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.
Health monitoring of civil infrastructures using wireless sensor networks
Countries citing papers authored by Steven D. Glaser
Since
Specialization
Citations
This map shows the geographic impact of Steven D. Glaser'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 Steven D. Glaser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven D. Glaser more than expected).
Fields of papers citing papers by Steven D. Glaser
This network shows the impact of papers produced by Steven D. Glaser. 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 Steven D. Glaser. The network helps show where Steven D. Glaser may publish in the future.
Co-authorship network of co-authors of Steven D. Glaser
This figure shows the co-authorship network connecting the top 25 collaborators of Steven D. Glaser.
A scholar is included among the top collaborators of Steven D. Glaser 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 Steven D. Glaser. Steven D. Glaser is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Sherman, Christopher, J. W. Rector, & Steven D. Glaser. (2013). Elastodynamic Simulation of Tunnel Detection Experiments in Heterogeneous Geological Media.1 indexed citations
11.
Hatzor, Yossef H., et al.. (2011). Climatic Effects On Key-block Motion: Evidence From the Rock Slopes of Masada World Heritage Site.2 indexed citations
12.
Kerkez, Branko, et al.. (2010). Design and development of a wireless sensor network to monitor snow depth in multiple catchments in the American River basin, California: hardware selection and sensor placement techniques. AGU Fall Meeting Abstracts. 2010.1 indexed citations
Kerkez, Branko, M. W. Meadows, Steven D. Glaser, & Roger C. Bales. (2009). The Science of Wireless Sensor Networks: Improving engineered systems through scientific analysis. AGU Fall Meeting Abstracts. 2009.1 indexed citations
15.
Rice, R., Roger C. Bales, M. W. Meadows, et al.. (2009). Design and implementation of a snow measurement network using ground-based wireless networks and space-borne measurements in the American River Basin of California. AGUFM. 2009.1 indexed citations
Moore, Jeffrey R., et al.. (2004). Detecting Seepage Through a Natural Moraine Dam Using the Self-Potential Method. AGU Fall Meeting Abstracts. 2004.1 indexed citations
Glaser, Steven D. & Priscilla P. Nelson. (1992). High-Fidelity Waveform Detection of Acoustic Emissions from Rock Fracture.. Materials Evaluation. 50(3). 354–359.5 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.