John E. Bussoletti

1.2k citations
36 papers · 1.0k · h-index 15

Impact in

Papers in

John E. Bussoletti

34 papers receiving 948 citations

Peers

John E. Bussoletti
Comparison fields: 5 of 60
  • Computational Mechanics 647
  • Computer Graphics and Computer-Aided Design 53
  • Statistics, Probability and Uncertainty 96
  • Aerospace Engineering 278
  • Applied Mathematics 112
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Countries citing papers authored by John E. Bussoletti

Since Specialization
Citations

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

Fields of papers citing papers by John E. Bussoletti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006339
2 1991158
3 201467
4 198753
5 197246
6 199345
7 198938
8 197730
9 200128
10 197625
11 200922
12
TranAir: A full-potential, solution-adaptive, rectangular grid code for predicting subsonic, transonic, and supersonic flows about arbitrary configurations. User's manual
199221
13 197618
14 198217
15 201116
16 199214
17
A new approach to the solution of boundary value problems involving complex configurations
198614
18 199411
19 20138
20 20038

About John E. Bussoletti

John E. Bussoletti is a scholar working on Computational Mechanics, Atomic and Molecular Physics, and Optics, Aerospace Engineering, Applied Mathematics and Nuclear and High Energy Physics, having authored 36 papers that have together received 1.0k indexed citations. Recurring topics across this work include Computational Fluid Dynamics and Aerodynamics (16 papers), Advanced Numerical Methods in Computational Mathematics (10 papers), Electromagnetic Scattering and Analysis (7 papers), Fluid Dynamics and Turbulent Flows (7 papers), Gas Dynamics and Kinetic Theory (6 papers), Nuclear physics research studies (6 papers), Aerodynamics and Fluid Dynamics Research (5 papers) and Aerodynamics and Acoustics in Jet Flows (4 papers). The work is most often cited by research in Computational Mechanics (647 citations), Computer Graphics and Computer-Aided Design (53 citations), Statistics, Probability and Uncertainty (96 citations), Aerospace Engineering (278 citations) and Applied Mathematics (112 citations). John E. Bussoletti has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include Brenda Kulfan, Forrester T. Johnson, David P. Young, Robin G. Melvin, Michael B. Bieterman, K. A. Snover, Taehyoun Kim, Dmitry S. Kamenetskiy, V. Venkatakrishnan and F. E. Cecil. Their work appears in journals such as Physical Review Letters, Nuclear Physics A, Journal of Computational Physics, AIAA Journal and Journal of Propulsion and Power.

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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