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.
Coalbed methane sorption related to coal composition
1998484 citationsPeter J. Crosdale, B. B. Beamish et al.International Journal of Coal Geologyprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of B. B. Beamish'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. B. Beamish with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites B. B. Beamish more than expected).
This network shows the impact of papers produced by B. B. Beamish. 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. B. Beamish. The network helps show where B. B. Beamish may publish in the future.
Co-authorship network of co-authors of B. B. Beamish
This figure shows the co-authorship network connecting the top 25 collaborators of B. B. Beamish.
A scholar is included among the top collaborators of B. B. Beamish 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. B. Beamish. B. B. Beamish is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Kizil, Mehmet S., et al.. (2011). Assessment of uncertainty in grade-tonnage curves of a multivariate lateritic bauxite deposit through min/max autocorrelation factor transformation. eSpace (Curtin University). 67–77.1 indexed citations
6.
Li, Lin, Deyi Jiang, & B. B. Beamish. (2010). Calculation of ignition times under adiabatic conditions by activation energy. Meitan xuebao. 35(5). 802–805.5 indexed citations
7.
Beamish, B. B., et al.. (2009). The effect of ageing on coal self-heating rate. Queensland's institutional digital repository (The University of Queensland). 127(2). 129–136.2 indexed citations
8.
Beamish, B. B., et al.. (2009). Self-activation theory of spontaneous combustion of coal. Meitan xuebao. 34(4). 505–508.9 indexed citations
9.
Beamish, B. B., Mehmet S. Kizil, Keith Willey, & Anne Gardner. (2009). Monitoring mining engineering undergraduate perceptions of contribution to group project work. UTS ePRESS (University of Technology Sydney). 318.5 indexed citations
10.
Beamish, B. B., et al.. (2008). Moisture Content Impact on the Self-Heating Rate of a Highly Reactive Subbituminous Coal. Research Online (University of Wollongong).5 indexed citations
11.
Beamish, B. B., et al.. (2006). Self-heating rates of Sydney Basin Coals - The emerging picture. Queensland's institutional digital repository (The University of Queensland). 88(4). 1–8.7 indexed citations
12.
Arısoy, Ahmet, et al.. (2006). Modelling spontaneous combustion of coal. TURKISH JOURNAL OF ENGINEERING AND ENVIRONMENTAL SCIENCES. 30(3). 193–201.19 indexed citations
Beamish, B. B., et al.. (2004). Self-heating of gas-drained coal. 1–12.3 indexed citations
15.
Beamish, B. B., et al.. (2000). Sensitivity of Adiabatic Self-heating Rates. Queensland's institutional digital repository (The University of Queensland).6 indexed citations
Beamish, B. B., et al.. (1991). Long-hole directional drilling applications at Huntly West Mine, New Zealand. Pages.
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.