberger United States	7	549 2.6×	97 1.0×	386 4.4×	12 0.2×	64 0.9×	11	603
Ruth M. Purvis United Kingdom	18	417 2.0×	121 1.3×	562 6.4×	71 1.0×	261 3.8×	37	716
H. Tran United States	12	138 0.7×	95 1.0×	208 2.4×	24 0.4×	114 1.7×	22	310

Countries citing papers authored by William C. Squier

Since Specialization

Citations

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

Fields of papers citing papers by William C. Squier

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William C. Squier. 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 William C. Squier. The network helps show where William C. Squier may publish in the future.

Co-authorship network of co-authors of William C. Squier

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

All Works

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8 of 8 papers shown

Kinsey, John S., William C. Squier, Michaël T. Timko, Yuanji Dong, & Russell Logan. (2019). Characterization of the Fine Particle Emissions from the Use of Two Fischer–Tropsch Fuels in a CFM56-2C1 Commercial Aircraft Engine. Energy & Fuels. 33(9). 8821–8834. 11 indexed citations

Beaulieu, Jake J., David A. Balz, John A. Harrison, et al.. (2017). Effects of an Experimental Water-level Drawdown on Methane Emissions from a Eutrophic Reservoir. Ecosystems. 21(4). 657–674. 57 indexed citations

Brantley, Halley, et al.. (2014). Assessment of Methane Emissions from Oil and Gas Production Pads using Mobile Measurements. Environmental Science & Technology. 48(24). 14508–14515. 168 indexed citations

Stevens, William R., et al.. (2013). Measurement of motion corrected wind velocity using an aerostat lofted sonic anemometer. 1 indexed citations

Kinsey, John S., William A. Mitchell, William C. Squier, et al.. (2006). Development of a new mobile laboratory for characterization of the fine particulate emissions from heavy-duty diesel trucks. Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering. 220(3). 335–345. 4 indexed citations

Kinsey, John S., William A. Mitchell, William C. Squier, et al.. (2005). Evaluation of methods for the determination of diesel-generated fine particulate matter: Physical characterization results. Journal of Aerosol Science. 37(1). 63–87. 29 indexed citations

Kinsey, John S., et al.. (2004). Characterization of the Fugitive Particulate Emissions from Construction Mud/Dirt Carryout. Journal of the Air & Waste Management Association. 54(11). 1394–1404. 23 indexed citations

Brown, Jack, et al.. (2002). On-Road Facility to Measure and Characterize Emissions from Heavy-Duty Diesel Vehicles. Journal of the Air & Waste Management Association. 52(4). 388–395. 17 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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