Bryan Willson

1.8k total citations
50 papers, 1.3k citations indexed

About

Bryan Willson is a scholar working on Fluid Flow and Transfer Processes, Automotive Engineering and Computational Mechanics. According to data from OpenAlex, Bryan Willson has authored 50 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Fluid Flow and Transfer Processes, 14 papers in Automotive Engineering and 12 papers in Computational Mechanics. Recurrent topics in Bryan Willson's work include Advanced Combustion Engine Technologies (23 papers), Combustion and flame dynamics (10 papers) and Vehicle emissions and performance (10 papers). Bryan Willson is often cited by papers focused on Advanced Combustion Engine Technologies (23 papers), Combustion and flame dynamics (10 papers) and Vehicle emissions and performance (10 papers). Bryan Willson collaborates with scholars based in United States, Japan and Switzerland. Bryan Willson's co-authors include Jason C. Quinn, Al Darzins, Daniel R. Bush, Thomas H. Bradley, Morgan DeFoort, Daniel B. Olsen, Anthony J. Marchese, Jessica Tryner, Christian L’Orange and Charles E. Mitchell and has published in prestigious journals such as Environmental Science & Technology, Nature Energy and Optics Letters.

In The Last Decade

Bryan Willson

49 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bryan Willson United States 17 598 371 211 201 196 50 1.3k
Cristina Alonso‐Tristán Spain 20 302 0.5× 320 0.9× 175 0.8× 279 1.4× 185 0.9× 92 1.3k
María–Jesús García-Martínez Spain 21 127 0.2× 352 0.9× 74 0.4× 110 0.5× 264 1.3× 50 1.1k
K. Ramesh India 20 99 0.2× 1.1k 2.9× 145 0.7× 670 3.3× 60 0.3× 80 1.8k
Nicholas C. Surawski Australia 28 209 0.3× 343 0.9× 1.1k 5.4× 431 2.1× 77 0.4× 69 2.0k
Jongtae Lee South Korea 21 110 0.2× 165 0.4× 745 3.5× 367 1.8× 52 0.3× 72 1.2k
Matthew N. Pearlson United States 10 231 0.4× 392 1.1× 61 0.3× 33 0.2× 42 0.2× 12 709
John C. Hewson United States 23 345 0.6× 207 0.6× 464 2.2× 505 2.5× 24 0.1× 74 1.9k
Lisa Graham Canada 15 62 0.1× 132 0.4× 346 1.6× 188 0.9× 126 0.6× 25 798
Hüsamettin Bulut Türkiye 17 269 0.4× 126 0.3× 27 0.1× 104 0.5× 45 0.2× 35 1.0k
Paul Henshaw Canada 17 95 0.2× 140 0.4× 47 0.2× 76 0.4× 103 0.5× 62 1.4k

Countries citing papers authored by Bryan Willson

Since Specialization
Citations

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

Fields of papers citing papers by Bryan Willson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bryan Willson

This figure shows the co-authorship network connecting the top 25 collaborators of Bryan Willson. A scholar is included among the top collaborators of Bryan Willson 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 Bryan Willson. Bryan Willson 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.
Field, John, Samuel G. Evans, Ernie Marx, et al.. (2018). High-resolution techno–ecological modelling of a bioenergy landscape to identify climate mitigation opportunities in cellulosic ethanol production. Nature Energy. 3(3). 211–219. 52 indexed citations
2.
Zimmerle, Daniel, Laurie Williams, Timothy Vaughn, et al.. (2015). Methane Emissions from the Natural Gas Transmission and Storage System in the United States. Environmental Science & Technology. 49(15). 9374–9383. 137 indexed citations
3.
Marchese, Anthony J., et al.. (2014). Influence of chimneys on combustion characteristics of buoyantly driven biomass stoves. Energy Sustainable Development. 23. 286–293. 31 indexed citations
4.
Liu, Isaac, et al.. (2012). Remote Sensing of Fuel Systems Using Real-Time 1D CFD. 605–614. 1 indexed citations
5.
Bond, Craig A., et al.. (2011). Estimation of elasticities for domestic energy demand in Mozambique. Energy Economics. 34(2). 398–409. 48 indexed citations
6.
L’Orange, Christian, Morgan DeFoort, & Bryan Willson. (2011). Influence of testing parameters on biomass stove performance and development of an improved testing protocol. Energy Sustainable Development. 16(1). 3–12. 63 indexed citations
7.
Quinn, Jason C., et al.. (2010). Net Energy and Greenhouse Gas Emissions Evaluation of Biodiesel Derived from Microalgae. Environmental Science & Technology. 45(3). 1160–1160. 6 indexed citations
8.
Quinn, Jason C., et al.. (2010). Net Energy and Greenhouse Gas Emission Evaluation of Biodiesel Derived from Microalgae. Environmental Science & Technology. 44(20). 7975–7980. 259 indexed citations
9.
Gingrich, Jess, Daniel B. Olsen, Paulius V. Puzinauskas, & Bryan Willson. (2006). Precombustion Chamber NOx Emission Contribution to an Industrial Natural Gas Engine. International Journal of Engine Research. 7(1). 41–49. 14 indexed citations
10.
Yalin, Azer P., et al.. (2005). Use of hollow-core fibers to deliver nanosecond Nd:YAG laser pulses to form sparks in gases. Optics Letters. 30(16). 2083–2083. 29 indexed citations
11.
Stanglmaier, Rudolf H., et al.. (2005). A Prediction of Weight Reduction and Performance Improvements Attainable through the use of Fiber Reinforced Composites in I.C. Engines. SAE technical papers on CD-ROM/SAE technical paper series. 1. 2 indexed citations
12.
Olsen, Daniel B., et al.. (2005). Fuel and ignition control methodologies for engines with articulated connecting rods. International Journal of Engine Research. 6(3). 207–214. 5 indexed citations
13.
Willson, Bryan, et al.. (2004). Development of a Compression Pressurized Direct Fuel Injection System for Retrofit to Two-Stroke Engines. SAE technical papers on CD-ROM/SAE technical paper series. 1. 3 indexed citations
14.
Kirkpatrick, A., et al.. (2002). The engine in engineering-development of thermal/fluids web based applications. 2. 744–747. 3 indexed citations
15.
Mitchell, Charles E., et al.. (2001). Analytical and Computational Modeling of High Pressure Gas Injection. 25–32. 2 indexed citations
17.
Puzinauskas, Paulius V., et al.. (2000). Optimization of Natural Gas Combustion in Spark-Ignited Engines Through Manipulation of Intake-Flow Configuration. SAE technical papers on CD-ROM/SAE technical paper series. 1. 8 indexed citations
18.
Willson, Bryan, et al.. (2000). Development of an Externally-Scavenged Direct-Injected Two-Stroke Cycle Engine. SAE technical papers on CD-ROM/SAE technical paper series. 1. 10 indexed citations
19.
Lynch, F.E., et al.. (1995). Hydrogen for Cold Starting and Catalyst Heating in a Methanol Vehicle. SAE technical papers on CD-ROM/SAE technical paper series. 1. 2 indexed citations
20.
Willson, Bryan, et al.. (1987). The Use of Control Volume Analysis and Non-potential Junction Concepts to Model Liquid Piston Engine Dynamics. American Control Conference. 1436–1443. 1 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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