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.
Countries citing papers authored by R. D. van der Hilst
Since
Specialization
Citations
This map shows the geographic impact of R. D. van der Hilst'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 R. D. van der Hilst with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. D. van der Hilst more than expected).
Fields of papers citing papers by R. D. van der Hilst
This network shows the impact of papers produced by R. D. van der Hilst. 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 R. D. van der Hilst. The network helps show where R. D. van der Hilst may publish in the future.
Co-authorship network of co-authors of R. D. van der Hilst
This figure shows the co-authorship network connecting the top 25 collaborators of R. D. van der Hilst.
A scholar is included among the top collaborators of R. D. van der Hilst 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 R. D. van der Hilst. R. D. van der Hilst 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.
Yu, Chunquan, Elizabeth Day, & R. D. van der Hilst. (2013). Imaging Upper Mantle Discontinuities with SS precursors: A Comparative Study of the Generalized Radon Transform method and the Common Middle Point Stacking method. AGU Fall Meeting Abstracts. 2013.1 indexed citations
2.
Hansen, S. E., A. Nyblade, M. H. Benoit, S. Burdick, & R. D. van der Hilst. (2010). Connecting the African Superplume to the Anomalous Upper Mantle beneath East Africa and Western Arabia: Results from Adaptively Parameterized P-wave Tomography. AGU Fall Meeting Abstracts. 2010.2 indexed citations
3.
Hilst, R. D. van der, et al.. (2010). Complex plume dynamics in the transition zone underneath the Hawaii hotspot: seismic imaging results. AGUFM. 2010.1 indexed citations
4.
Yao, Heming, et al.. (2010). Adjoint tomography using Green's functions from ambient noise. AGUFM. 2010.1 indexed citations
5.
Hilst, R. D. van der, et al.. (2009). Imaging the Lowermost Mantle Beneath East Asia With (Joint) Inverse Scattering (Generalized Radon Transform) of ScS and SKKS Data. AGUFM. 2009.1 indexed citations
6.
Long, Maureen D., Maarten V. de Hoop, R. D. van der Hilst, & Bradford H. Hager. (2007). Shear wave splitting intensity tomography beneath southwestern Japan and coupling with numerical flow models. AGUFM. 2007.1 indexed citations
7.
Hilst, R. D. van der. (2007). Boldly go deeper into earth. 7. 34–38.
8.
Burdick, S., Maarten V. de Hoop, & R. D. van der Hilst. (2007). Frechet kernels for wave equation reflection tomography on curvilinear coordinates. AGU Fall Meeting Abstracts. 2007.
9.
Lebedev, Sergei & R. D. van der Hilst. (2006). Global Upper-Mantle Tomography With the Automated Multimode Inversion of Surface and S Wave Forms. Publication Database GFZ (GFZ German Research Centre for Geosciences). 2006.
10.
Hoop, Maarten V. de, et al.. (2006). Imaging and characterizing structure in Earth's deep interior. AGU Fall Meeting Abstracts. 2006.1 indexed citations
11.
Long, Maureen D., R. D. van der Hilst, Maarten V. de Hoop, & Bradford H. Hager. (2005). Constraints on Deformation Geometry Beneath Japan From Observations and Models of Seismic Anisotropy. AGU Fall Meeting Abstracts. 2005.1 indexed citations
12.
Lebedev, Sergei & R. D. van der Hilst. (2004). A High-Resolution, Shear-Speed Model of the Upper Mantle. AGU Fall Meeting Abstracts. 2004.1 indexed citations
13.
Kárason, Hrafnkell, et al.. (2003). A New Global Model for 3-D variations in P Wave Speed in Earth's Mantle. AGU Fall Meeting Abstracts. 2003.3 indexed citations
14.
Widiyantoro, Sri, R. D. van der Hilst, & Friedemann Wenzel. (2003). Deformation of the Aegean Slab in the Mantle Transition Zone. AGUFM. 2003.9 indexed citations
15.
Simons, Frederik J. & R. D. van der Hilst. (2002). Structure and Evolution of The Australian Lithosphere. EGSGA. 1073.2 indexed citations
16.
Lebedev, Sergei, Sébastien Chevrot, & R. D. van der Hilst. (2002). The 660-km discontinuity within the subducting NW-Pacifc lithospheric slab. Earth and Planetary Science Letters. 25–35.2 indexed citations
17.
Kárason, Hrafnkell & R. D. van der Hilst. (2001). Mantle P-Wave Speed From Seismic Tomography; Advances in Methodology and Data Integration. AGU Spring Meeting Abstracts. 2001.2 indexed citations
18.
Deal, Michael, Guust Nolet, & R. D. van der Hilst. (1999). Slab temperature and thickness from seismic tomography. Data Archiving and Networked Services (DANS).12 indexed citations
19.
Simons, Frederik J., Alet Zielhuis, & R. D. van der Hilst. (1999). The deep structure of the Australian continent inferred from surface wave tomography. Lithos. 17–43.8 indexed citations
20.
Widiyantoro, Sri & R. D. van der Hilst. (1996). Structure and evolution of subducted lithosphere beneath the Sunda arc, Indonesia. Data Archiving and Networked Services (DANS).12 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.