Douglas E. Longman

2.1k total citations
46 papers, 1.7k citations indexed

About

Douglas E. Longman is a scholar working on Fluid Flow and Transfer Processes, Computational Mechanics and Biomedical Engineering. According to data from OpenAlex, Douglas E. Longman has authored 46 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Fluid Flow and Transfer Processes, 32 papers in Computational Mechanics and 23 papers in Biomedical Engineering. Recurrent topics in Douglas E. Longman's work include Advanced Combustion Engine Technologies (42 papers), Combustion and flame dynamics (25 papers) and Biodiesel Production and Applications (22 papers). Douglas E. Longman is often cited by papers focused on Advanced Combustion Engine Technologies (42 papers), Combustion and flame dynamics (25 papers) and Biodiesel Production and Applications (22 papers). Douglas E. Longman collaborates with scholars based in United States, India and Italy. Douglas E. Longman's co-authors include Sibendu Som, Sudipta Som, Anita I. Ramírez, Tianfeng Lu, Suresh K. Aggarwal, Zhaoyu Luo, Max Plomer, Suresh K. Aggarwal, Surbhi Aggarwal and William J. Pitz and has published in prestigious journals such as Environmental Science & Technology, Applied Energy and Fuel.

In The Last Decade

Douglas E. Longman

42 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Douglas E. Longman United States 22 1.4k 1.2k 658 352 217 46 1.7k
P.G. Aleiferis United Kingdom 26 1.9k 1.3× 1.7k 1.4× 583 0.9× 527 1.5× 476 2.2× 48 2.2k
José M García-Oliver Spain 28 1.9k 1.3× 1.6k 1.4× 553 0.8× 501 1.4× 477 2.2× 104 2.1k
J.M. Pastor Spain 23 1.2k 0.9× 1.0k 0.9× 379 0.6× 223 0.6× 364 1.7× 60 1.4k
Caroline L. Genzale United States 21 1.5k 1.0× 1.3k 1.1× 479 0.7× 286 0.8× 364 1.7× 46 1.7k
Seoksu Moon South Korea 24 944 0.7× 1.1k 0.9× 228 0.3× 198 0.6× 198 0.9× 76 1.4k
Riccardo Scarcelli United States 23 1.3k 0.9× 1.0k 0.9× 303 0.5× 432 1.2× 468 2.2× 96 1.5k
Robert M. McDavid United States 12 1.4k 1.0× 1.1k 1.0× 452 0.7× 421 1.2× 367 1.7× 22 1.7k
Eric Pomraning United States 23 2.2k 1.5× 2.1k 1.8× 406 0.6× 692 2.0× 534 2.5× 51 2.5k
Patrick V. Farrell United States 22 973 0.7× 1.1k 0.9× 394 0.6× 188 0.5× 287 1.3× 66 1.6k
Ming-Chia Lai United States 20 883 0.6× 707 0.6× 322 0.5× 150 0.4× 361 1.7× 70 1.3k

Countries citing papers authored by Douglas E. Longman

Since Specialization
Citations

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

Fields of papers citing papers by Douglas E. Longman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Douglas E. Longman. 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 Douglas E. Longman. The network helps show where Douglas E. Longman may publish in the future.

Co-authorship network of co-authors of Douglas E. Longman

This figure shows the co-authorship network connecting the top 25 collaborators of Douglas E. Longman. A scholar is included among the top collaborators of Douglas E. Longman 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 Douglas E. Longman. Douglas E. Longman 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
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Huo, Ming, et al.. (2025). Experimental Study of Direct-Injection Compression-Ignition Hydrogen Combustion in an Opposed-Piston Two-Stroke (OP2S) Engine. SAE technical papers on CD-ROM/SAE technical paper series. 1.
3.
Kim, Joohan, et al.. (2021). Numerical investigation of a fueled pre-chamber spark-ignition natural gas engine. International Journal of Engine Research. 23(9). 1475–1494. 37 indexed citations
4.
Wijeyakulasuriya, Sameera, et al.. (2021). Development of an Efficient Conjugate Heat Transfer Modeling Framework to Optimize Mixing-Limited Combustion of Ethanol in a Diesel Engine. Journal of Engineering for Gas Turbines and Power. 143(9). 3 indexed citations
5.
Kim, Joohan, et al.. (2021). Assessment of Turbulent Combustion Models for Simulating Prechamber Ignition in a Natural Gas Engine. Journal of Engineering for Gas Turbines and Power. 143(9). 23 indexed citations
6.
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Ou, Longwen, Hao Cai, Hee Je Seong, et al.. (2019). Co-optimization of Heavy-Duty Fuels and Engines: Cost Benefit Analysis and Implications. Environmental Science & Technology. 53(21). 12904–12913. 15 indexed citations
8.
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Ágarwal, Avinash Kumar, Sibendu Som, Pravesh Chandra Shukla, Harsh Goyal, & Douglas E. Longman. (2015). In-nozzle flow and spray characteristics for mineral diesel, Karanja, and Jatropha biodiesels. Applied Energy. 156. 138–148. 76 indexed citations
10.
Xue, Qiang, Michele Battistoni, Christopher F. Powell, et al.. (2014). An Eulerian CFD model and X-ray radiography for coupled nozzle flow and spray in internal combustion engines. International Journal of Multiphase Flow. 70. 77–88. 72 indexed citations
11.
Pei, Yuanjiang, Ruiqin Shan, Sibendu Som, et al.. (2014). Global Sensitivity Analysis of a Diesel Engine Simulation with Multi-Target Functions. SAE technical papers on CD-ROM/SAE technical paper series. 1. 20 indexed citations
12.
Som, Sibendu, Wei Liu, Raghu Sivaramakrishnan, et al.. (2013). Quantum Tunneling Affects Engine Performance. The Journal of Physical Chemistry Letters. 4(12). 2021–2025. 20 indexed citations
13.
Som, Sibendu, Douglas E. Longman, Zhaoyu Luo, et al.. (2012). Simulating Flame Lift-Off Characteristics of Diesel and Biodiesel Fuels Using Detailed Chemical-Kinetic Mechanisms and Large Eddy Simulation Turbulence Model. Journal of Energy Resources Technology. 134(3). 47 indexed citations
14.
Sivaramakrishnan, Raghu, et al.. (2012). Development of a reduced biodiesel surrogate model for compression ignition engine modeling. Proceedings of the Combustion Institute. 34(1). 401–409. 48 indexed citations
15.
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Raju, Mandhapati, Mingjie Wang, P. K. Senecal, Sibendu Som, & Douglas E. Longman. (2012). A Reduced Diesel Surrogate Mechanism for Compression Ignition Engine Applications. 711–722. 21 indexed citations
17.
Som, Sibendu, Douglas E. Longman, Zhaoyu Luo, et al.. (2011). Simulating Flame Lift-Off Characteristics of Diesel and Biodiesel Fuels Using Detailed Chemical-Kinetic Mechanisms and LES Turbulence Model. 871–882. 12 indexed citations
18.
Som, Sibendu, Anita I. Ramírez, Douglas E. Longman, & Suresh K. Aggarwal. (2010). Effect of nozzle orifice geometry on spray, combustion, and emission characteristics under diesel engine conditions. Fuel. 90(3). 1267–1276. 248 indexed citations
19.
Ramírez, Anita I., Sudipta Som, Suresh K. Aggarwal, et al.. (2009). Quantitative X-ray measurements of high-pressure fuel sprays from a production heavy duty diesel injector. Experiments in Fluids. 47(1). 119–134. 36 indexed citations
20.
Foster, David E., et al.. (2002). Modeling the Effects of Late Cycle Oxygen Enrichment on Diesel Engine Combustion and Emissions. SAE technical papers on CD-ROM/SAE technical paper series. 1. 2 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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