Thomas J. Juliano
- Computational Mechanics top 0.5%
- Fluid Dynamics and Turbulent Flows 60
- Computational Fluid Dynamics and Aerodynamics 56
- Combustion and flame dynamics 10
- Applied Mathematics top 1%
- Gas Dynamics and Kinetic Theory 49
- Bioengineering top 2%
- Analytical Chemistry and Sensors 15
- Aerospace Engineering top 2%
- Plasma and Flow Control in Aerodynamics 12
- Aerodynamics and Acoustics in Jet Flows 12
- Ocean Engineering top 5%
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- Advanced Sensor Technologies Research 17
- Co-authors
- Steven P. SchneiderRoger L. KimmelMatthew P. BorgDavid AdamczakJames GregoryJim CraftonJoseph S. JewellStanislav Gordeyev
- Journals
- Journal of Fluid Mechanics (1 paper)AIAA Journal (12 papers)Measurement Science and Technology (2 papers)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Thomas J. Juliano
96 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 46
- Computational Mechanics 1.2k
- Applied Mathematics 564
- Bioengineering 221
- Aerospace Engineering 571
- Ocean Engineering 138
Countries citing papers authored by Thomas J. Juliano
This map shows the geographic impact of Thomas J. Juliano'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 Thomas J. Juliano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas J. Juliano more than expected).
Fields of papers citing papers by Thomas J. Juliano
This network shows the impact of papers produced by Thomas J. Juliano. 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 Thomas J. Juliano. The network helps show where Thomas J. Juliano may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Thomas J. Juliano, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 1 | |
| 6 | 2025 | 0 | |
| 7 | 2024 | 3 | |
| 8 | 2024 | 0 | |
| 9 | 2024 | 0 | |
| 10 | 2024 | 2 | |
| 11 | 2024 | 1 | |
| 12 | 2024 | 3 | |
| 13 | 2022 | 6 | |
| 14 | 2019 | 7 | |
| 15 | 2018 | 3 | |
| 16 | 2018 | 8 | |
| 17 | 2018 | 8 | |
| 18 | 2014 | 34 | |
| 19 | HIFiRE-5 Flight Test Preliminary Results (Postprint) | 2013 | 1 |
| 20 | Nozzle Modifications for High-Reynolds-Number Quiet Flow in the Boeing/AFOSR Mach-6 Quiet Tunnel | 2006 | 9 |
About Thomas J. Juliano
Thomas J. Juliano is a scholar working on Applied Mathematics, Computational Mechanics and Bioengineering, having authored 106 papers that have together received 1.5k indexed citations. Recurring topics across this work include Fluid Dynamics and Turbulent Flows (60 papers), Computational Fluid Dynamics and Aerodynamics (56 papers), Gas Dynamics and Kinetic Theory (49 papers), Advanced Sensor Technologies Research (17 papers), Analytical Chemistry and Sensors (15 papers), Plasma and Flow Control in Aerodynamics (12 papers), Aerodynamics and Acoustics in Jet Flows (12 papers) and Combustion and flame dynamics (10 papers). The work is most often cited by research in Computational Mechanics (1.2k citations), Applied Mathematics (564 citations) and Bioengineering (221 citations). Thomas J. Juliano has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Steven P. Schneider, Roger L. Kimmel, Matthew P. Borg, David Adamczak, James Gregory, Jim Crafton, Joseph S. Jewell, Stanislav Gordeyev, Di Peng and Sergey Fonov. Their work appears in journals such as Journal of Fluid Mechanics, AIAA Journal and Measurement Science and Technology.
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.