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.
Liquefaction Resistance of Soils from Shear-Wave Velocity
2000634 citationsRonald D. Andrus, Kenneth H. Stokoeprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Kenneth H. Stokoe
Since
Specialization
Citations
This map shows the geographic impact of Kenneth H. Stokoe'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 Kenneth H. Stokoe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenneth H. Stokoe more than expected).
Fields of papers citing papers by Kenneth H. Stokoe
This network shows the impact of papers produced by Kenneth H. Stokoe. 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 Kenneth H. Stokoe. The network helps show where Kenneth H. Stokoe may publish in the future.
Co-authorship network of co-authors of Kenneth H. Stokoe
This figure shows the co-authorship network connecting the top 25 collaborators of Kenneth H. Stokoe.
A scholar is included among the top collaborators of Kenneth H. Stokoe 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 Kenneth H. Stokoe. Kenneth H. Stokoe is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
20 of 20 papers shown
1.
Nam, BooHyun, et al.. (2011). Characterization of Jointed Concrete Pavement Under Daily and Seasonal Temperature Variations Using Rolling Dynamic Deflectometer and Falling Weight Deflectometer Measurements. Transportation Research Board 90th Annual MeetingTransportation Research Board.2 indexed citations
Roësset, José M., et al.. (1995). Response of pavement systems to dynamic loads imposed by nondestructive tests. Transportation Research Record Journal of the Transportation Research Board. 57–67.25 indexed citations
7.
Stokoe, Kenneth H., et al.. (1993). STIFFNESS OF ASPHALT CONCRETE SURFACE LAYER FROM STRESS WAVE MEASUREMENTS. Transportation Research Record Journal of the Transportation Research Board.18 indexed citations
8.
Chang, Der‐Wen, José M. Roësset, & Kenneth H. Stokoe. (1992). NONLINEAR EFFECTS IN FALLING WEIGHT DEFLECTOMETER TESTS. Transportation Research Record Journal of the Transportation Research Board.8 indexed citations
9.
Kim, Dong-Soo & Kenneth H. Stokoe. (1992). CHARACTERIZATION OF RESILIENT MODULUS OF COMPACTED SUBGRADE SOILS USING RESONANT COLUMN AND TORSIONAL SHEAR TESTS (WITH DISCUSSION AND CLOSURE). Transportation Research Record Journal of the Transportation Research Board.22 indexed citations
10.
Kim, Dong-Soo, et al.. (1991). A RELIABLE RESILIENT MODULUS TESTING SYSTEM. Transportation Research Record Journal of the Transportation Research Board.16 indexed citations
11.
Stokoe, Kenneth H., Dong-Soo Kim, & Ronald D. Andrus. (1990). DEVELOPMENT OF SYNTHETIC SPECIMENS FOR CALIBRATION AND EVALUATION OF M SUB R (RESILIENT MODULUS) EQUIPMENT. Transportation Research Record Journal of the Transportation Research Board. 63–71.6 indexed citations
12.
Roësset, José M., et al.. (1990). MODULUS AND THICKNESS OF THE PAVEMENT SURFACE LAYER FROM SASW TESTS. Transportation Research Record Journal of the Transportation Research Board.46 indexed citations
13.
Rix, Glenn J. & Kenneth H. Stokoe. (1989). Stiffness profiling of pavement subgrades. Transportation Research Record Journal of the Transportation Research Board. 1–9.19 indexed citations
14.
Stokoe, Kenneth H., et al.. (1988). Effect of reflected waves in SASW testing of pavements. Transportation Research Record Journal of the Transportation Research Board. 51–61.29 indexed citations
15.
Stokoe, Kenneth H., et al.. (1988). In Situ Seismic Testing of Hard-to-Sample Soils by Surface Wave Method. 264–278.37 indexed citations
16.
Reese, Lymon C. & Kenneth H. Stokoe. (1988). INSTRUMENTATION FOR TESTS OF PILES SUBJECTED TO AXIAL LOADING. Transportation Research Record Journal of the Transportation Research Board. 33–42.1 indexed citations
17.
Nazarian, Soheil, Kenneth H. Stokoe, Robert C. Briggs, & Richard G. Rogers. (1988). Determination of pavement layer thicknesses and moduli by SASW method. Transportation Research Record Journal of the Transportation Research Board. 133–150.20 indexed citations
18.
Roësset, José M., et al.. (1987). ANALYTICAL EVALUATION OF VARIABLES AFFECTING SURFACE WAVE TESTING OF PAVEMENTS.. Transportation Research Record Journal of the Transportation Research Board. 86–95.42 indexed citations
19.
Nazarian, Soheil, Kenneth H. Stokoe, & Robert C. Briggs. (1987). NONDESTRUCTIVELY DELINEATING CHANGES IN MODULUS PROFILES OF SECONDARY ROADS. Transportation Research Record Journal of the Transportation Research Board. 96–107.7 indexed citations
20.
Nazarian, Soheil & Kenneth H. Stokoe. (1984). NONDESTRUCTIVE TESTING OF PAVEMENTS USING SURFACE WAVES. Transportation Research Record Journal of the Transportation Research Board. 67–79.38 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.