This map shows the geographic impact of N. E. Lord'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 N. E. Lord with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N. E. Lord more than expected).
This network shows the impact of papers produced by N. E. Lord. 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 N. E. Lord. The network helps show where N. E. Lord may publish in the future.
Co-authorship network of co-authors of N. E. Lord
This figure shows the co-authorship network connecting the top 25 collaborators of N. E. Lord.
A scholar is included among the top collaborators of N. E. Lord 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 N. E. Lord. N. E. Lord is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Zeng, Xiangfang, Herbert F. Wang, N. E. Lord, et al.. (2018). Seismic imaging with Distributed Acoustic Sensing in an active room-and-pillar mine. EGU General Assembly Conference Abstracts. 10971.1 indexed citations
Fratta, Dante, et al.. (2017). Distributed Acoustic Sensing (DAS) Array near a Highway for Traffic Monitoring and Near-Surface Shear-Wave Velocity Profiles. AGU Fall Meeting Abstracts. 2017.1 indexed citations
Zeng, Xin, et al.. (2017). Field Trial of Distributed Acoustic Sensing in an Active Room-and-Pillar Mine. AGU Fall Meeting Abstracts. 2017.2 indexed citations
7.
Thurber, C. H., et al.. (2017). Active-Source Seismic Tomography at Bradys Geothermal Field, Nevada, with Dense Nodal and Fiber-Optic Seismic Arrays. AGU Fall Meeting Abstracts. 2017.1 indexed citations
8.
Feigl, K. L., J. R. Patterson, Xiangfang Zeng, et al.. (2017). Characterization of Material Properties at Brady Hot Springs, Nevada by Inverse Modeling of Data from Seismology, Geodesy, and Hydrology. AGUFM. 2017.1 indexed citations
Lord, N. E., et al.. (2016). Multispectral Analysis of Surface Wave (MASW) Analysis of Near-Surface Structure at Brady Hot Springs from Active Source and Ambient Noise Using a 8700-meter Distributed Acoustic Sensing (DAS) Array. AGU Fall Meeting Abstracts. 2016.1 indexed citations
Cardiff, Michael, K. L. Feigl, Xiangfang Zeng, et al.. (2016). Overview and Preliminary Results from the PoroTomo project at Brady Hot Springs, Nevada: Poroelastic Tomography by Adjoint Inverse Modeling of Data from Seismology, Geodesy, and Hydrology. AGU Fall Meeting Abstracts. 2016.28 indexed citations
13.
Fratta, Dante, et al.. (2014). Using Distributed Acoustic Sensing (DAS) for Multichannel Analysis of Surface Waves (MASW) to Evaluate Ground Stiffness. AGU Fall Meeting Abstracts. 2014.5 indexed citations
14.
Lord, N. E., et al.. (2014). Field Trial of Distributed Acoustic Sensing Using Active Sources at Garner Valley, California. AGU Fall Meeting Abstracts. 2014.4 indexed citations
15.
Lord, N. E., et al.. (2014). Directivity and Sensitivity of Fiber-Optic Cable Measuring Ground Motion using a Distributed Acoustic Sensing Array. AGU Fall Meeting Abstracts. 2014.4 indexed citations
16.
Thurber, C. H., S. W. Roecker, N. E. Lord, et al.. (2012). Seismic site characterization for the Deep Fault Drilling Project (DFDP), Alpine Fault, New Zealand: Preliminary results from the WIZARD array. AGUFM. 2012.1 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.