This map shows the geographic impact of T. Doe'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 T. Doe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Doe more than expected).
This network shows the impact of papers produced by T. Doe. 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 T. Doe. The network helps show where T. Doe may publish in the future.
Co-authorship network of co-authors of T. Doe
This figure shows the co-authorship network connecting the top 25 collaborators of T. Doe.
A scholar is included among the top collaborators of T. Doe 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 T. Doe. T. Doe 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.
Kneafsey, Timothy J., Patrick Dobson, Paul Schwering, et al.. (2021). Field Experiments and Model Validation: the EGS Collab Project.2 indexed citations
2.
Ingraham, Mathew, Paul Schwering, Craig Ulrich, et al.. (2020). Analysis of Hydraulic Fracturing on the 4100 Level at the Sanford Underground Research Facility.1 indexed citations
3.
Schwering, Paul, T. Doe, William Roggenthen, et al.. (2020). Deterministic Discrete Fracture Network (DFN) Model for the EGS Collab Project on the 4850 Level of the Sanford Underground Research Facility (SURF). OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).3 indexed citations
4.
Kneafsey, Timothy J., Patrick Dobson, Douglas Blankenship, et al.. (2018). The EGS Collab Project: Stimulation and Simulation. 52nd U.S. Rock Mechanics/Geomechanics Symposium.3 indexed citations
5.
Sone, Hiroki, et al.. (2017). Anisotropic Strength of Poorman Formation Rocks, kISMET Project. 51st U.S. Rock Mechanics/Geomechanics Symposium.2 indexed citations
6.
Doe, T., et al.. (2017). In-Situ Stress Measurement at 1550-Meters Depth at the kISMET Test Site in Lead, S.D.. 51st U.S. Rock Mechanics/Geomechanics Symposium.1 indexed citations
7.
Dershowitz, W., et al.. (2010). A Discrete Fracture Network Approach For Evaluation of Hydraulic Fracture Stimulation of Naturally Fractured Reservoirs.30 indexed citations
8.
Doe, T., et al.. (2006). Well Test Dimension and Fracture Intensity. AGU Fall Meeting Abstracts. 2006.1 indexed citations
Uchida, Masahiro, Atsushi Sawada, Hajime Yamamoto, et al.. (1999). Geological and hydrological investigation and mass transport study in a fractured system at the Kamaishi Mine.2 indexed citations
12.
Doe, T., et al.. (1998). The Problem of Fractures. Groundwater Monitoring & Remediation. 18(1). 74–77.1 indexed citations
13.
Uchida, Masahiro, et al.. (1993). Simulation of Fracture Flow to the Kamaishi Validation Drift. High Level Radioactive Waste Management. 437–442.2 indexed citations
Doe, T., et al.. (1985). Laboratory simulation of hydraulic fracturing stress measurements in salt. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).3 indexed citations
18.
Doe, T.. (1983). IN SITU STRESS MEASUREMENTS AT THE STRIPA MINE, SWEDEN. eScholarship (California Digital Library).5 indexed citations
Doe, T., et al.. (1982). RESULTS AND CONCLUSIONS OF STRESS MEASUREMENTS AT STRIPA. University of North Texas Digital Library (University of North Texas).1 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.