David R. Noble

3.7k total citations
99 papers, 2.9k citations indexed

About

David R. Noble is a scholar working on Computational Mechanics, Fluid Flow and Transfer Processes and Electrical and Electronic Engineering. According to data from OpenAlex, David R. Noble has authored 99 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Computational Mechanics, 31 papers in Fluid Flow and Transfer Processes and 28 papers in Electrical and Electronic Engineering. Recurrent topics in David R. Noble's work include Combustion and flame dynamics (41 papers), Advanced Combustion Engine Technologies (30 papers) and Lattice Boltzmann Simulation Studies (17 papers). David R. Noble is often cited by papers focused on Combustion and flame dynamics (41 papers), Advanced Combustion Engine Technologies (30 papers) and Lattice Boltzmann Simulation Studies (17 papers). David R. Noble collaborates with scholars based in United States, France and South Korea. David R. Noble's co-authors include J. R. Torczynski, Richard O. Buckius, John G. Georgiadis, Tim Lieuwen, Benjamin K. Cook, John R. Williams, Shiyi Chen, Scott Alan Roberts, Jerry Seitzman and Bradley Trembacki and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Journal of The Electrochemical Society and Water Resources Research.

In The Last Decade

David R. Noble

90 papers receiving 2.8k citations

Peers

David R. Noble
Comparison fields: 5 of 91
  • Computational Mechanics 2.2k
  • Electrical and Electronic Engineering 991
  • Fluid Flow and Transfer Processes 641
  • Aerospace Engineering 357
  • Automotive Engineering 292
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Citations per field, relative to David R. Noble
David R. Noble · 1×
Citations per year, relative to David R. Noble
David R. Noble · 1×

Countries citing papers authored by David R. Noble

Since Specialization
Citations

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

Fields of papers citing papers by David R. Noble

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David R. Noble. 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 R. Noble. The network helps show where David R. Noble may publish in the future.

Co-authorship network of co-authors of David R. Noble

This figure shows the co-authorship network connecting the top 25 collaborators of David R. Noble. A scholar is included among the top collaborators of David R. Noble 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 David R. Noble. David R. Noble 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
# Work Indexed citations
1 2
2 2
3 1
4 0
5 2
6 0
7 0
8 1
9 1
10 75
11
Modeling of Thermal Battery Initiation Using Level Sets.
0
12 3
13 1
14 108
15 2
16 1
17
Contact Angle Specification in Level Set Simulations
1
18 5
19 1
20 281

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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