Douglas E. Longman

2.1k citations
46 papers · 1.7k indexed · h-index 22

Douglas E. Longman

42 papers receiving 1.6k citations

Peers

Douglas E. Longman
Comparison fields: 5 of 56
  • Fluid Flow and Transfer Processes 1.4k
  • Computational Mechanics 1.2k
  • Automotive Engineering 217
  • Biomedical Engineering 658
  • Aerospace Engineering 352
Replace Robert M. McDavid with:
Robert M. McDavid United States
Patrick V. Farrell United States
P.G. Aleiferis United Kingdom
J.M. Pastor Spain
Caroline L. Genzale United States
José M García-Oliver Spain
Riccardo Scarcelli United States
Robert Schießl Germany
Jiangping Tian China
Anders Hultqvist Sweden
Douglas E. Longman relative to Robert M. McDavid United States Robert M. McDavid's profile →
Citations per field
00.5×1.5×2.0×
Robert M. McDavid · 1×
Citations per year

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

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 202137
4 20213
5 202123
6 20200
7 201915
8 201910
9 201576
10 201472
11 201420
12 201320
13 201247
14 201248
15 20120
16 201221
17 201112
18 2010248
19 200936
20 20022

About Douglas E. Longman

Douglas E. Longman is a scholar working on Fluid Flow and Transfer Processes, Computational Mechanics, Automotive Engineering, Biomedical Engineering and Materials Chemistry, having authored 46 papers that have together received 1.7k indexed citations. Recurring topics across this work include Advanced Combustion Engine Technologies (42 papers), Combustion and flame dynamics (25 papers), Biodiesel Production and Applications (22 papers), Vehicle emissions and performance (12 papers), Catalytic Processes in Materials Science (9 papers), Heat transfer and supercritical fluids (7 papers), Combustion and Detonation Processes (3 papers) and Cyclone Separators and Fluid Dynamics (2 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (1.4k citations), Computational Mechanics (1.2k citations), Automotive Engineering (217 citations), Biomedical Engineering (658 citations) and Aerospace Engineering (352 citations). Douglas E. Longman has collaborated with scholars based in United States, India and Italy. Frequent 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. Their work appears in journals such as SAE technical papers on CD-ROM/SAE technical paper series, Fuel, Journal of Engineering for Gas Turbines and Power, Journal of Energy Resources Technology and Combustion Theory and Modelling.

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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