Don Law

460 citations
10 papers · 377 · h-index 5

Impact in

Papers in

Don Law

8 papers receiving 342 citations

Peers

Don Law
Comparison fields: 5 of 23
  • Fluid Flow and Transfer Processes 338
  • Automotive Engineering 175
  • Computational Mechanics 221
  • Biomedical Engineering 113
  • Control and Systems Engineering 51
Replace J.W. Allen with:
J.W. Allen United States
Hiroshi Sono Japan
T. H. Lake United Kingdom
Motoichi Murakami Japan
Matthew J. Roelle United States
Jürgen Willand Germany
Alois Fuerhapter Austria
Brad VanDerWege United States
Erik Doosje Netherlands
Tatsuya Kuboyama Japan
Don Law relative to J.W. Allen United States J.W. Allen's profile →
Citations per field
00.5×1.5×
J.W. Allen · 1×
Citations per year

Countries citing papers authored by Don Law

Since Specialization
Citations

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

Fields of papers citing papers by Don Law

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside Don Law, 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 Don Law Line = papers co-authored together Don Law links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2001226
2 200261
3 200254
4 200222
5 19795
6 19762
7 20012
8
Computational study on the ignition timing of HCCI combustion in IC engines fuelled with methane
20022
9
Homogeneous Charge Compression Ignition combustion and fuel composition
20022
10 20091

About Don Law

Don Law is a scholar working on Fluid Flow and Transfer Processes, Computational Mechanics, Control and Systems Engineering, Automotive Engineering and Biomedical Engineering, having authored 10 papers that have together received 377 indexed citations. Recurring topics across this work include Advanced Combustion Engine Technologies (7 papers), Combustion and flame dynamics (5 papers), Vehicle emissions and performance (2 papers), Real-time simulation and control systems (2 papers), Biodiesel Production and Applications (2 papers), Innovations in Concrete and Construction Materials (1 paper), Metallurgy and Material Forming (1 paper) and Flexible and Reconfigurable Manufacturing Systems (1 paper). The work is most often cited by research in Fluid Flow and Transfer Processes (338 citations), Automotive Engineering (175 citations), Computational Mechanics (221 citations), Biomedical Engineering (113 citations) and Control and Systems Engineering (51 citations). Don Law has collaborated with scholars based in United States, United Kingdom and New Zealand. Frequent co-authors include J.W. Allen, Rui Chen, A. Pugh, James Turner, Steven A. Rogers, Bruno Schneider, Graham Wigley and Stephen Marsland. Their work appears in journals such as SAE technical papers on CD-ROM/SAE technical paper series, Industrial Robot the international journal of robotics research and application, Loughborough University Institutional Repository (Loughborough University) and The Proceedings of the International symposium on diagnostics and modeling of combustion in internal combustion engines.

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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