Uriel Goldberg
- Computational Mechanics top 0.5%
- Fluid Dynamics and Turbulent Flows 54
- Computational Fluid Dynamics and Aerodynamics 46
- Lattice Boltzmann Simulation Studies 4
- Applied Mathematics top 1%
- Gas Dynamics and Kinetic Theory 22
- Aerospace Engineering top 1%
- Aerodynamics and Acoustics in Jet Flows 12
- Plasma and Flow Control in Aerodynamics 5
- Environmental Engineering top 5%
- Wind and Air Flow Studies 13
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- Heat Transfer Mechanisms 5
- Co-authors
- Paul BattenSukumar ChakravarthyOshin PeroomianS. R. ChakravarthyM. A. LeschzinerSampath PalaniswamyJ. GórskiBalu Sekar
- Journals
- Journal of Computational Physics (1 paper)Computer Methods in Applied Mechanics and Engineering (2 papers)AIAA Journal (8 papers)
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
Uriel Goldberg
69 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 53
- Computational Mechanics 1.7k
- Applied Mathematics 423
- Aerospace Engineering 982
- Environmental Engineering 308
- Numerical Analysis 29
Countries citing papers authored by Uriel Goldberg
This map shows the geographic impact of Uriel Goldberg'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 Uriel Goldberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Uriel Goldberg more than expected).
Fields of papers citing papers by Uriel Goldberg
This network shows the impact of papers produced by Uriel Goldberg. 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 Uriel Goldberg. The network helps show where Uriel Goldberg may publish in the future.
Co-authorship network
The 18 scholars most cited alongside Uriel Goldberg, 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 | 2017 | 4 | |
| 2 | 2006 | 2 | |
| 3 | 2005 | 7 | |
| 4 | 2004 | 5 | |
| 5 | 2001 | 2 | |
| 6 | 2000 | 0 | |
| 7 | 1998 | 40 | |
| 8 | 1998 | 144 | |
| 9 | 1998 | 92 | |
| 10 | 1998 | 8 | |
| 11 | 1997 | 43 | |
| 12 | 1997 | 31 | |
| 13 | 1997 | 99 | |
| 14 | 1996 | 25 | |
| 15 | 1994 | 31 | |
| 16 | 1993 | 51 | |
| 17 | Computational fluid dynamics capability for the solid fuel ramjet projectile | 1988 | 1 |
| 18 | Prediction of separated flows with a new turbulence model | 1987 | 4 |
| 19 | Separated flow predictions using a new turbulence model | 1987 | 2 |
| 20 | 1985 | 78 |
About Uriel Goldberg
Uriel Goldberg is a scholar working on Computational Mechanics, Applied Mathematics and Environmental Engineering, having authored 72 papers that have together received 1.8k indexed citations. Recurring topics across this work include Fluid Dynamics and Turbulent Flows (54 papers), Computational Fluid Dynamics and Aerodynamics (46 papers), Gas Dynamics and Kinetic Theory (22 papers), Wind and Air Flow Studies (13 papers), Aerodynamics and Acoustics in Jet Flows (12 papers), Heat Transfer Mechanisms (5 papers), Plasma and Flow Control in Aerodynamics (5 papers) and Lattice Boltzmann Simulation Studies (4 papers). The work is most often cited by research in Computational Mechanics (1.7k citations), Applied Mathematics (423 citations) and Aerospace Engineering (982 citations). Uriel Goldberg has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Paul Batten, Sukumar Chakravarthy, Oshin Peroomian, S. R. Chakravarthy, M. A. Leschziner, Sampath Palaniswamy, J. Górski, Balu Sekar, David Apsley and K. SZEMA. Their work appears in journals such as Journal of Computational Physics, Computer Methods in Applied Mechanics and Engineering and AIAA Journal.
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.