James C. Sutherland

2.2k citations
65 papers · 1.7k indexed · h-index 21

Impact in

Papers in

James C. Sutherland

63 papers receiving 1.7k citations

Peers

James C. Sutherland
Comparison fields: 5 of 115
  • Fluid Flow and Transfer Processes 799
  • Computational Mechanics 1.2k
  • Safety, Risk, Reliability and Quality 276
  • Hardware and Architecture 70
  • Aerospace Engineering 256
Replace Manfred Aigner with:
Manfred Aigner Germany
Ramanan Sankaran United States
Chun Sang Yoo South Korea
Marc Massot France
Venkat Raman United States
Joseph Oefelein United States
Tarek Echekki United States
Joseph F. Grcar United States
Kyle E. Niemeyer United States
Edward E. O’Brien United States
James C. Sutherland relative to Manfred Aigner Germany Manfred Aigner's profile →
Citations per field
00.5×1.5×
Manfred Aigner · 1×
Citations per year

Countries citing papers authored by James C. Sutherland

Since Specialization
Citations

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

Fields of papers citing papers by James C. Sutherland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James C. Sutherland. 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 James C. Sutherland. The network helps show where James C. Sutherland may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20234
3 20236
4 20228
5 20223
6 202213
7 202116
8 202120
9 202113
10 20201
11 20208
12 201610
13 20167
14 20163
15 201610
16 201518
17 20156
18 2014105
19 201080
20 2003142

About James C. Sutherland

James C. Sutherland is a scholar working on Fluid Flow and Transfer Processes, Computational Mechanics, Hardware and Architecture, Numerical Analysis and Safety, Risk, Reliability and Quality, having authored 65 papers that have together received 1.7k indexed citations. Recurring topics across this work include Combustion and flame dynamics (34 papers), Advanced Combustion Engine Technologies (24 papers), Thermochemical Biomass Conversion Processes (10 papers), Parallel Computing and Optimization Techniques (8 papers), Computational Fluid Dynamics and Aerodynamics (8 papers), Distributed and Parallel Computing Systems (7 papers), Fluid Dynamics and Turbulent Flows (5 papers) and Fire dynamics and safety research (5 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (799 citations), Computational Mechanics (1.2k citations), Safety, Risk, Reliability and Quality (276 citations), Hardware and Architecture (70 citations) and Aerospace Engineering (256 citations). James C. Sutherland has collaborated with scholars based in United States, Belgium and Italy. Frequent co-authors include Alessandro Parente, Jacqueline H. Chen, Evatt R. Hawkes, Philip J. Smith, Christopher Kennedy, Ramanan Sankaran, Tony Saad, Leonardo Tognotti, Iain D. Baikie and J. H. Chen. Their work appears in journals such as Combustion and Flame, Proceedings of the Combustion Institute, Combustion Theory and Modelling, Fuel and SoftwareX.

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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