David Gurney
Impact in
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- Advanced Combustion Engine Technologies
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- Cognitive Radio Networks and Spectrum Sensing
- Wireless Communication Networks Research
Papers in
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- Advanced Combustion Engine Technologies 8
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- Vehicle emissions and performance 4
- Electric and Hybrid Vehicle Technologies 2
- Co-authors
- John Grosspietsch (1 shared paper)G. Buchwald (1 shared paper)Sudeep Bhattarai (3 shared papers)Jeffrey H. Reed (3 shared papers)Jung‐Min Park (3 shared papers)Abid Ullah (3 shared papers)Behnam Bahrak (2 shared papers)Bo Gao (1 shared paper)
- Journals
- SAE technical papers on CD-ROM/SAE technical paper series (6 papers)Minds and Machines (1 paper)MTZ - Motortechnische Zeitschrift (1 paper)MTZ worldwide (1 paper)
- Partner nations
- United StatesAustriaChina
In The Last Decade
David Gurney
14 papers receiving 328 citations
Peers
Comparison fields: 5 of 41
- Fluid Flow and Transfer Processes 57
- Computer Networks and Communications 197
- Automotive Engineering 45
- Electrical and Electronic Engineering 209
- Media Technology 21
Countries citing papers authored by David Gurney
This map shows the geographic impact of David Gurney'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 David Gurney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Gurney more than expected).
Fields of papers citing papers by David Gurney
This network shows the impact of papers produced by David Gurney. 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 David Gurney. The network helps show where David Gurney may publish in the future.
Co-authors
The 12 scholars most cited alongside David Gurney, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 179 | |
| 2 | 2014 | 54 | |
| 3 | 2001 | 30 | |
| 4 | 2015 | 24 | |
| 5 | 2012 | 13 | |
| 6 | 2015 | 12 | |
| 7 | 2005 | 9 | |
| 8 | 2012 | 5 | |
| 9 | 2007 | 5 | |
| 10 | 2012 | 4 | |
| 11 | 2018 | 4 | |
| 12 | 2013 | 4 | |
| 13 | 2005 | 3 | |
| 14 | 2010 | 1 |
About David Gurney
David Gurney is a scholar working on Fluid Flow and Transfer Processes, Automotive Engineering, Control and Systems Engineering, Computer Networks and Communications and Electrical and Electronic Engineering, having authored 14 papers that have together received 347 indexed citations. Recurring topics across this work include Advanced Combustion Engine Technologies (8 papers), Real-time simulation and control systems (5 papers), Vehicle emissions and performance (4 papers), Cognitive Radio Networks and Spectrum Sensing (3 papers), Telecommunications and Broadcasting Technologies (2 papers), Wireless Communication Networks Research (2 papers), Advanced MIMO Systems Optimization (2 papers) and Electric and Hybrid Vehicle Technologies (2 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (57 citations), Computer Networks and Communications (197 citations), Automotive Engineering (45 citations), Electrical and Electronic Engineering (209 citations) and Media Technology (21 citations). David Gurney has collaborated with scholars based in United States, Austria and China. Frequent co-authors include John Grosspietsch, G. Buchwald, Sudeep Bhattarai, Jeffrey H. Reed, Jung‐Min Park, Abid Ullah, Behnam Bahrak, Bo Gao, James Taylor and Marco Warth. Their work appears in journals such as SAE technical papers on CD-ROM/SAE technical paper series, Minds and Machines, MTZ - Motortechnische Zeitschrift and MTZ worldwide.
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.