John R. Travis

17 papers receiving 328 citations

Peers

John R. Travis
Comparison fields: 5 of 48
  • Safety, Risk, Reliability and Quality 162
  • Statistics, Probability and Uncertainty 101
  • Aerospace Engineering 277
  • Computational Mechanics 119
  • Fluid Flow and Transfer Processes 23
Replace Sergey Kudriakov with:
Sergey Kudriakov France
P. Royl Germany
Shingo Chiba Japan
A. Beccantini France
В. И. Звегинцев Russia
F. Dabbene France
Yu.G. Phylippov Russia
Peter Strakey United States
Gonzalo Jiménez Varas Spain
A. Gavrikov Russia
John R. Travis relative to Sergey Kudriakov France Sergey Kudriakov's profile →
Citations per field
00.5×1.5×2.2×
Sergey Kudriakov · 1×
Citations per year

Countries citing papers authored by John R. Travis

Since Specialization
Citations

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

Fields of papers citing papers by John R. Travis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside John R. Travis, 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 John R. Travis Line = papers co-authored together John R. Travis links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 201771
2 201848
3 197645
4 201742
5 201536
6 201633
7 201322
8 200917
9 201914
10 19988
11 19955
12 20164
13 20194
14 20083
15
Direct numerical simulation and large eddy simulation of a flow at low reynolds number over backward-facing step using the CFD code GASFLOW-MPI
20163
16 20101
17 19941

About John R. Travis

John R. Travis is a scholar working on Aerospace Engineering, Safety, Risk, Reliability and Quality, Computational Mechanics, Environmental Engineering and Ocean Engineering, having authored 17 papers that have together received 357 indexed citations. Recurring topics across this work include Combustion and Detonation Processes (11 papers), Fire dynamics and safety research (6 papers), Combustion and flame dynamics (5 papers), Nuclear Engineering Thermal-Hydraulics (5 papers), Wind and Air Flow Studies (3 papers), Particle Dynamics in Fluid Flows (2 papers), Nuclear Materials and Properties (1 paper) and Fluid Dynamics and Heat Transfer (1 paper). The work is most often cited by research in Safety, Risk, Reliability and Quality (162 citations), Statistics, Probability and Uncertainty (101 citations), Aerospace Engineering (277 citations), Computational Mechanics (119 citations) and Fluid Flow and Transfer Processes (23 citations). John R. Travis has collaborated with scholars based in Germany, United States and South Korea. Frequent co-authors include Jianjun Xiao, М. Кузнецов, Thomas Jordan, Jianjun Xiao, R. Redlinger, Francis H. Harlow, A.A. Amsden, P. Royl, Jongtae Kim and Yabing Li. Their work appears in journals such as International Journal of Hydrogen Energy, Annals of Nuclear Energy, Science, Nuclear Engineering and Design and Science and Technology of Nuclear Installations.

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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