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.
Distributed Acoustic Sensing Using Dark Fiber for Near-Surface Characterization and Broadband Seismic Event Detection
2019368 citationsJonathan Ajo‐Franklin, Shan Dou et al.profile →
Field testing of fiber-optic distributed acoustic sensing (DAS) for subsurface seismic monitoring
2013353 citationsThomas M. Daley, Barry Freifeld et al.The Leading Edgeprofile →
Fiber‐Optic Network Observations of Earthquake Wavefields
2017340 citationsNathaniel J. Lindsey, Eileen Martin et al.Geophysical Research Lettersprofile →
Distributed Acoustic Sensing for Seismic Monitoring of The Near Surface: A Traffic-Noise Interferometry Case Study
2017340 citationsShan Dou, N. Lindsey et al.profile →
Field testing of modular borehole monitoring with simultaneous distributed acoustic sensing and geophone vertical seismic profiles at Citronelle, Alabama
2015250 citationsThomas M. Daley, Douglas E. Miller et al.Geophysical Prospectingprofile →
Author Peers
Peers are selected by citation overlap in the author's most active subfields.
citations ·
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Countries citing papers authored by Barry Freifeld
Since
Specialization
Citations
This map shows the geographic impact of Barry Freifeld'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 Barry Freifeld with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Barry Freifeld more than expected).
This network shows the impact of papers produced by Barry Freifeld. 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 Barry Freifeld. The network helps show where Barry Freifeld may publish in the future.
Co-authorship network of co-authors of Barry Freifeld
This figure shows the co-authorship network connecting the top 25 collaborators of Barry Freifeld.
A scholar is included among the top collaborators of Barry Freifeld 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 Barry Freifeld. Barry Freifeld is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Lindsey, Nathaniel J., Eileen Martin, Douglas S. Dreger, et al.. (2017). Fiber‐Optic Network Observations of Earthquake Wavefields. Geophysical Research Letters. 44(23).340 indexed citations breakdown →
8.
Dou, Shan, Barry Freifeld, Martyn Dade‐Robertson, et al.. (2017). Processing Approaches for DAS-Enabled Continuous Seismic Monitoring. AGUFM. 2017.1 indexed citations
9.
Freifeld, Barry, Martyn Dade‐Robertson, T. M. Daley, et al.. (2017). Using DAS for reflection seismology - lessons learned from three field studies. eSpace (Curtin University). 2017.1 indexed citations
10.
Lindsey, N., Shan Dou, Barry Freifeld, et al.. (2017). Dark Fiber and Distributed Acoustic Sensing: Applications to Monitoring Seismicity and Near-Surface Properties. AGU Fall Meeting Abstracts. 2017.1 indexed citations
LaForce, Tara, Jonathan Ennis‐King, Chris Boreham, et al.. (2015). Using Noble Gas Tracers to Estimate CO 2 Saturation in the Field: Results from the 2014 CO2CRC Otway Repeat Residual Saturation Test. AGU Fall Meeting Abstracts. 2015.2 indexed citations
13.
Daley, Thomas M., Barry Freifeld, Jonathan Ajo‐Franklin, et al.. (2013). Field testing of fiber-optic distributed acoustic sensing (DAS) for subsurface seismic monitoring. The Leading Edge. 32(6). 699–706.353 indexed citations breakdown →
14.
Freifeld, Barry, Ernie Perkins, Jim Underschultz, & Chris Boreham. (2009). The U-tube sampling methodology and real-time analysis of geofluids. University of North Texas Digital Library (University of North Texas).1 indexed citations
15.
Freifeld, Barry, et al.. (2007). The Distributed Thermal Perturbation Sensor: A New Tool for In Situ Estimation of Formation Thermal Properties and Geothermal Heat Flux. Publication Database GFZ (GFZ German Research Centre for Geosciences). 2007.3 indexed citations
16.
McCallum, Scott D., Tommy J. Phelps, David Riestenberg, Barry Freifeld, & Robert Trautz. (2005). Interpretation of Perfluorocarbon Tracer Data Collected During the Frio Carbon Dioxide Sequestration Test. AGUFM. 2005.5 indexed citations
17.
Kneafsey, Timothy J., Liviu Tomutsa, Charles Taylor, et al.. (2004). Methane hydrate formation and dissociation in a partially saturated sand. Preprints - American Chemical Society. Division of Petroleum Chemistry. 50(1). 33–35.1 indexed citations
18.
Doughty, Christine, Karsten Pruess, Sally M. Benson, Barry Freifeld, & William D. Gunter. (2004). Hydrological and geochemical monitoring for a CO2 sequestration pilot in a brine formation. University of North Texas Digital Library (University of North Texas).5 indexed citations
19.
Freifeld, Barry, Timothy J. Kneafsey, Liviu Tomutsa, Laura A. Stern, & S. H. Kirby. (2002). Use of computed X-ray tomographic data for analyzing the thermodynamics of a dissociating porous sand/hydrate mixture. University of North Texas Digital Library (University of North Texas).2 indexed citations
20.
Freifeld, Barry, et al.. (1995). Reactive transport studies at the Raymond Field Site. High Level Radioactive Waste Management. 91–93.1 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.