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.
Sharp increase in central Oklahoma seismicity since 2008 induced by massive wastewater injection
This map shows the geographic impact of B. Bekins'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 B. Bekins with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites B. Bekins more than expected).
This network shows the impact of papers produced by B. Bekins. 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 B. Bekins. The network helps show where B. Bekins may publish in the future.
Co-authorship network of co-authors of B. Bekins
This figure shows the co-authorship network connecting the top 25 collaborators of B. Bekins.
A scholar is included among the top collaborators of B. Bekins 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 B. Bekins. B. Bekins is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Borden, Robert C., et al.. (2015). Extent and Persistence of Secondary Water Quality Impacts after Enhanced Reductive Bioremediation. CTIT technical reports series.1 indexed citations
8.
Köhler, M., et al.. (2015). Identifying and Quantifying Chemical Forms of Sediment-Bound Ferrous Iron.. 2015 AGU Fall Meeting. 2015.1 indexed citations
Bekins, B., Ean Warren, Natasha Sihota, & Frances D. Hostettler. (2012). Use of Temperature and Surface Gas Flux as Novel Measures of Microbial Activity at a Crude Oil Spill Site. AGUFM. 2012.1 indexed citations
11.
Bekins, B., Mary Jo Baedecker, Robert P. Eganhouse, & W. N. Herkelrath. (2011). Long-term natural attenuation of crude oil in the subsurface. IAHS-AISH publication. 123–127.5 indexed citations
Bekins, B., Richard T. Amos, Isabelle M. Cozzarelli, et al.. (2008). Evidence for Anaerobic Methane Oxidation Under Iron-Reducing Conditions in a Crude-Oil Contaminated Aquifer. AGU Fall Meeting Abstracts. 2008.1 indexed citations
14.
Amos, Richard T., B. Bekins, Mary A. Voytek, et al.. (2008). Methane oxidation in a crude oil contaminated aquifer. GeCAS. 72(12).1 indexed citations
15.
Aiello, Ivano W. & B. Bekins. (2008). Milankovitch-scale correlations between deeply-buried microbial populations and biogenic ooze lithology. AGU Fall Meeting Abstracts. 2008.1 indexed citations
16.
Fulton, P. M., D. M. Saffer, & B. Bekins. (2005). Crustal Dehydration and Overpressure Development on the San Andreas Fault. AGUFM. 2005.1 indexed citations
Fulton, P. M., D. M. Saffer, & B. Bekins. (2004). Fluid overpressures on the San Andreas Fault following the passage of the Mendocino Triple Junction. AGU Fall Meeting Abstracts. 2004.1 indexed citations
19.
Stonestrom, David A., et al.. (2003). Measured versus predicted recharge and bromide transport through a sandy soil in the San Joaquin Valley, California. AGUFM. 2003.1 indexed citations
20.
Bekins, B., Isabelle M. Cozzarelli, Ean Warren, & E. Michael Godsy. (2002). Microbial ecology of a crude oil contaminated aquifer.. IAHS-AISH publication. 57–63.4 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.