Benjamin Lawler

1.9k citations
107 papers · 1.5k indexed · h-index 25

Impact in

Papers in

Benjamin Lawler

98 papers receiving 1.5k citations

Peers

Benjamin Lawler
Comparison fields: 5 of 48
  • Fluid Flow and Transfer Processes 1.2k
  • Computational Mechanics 834
  • Automotive Engineering 435
  • Aerospace Engineering 294
  • Biomedical Engineering 471
Replace Yasuo Moriyoshi with:
Yasuo Moriyoshi Japan
Qing-he Luo China
Enzo Galloni Italy
Anren Yao China
Hyun Kyu Suh South Korea
Alasdair Cairns United Kingdom
Yasuhiro Daisho Japan
Adrian Irimescu Italy
Hugh Blaxill Austria
Tiemin Xuan China
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Citations per field
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Citations per year

Countries citing papers authored by Benjamin Lawler

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin Lawler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
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12 20225
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14 202011
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16 201911
17 201927
18 201868
19 201825
20
A Methodology for Assessing Thermal Stratification in an HCCI Engine and Understanding the Impact of Engine Design and Operating Conditions.
20135

About Benjamin Lawler

Benjamin Lawler is a scholar working on Fluid Flow and Transfer Processes, Computational Mechanics, Automotive Engineering, Aerospace Engineering and Medical Laboratory Technology, having authored 107 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Combustion Engine Technologies (97 papers), Combustion and flame dynamics (64 papers), Biodiesel Production and Applications (23 papers), Catalytic Processes in Materials Science (22 papers), Heat transfer and supercritical fluids (21 papers), Combustion and Detonation Processes (20 papers), Vehicle emissions and performance (12 papers) and Advanced Thermodynamic Systems and Engines (7 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (1.2k citations), Computational Mechanics (834 citations), Automotive Engineering (435 citations), Aerospace Engineering (294 citations) and Biomedical Engineering (471 citations). Benjamin Lawler has collaborated with scholars based in United States, Australia and Austria. Frequent co-authors include Brian Gainey, Ziming Yan, Sotirios Mamalis, Zoran Filipi, Deivanayagam Hariharan, Paul Najt, Orgun Güralp, Brian Kaul, Joshua Lacey and James P. Szybist. Their work appears in journals such as SAE technical papers on CD-ROM/SAE technical paper series, International Journal of Engine Research, Fuel, Journal of Engineering for Gas Turbines and Power and Applied Energy.

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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