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.
Determination of stress orientation and magnitude in deep wells
2003767 citationsMark D. Zoback, Colleen Barton et al.International Journal of Rock Mechanics and Mining Sciencesprofile →
Fluid flow along potentially active faults in crystalline rock
1995713 citationsMark D. Zoback, Daniel Moos et al.profile →
Well bore breakouts and in situ stress
1985612 citationsMark D. Zoback, Daniel Moos et al.Journal of Geophysical Research Atmospheresprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of Daniel Moos'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 Daniel Moos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Moos more than expected).
This network shows the impact of papers produced by Daniel Moos. 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 Daniel Moos. The network helps show where Daniel Moos may publish in the future.
Co-authorship network of co-authors of Daniel Moos
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Moos.
A scholar is included among the top collaborators of Daniel Moos 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 Daniel Moos. Daniel Moos is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Chiaramonte, Laura, et al.. (2017). Influence of Faults and Natural Fractures on Fracture Stimulation in the Vaca Muerta Formation Using Full 3D Modeling. 51st U.S. Rock Mechanics/Geomechanics Symposium.3 indexed citations
3.
Izadi, Ghazal, et al.. (2015). Fully 3D Hydraulic Fracture Growth within Multi-Stage Horizontal Wells.7 indexed citations
4.
Fu, Pengcheng, et al.. (2015). Numerical Investigation of a Hydraulic Fracture Bypassing a Natural Fracture in 3D.15 indexed citations
5.
Izadi, Ghazal, et al.. (2015). Fully 3D Hydraulic Fracturing Model: Optimizing Sequence Fracture Stimulation in Horizontal Wells.8 indexed citations
Barton, Colleen, et al.. (2013). GEOMECHANICALLY COUPLED SIMULATION OF FLOW IN FRACTURED RESERVOIRS. Queensland's institutional digital repository (The University of Queensland). 2012. 689–700.16 indexed citations
9.
Dempsey, David, et al.. (2013). Modeling Shear Stimulation of the Desert Peak EGS Well 27-15 Using a Coupled Thermal-Hydrological-Mechanical Simulator.20 indexed citations
10.
Zee, Wouter van der, et al.. (2012). Finite Element Analysis of Stresses Induced By Gravity In Layered Rock Masses With Different Elastic Moduli.6 indexed citations
Barton, Colleen, Daniel Moos, Pavel Peška, & Mark D. Zoback. (1997). Utilizing Wellbore Image Data To Determine The Complete Stress Tensor: Application To Permeability Anisotropy And Wellbore Stability. The Log analyst. 38(6).41 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.