G. Ben‐Dor

7.3k citations
293 papers · 5.5k · h-index 38

Impact in

Papers in

G. Ben‐Dor

285 papers receiving 5.2k citations

Peers

G. Ben‐Dor
Comparison fields: 5 of 103
  • Computational Mechanics 3.1k
  • Applied Mathematics 1.4k
  • Aerospace Engineering 1.8k
  • Nuclear and High Energy Physics 923
  • Civil and Structural Engineering 1.2k
Replace Richard Saurel with:
Richard Saurel France
A.A. Amsden United States
Zhaoli Guo China
Tariq D. Aslam United States
O. Igra Israel
Rémi Abgrall France
M.R. Baer United States
James D. Walker United States
Jason M. Reese United Kingdom
H. G. Hornung United States
G. Ben‐Dor relative to Richard Saurel France Richard Saurel's profile →
Citations per field
00.5×10.8×
Richard Saurel · 1×
Citations per year

Countries citing papers authored by G. Ben‐Dor

Since Specialization
Citations

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

Fields of papers citing papers by G. Ben‐Dor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G. Ben‐Dor. 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 G. Ben‐Dor. The network helps show where G. Ben‐Dor may publish in the future.

Co-authors

The 25 scholars most cited alongside G. Ben‐Dor, 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 G. Ben‐Dor Line = papers co-authored together G. Ben‐Dor links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 293 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992380
2 1998152
3 1995129
4 2009117
5 2007114
6 200597
7 200181
8 199780
9 197970
10 199968
11 201166
12 199565
13 200660
14 199760
15 198059
16 201259
17 200258
18 199456
19 200956
20 199350

About G. Ben‐Dor

G. Ben‐Dor is a scholar working on Computational Mechanics, Aerospace Engineering, Applied Mathematics, Materials Chemistry and Mechanics of Materials, having authored 293 papers that have together received 5.5k indexed citations. Recurring topics across this work include Computational Fluid Dynamics and Aerodynamics (111 papers), Gas Dynamics and Kinetic Theory (86 papers), Fluid Dynamics and Turbulent Flows (70 papers), High-Velocity Impact and Material Behavior (66 papers), Laser-Plasma Interactions and Diagnostics (57 papers), Energetic Materials and Combustion (45 papers), Combustion and Detonation Processes (44 papers) and Structural Response to Dynamic Loads (44 papers). The work is most often cited by research in Computational Mechanics (3.1k citations), Applied Mathematics (1.4k citations), Aerospace Engineering (1.8k citations), Nuclear and High Energy Physics (923 citations) and Civil and Structural Engineering (1.2k citations). G. Ben‐Dor has collaborated with scholars based in Israel, Japan and Russia. Frequent co-authors include T. Elperin, A. Dubinsky, O. Igra, H. Li, O. Sadot, A. Britan, K. Takayama, Shaul Sorek, A. Chpoun and Avi Levy. Their work appears in journals such as Shock Waves, Journal of Fluid Mechanics, AIAA Journal, Mechanics Based Design of Structures and Machines and Journal of Fluids Engineering.

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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