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.
Countries citing papers authored by Donald H. Burn
Since
Specialization
Citations
This map shows the geographic impact of Donald H. Burn'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 Donald H. Burn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Donald H. Burn more than expected).
This network shows the impact of papers produced by Donald H. Burn. 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 Donald H. Burn. The network helps show where Donald H. Burn may publish in the future.
Co-authorship network of co-authors of Donald H. Burn
This figure shows the co-authorship network connecting the top 25 collaborators of Donald H. Burn.
A scholar is included among the top collaborators of Donald H. Burn 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 Donald H. Burn. Donald H. Burn is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Burn, Donald H., et al.. (2017). Automatic Feature Selection and Weighting for the Formation of Homogeneous Groups for Regional Intensity-Duration-Frequency (IDF) Curve Estimation. AGUFM. 2017.1 indexed citations
Hodgkins, Glenn A., Paul H. Whitfield, Donald H. Burn, Jamie Hannaford, & Terry Marsh. (2011). The worldwide status and potential future directions of reference hydrologic networks and their importance in assessing climate driven trends in streamflow. AGUFM. 2011.3 indexed citations
Burn, Donald H., Taha B. M. J. Ouarda, & Chang Shu. (2007). Estimation of extreme flow quantiles and quantile uncertainty for ungauged catchments.. IAHS-AISH publication. 417–424.2 indexed citations
9.
Araghinejad, Shahab & Donald H. Burn. (2006). Probabilistic Forecasting of Hydrological Events Using Geostatistical Analysis. Tunnelling and Underground Space Technology. 16(1).5 indexed citations
10.
Burn, Donald H., et al.. (2004). An Integrated Approach to the Estimation of Streamflow Drought Quantiles. Tunnelling and Underground Space Technology. 15(1). 1011–1024.2 indexed citations
Simonović, Slobodan P., Barbara J. Lence, & Donald H. Burn. (1995). Sustainability criteria: An application to the hydropower industry. IIASA PURE (International Institute of Applied Systems Analysis).4 indexed citations
16.
Burn, Donald H., et al.. (1993). Hydrologic Regionalization Using a Homogeneity Test. 641–646.3 indexed citations
17.
Nagy, Attila, et al.. (1989). Toward an Expert System for Improving the Operations Planning in Manitoba Hydro. 477–480.5 indexed citations
Burn, Donald H.. (1987). Alternative Formulations for Water Quality Management Models. 50–55.3 indexed citations
20.
McBean, Edward A. & Donald H. Burn. (1983). Discussion of "Pollutant Loading Model for Highway Runoff". Journal of Environmental Engineering. 109(6). 1452.1 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.