Ivan S. Sandler

1.2k total citations · 1 hit paper
19 papers, 910 citations indexed

About

Ivan S. Sandler is a scholar working on Civil and Structural Engineering, Mechanics of Materials and Computational Mechanics. According to data from OpenAlex, Ivan S. Sandler has authored 19 papers receiving a total of 910 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Civil and Structural Engineering, 6 papers in Mechanics of Materials and 4 papers in Computational Mechanics. Recurrent topics in Ivan S. Sandler's work include Geotechnical and Geomechanical Engineering (4 papers), Computational Fluid Dynamics and Aerodynamics (4 papers) and Soil and Unsaturated Flow (3 papers). Ivan S. Sandler is often cited by papers focused on Geotechnical and Geomechanical Engineering (4 papers), Computational Fluid Dynamics and Aerodynamics (4 papers) and Soil and Unsaturated Flow (3 papers). Ivan S. Sandler collaborates with scholars based in United States. Ivan S. Sandler's co-authors include Frank L. DiMaggio, Donald B. Rubin, Hans H. Bleich, Mohammed Ettouney, M. Rehak and Melvin L. Baron and has published in prestigious journals such as Computer Methods in Applied Mechanics and Engineering, Journal of Applied Mechanics and International Journal of Solids and Structures.

In The Last Decade

Ivan S. Sandler

17 papers receiving 810 citations

Hit Papers

Material Model for Granular Soils 1971 2026 1989 2007 1971 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Material Model for Granular Soils
    1971 422 citations Frank L. DiMaggio, Ivan S. Sandler Journal of the Engineering Mechanics Division profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ivan S. Sandler United States 10 424 339 291 161 125 19 910
G.G.W. Mustoe United States 12 215 0.5× 400 1.2× 196 0.7× 209 1.3× 169 1.4× 41 704
G. R. Abrahamson United States 8 492 1.2× 265 0.8× 147 0.5× 74 0.5× 385 3.1× 18 767
A. F. Fossum United States 17 371 0.9× 723 2.1× 320 1.1× 42 0.3× 181 1.4× 49 1.1k
Jianbo Li China 21 434 1.0× 291 0.9× 284 1.0× 137 0.9× 155 1.2× 68 944
Jean‐Herve Prévost United States 13 515 1.2× 412 1.2× 91 0.3× 111 0.7× 54 0.4× 19 864
H. P. Roßmanith Austria 18 474 1.1× 828 2.4× 189 0.6× 61 0.4× 313 2.5× 99 1.2k
C.M. Wensrich Australia 14 389 0.9× 189 0.6× 339 1.2× 515 3.2× 71 0.6× 45 935
Ralf Peek United States 16 562 1.3× 289 0.9× 293 1.0× 139 0.9× 37 0.3× 48 821
Teerapong Senjuntichai Thailand 20 802 1.9× 825 2.4× 260 0.9× 65 0.4× 167 1.3× 72 1.3k
Sevda Dehkhoda Australia 15 425 1.0× 611 1.8× 195 0.7× 151 0.9× 169 1.4× 23 956

Countries citing papers authored by Ivan S. Sandler

Since Specialization
Citations

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

Fields of papers citing papers by Ivan S. Sandler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ivan S. Sandler. 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 Ivan S. Sandler. The network helps show where Ivan S. Sandler may publish in the future.

Co-authorship network of co-authors of Ivan S. Sandler

This figure shows the co-authorship network connecting the top 25 collaborators of Ivan S. Sandler. A scholar is included among the top collaborators of Ivan S. Sandler based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ivan S. Sandler. Ivan S. Sandler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Sandler, Ivan S.. (2005). Review of the Development of Cap Models for Geomaterials. Shock and Vibration. 12(1). 67–71. 11 indexed citations
2.
Sandler, Ivan S.. (1998). A new computational procedure for wave propagation problems and a new procedure for non-reflecting boundaries. Computer Methods in Applied Mechanics and Engineering. 164(1-2). 223–233. 10 indexed citations
3.
Ettouney, Mohammed, et al.. (1987). Nonlinear Dynamic Slope Stability Analysis. Journal of Geotechnical Engineering. 113(4). 285–298. 19 indexed citations
4.
Rehak, M., Frank L. DiMaggio, & Ivan S. Sandler. (1985). Interactive approximations for a cavitating fluid around a floating structure. Computers & Structures. 21(6). 1159–1175. 6 indexed citations
5.
Sandler, Ivan S., et al.. (1983). Theory of Viscoplastic Shells for Dynamic Response. Journal of Applied Mechanics. 50(1). 131–136. 20 indexed citations
6.
DiMaggio, Frank L., Ivan S. Sandler, & Donald B. Rubin. (1981). Uncoupling Approximations in Fluid-Structure Interaction Problems With Cavitation. Journal of Applied Mechanics. 48(4). 753–756. 14 indexed citations
7.
Sandler, Ivan S., et al.. (1981). Examples of the Use of the Cap Model for Simulating the Stress-Strain Behavior of Soils. 649–710.
8.
Sandler, Ivan S., et al.. (1981). Comparison of Cap Model Predictions with Laboratory Data for Soils. 364–364. 1 indexed citations
9.
Sandler, Ivan S. & Donald B. Rubin. (1979). An algorithm and a modular subroutine for the CAP model. International Journal for Numerical and Analytical Methods in Geomechanics. 3(2). 173–186. 139 indexed citations
10.
Sandler, Ivan S.. (1978). On the Uniqueness and Stability of Endochronic Theories of Material Behavior. Journal of Applied Mechanics. 45(2). 263–266. 51 indexed citations
11.
Sandler, Ivan S., et al.. (1977). Closure to “Generalized Cap Model for Geological Materials”. Journal of the Geotechnical Engineering Division. 103(12). 1461–1461. 1 indexed citations
12.
Sandler, Ivan S., et al.. (1976). Generalized Cap Model for Geological Materials. Journal of the Geotechnical Engineering Division. 102(7). 683–699. 135 indexed citations
13.
Sandler, Ivan S.. (1976). The Cap Model For Static And Dynamic Problems. 4 indexed citations
14.
Baron, Melvin L., et al.. (1973). Influence of Constitutive Models on Ground Motion Predictions. Journal of the Engineering Mechanics Division. 99(6). 1181–1200. 5 indexed citations
15.
Sandler, Ivan S. & Hans H. Bleich. (1972). Stresses in an Elastic Half Space Due to Surface Loads Progressing at the Speed of Rayleigh Waves. Journal of Applied Mechanics. 39(2). 372–377. 1 indexed citations
16.
DiMaggio, Frank L. & Ivan S. Sandler. (1971). Material Model for Granular Soils. Journal of the Engineering Mechanics Division. 97(3). 935–950. 422 indexed citations breakdown →
17.
Baron, Melvin L., et al.. (1971). Investigation of Air Induced Ground Shock Effect Resulting from Various Explosive Sources. Report 2. Influence of Constitutive Models on Ground Motion Predictions.
18.
Bleich, Hans H. & Ivan S. Sandler. (1970). Interaction between structures and bilinear fluids. International Journal of Solids and Structures. 6(5). 617–639. 69 indexed citations
19.
Bleich, Hans H. & Ivan S. Sandler. (1968). DYNAMIC INTERACTION BETWEEN STRUCTURES AND BILINEAR FLUIDS.. 2 indexed citations

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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