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.
A bonded-particle model for rock
20043.9k citationsD.O. Potyondy, Peter CundallInternational Journal of Rock Mechanics and Mining Sciencesprofile →
The synthetic rock mass approach for jointed rock mass modelling
2010441 citationsDiego Mas Ivars, D.O. Potyondy et al.International Journal of Rock Mechanics and Mining Sciencesprofile →
The bonded-particle model as a tool for rock mechanics research and application: current trends and future directions
This map shows the geographic impact of D.O. Potyondy'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 D.O. Potyondy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D.O. Potyondy more than expected).
This network shows the impact of papers produced by D.O. Potyondy. 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 D.O. Potyondy. The network helps show where D.O. Potyondy may publish in the future.
Co-authorship network of co-authors of D.O. Potyondy
This figure shows the co-authorship network connecting the top 25 collaborators of D.O. Potyondy.
A scholar is included among the top collaborators of D.O. Potyondy 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 D.O. Potyondy. D.O. Potyondy is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Potyondy, D.O.. (2018). A Flat-Jointed Bonded-Particle Model for Rock. 52nd U.S. Rock Mechanics/Geomechanics Symposium.9 indexed citations
7.
Potyondy, D.O.. (2017). Simulating Perforation Damage With a Flat-Jointed Bonded-Particle Material. 51st U.S. Rock Mechanics/Geomechanics Symposium.16 indexed citations
8.
Potyondy, D.O., et al.. (2016). Aggregate-Geogrid Interaction Model Incorporating Moisture Effects. Transportation Research Board 95th Annual MeetingTransportation Research Board.1 indexed citations
9.
Potyondy, D.O.. (2015). The bonded-particle model as a tool for rock mechanics research and application: current trends and future directions. Geosystem Engineering. 18(1). 1–28.323 indexed citations breakdown →
10.
Potyondy, D.O.. (2012). A Flat-Jointed Bonded-Particle Material For Hard Rock.128 indexed citations
11.
Potyondy, D.O., et al.. (2012). A Generic Stope Model For Investigation of Fracturing Mechanisms In Deep Gold Mines.2 indexed citations
12.
Potyondy, D.O.. (2012). The Bonded-Particle Model as a Tool for Rock Mechanics Research and Application: Current Trends and Future Directions.9 indexed citations
Potyondy, D.O. & Peter Cundall. (2004). A bonded-particle model for rock. International Journal of Rock Mechanics and Mining Sciences. 41(8). 1329–1364.3881 indexed citations breakdown →
Potyondy, D.O., A.R. Ingraffea, & L. J. Gray. (1992). Simulation of 3D non-planar fatigue crack growth in a turbine blade root. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).5 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.