Countries citing papers authored by Alistair I McKerchar
Since
Specialization
Citations
This map shows the geographic impact of Alistair I McKerchar'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 Alistair I McKerchar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alistair I McKerchar more than expected).
Fields of papers citing papers by Alistair I McKerchar
This network shows the impact of papers produced by Alistair I McKerchar. 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 Alistair I McKerchar. The network helps show where Alistair I McKerchar may publish in the future.
Co-authorship network of co-authors of Alistair I McKerchar
This figure shows the co-authorship network connecting the top 25 collaborators of Alistair I McKerchar.
A scholar is included among the top collaborators of Alistair I McKerchar 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 Alistair I McKerchar. Alistair I McKerchar is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Singh, Shailesh Kumar, George A. Griffiths, & Alistair I McKerchar. (2018). Towards estimating areal reduction factors for design rainfalls in New Zealand. 57(1). 25.4 indexed citations
Griffiths, George A. & Alistair I McKerchar. (2015). Estimation of low flow statistics at unmonitored sites by correlation of concurrent base flow gaugings. 54(2). 147.2 indexed citations
5.
Griffiths, George A. & Alistair I McKerchar. (2015). Comparison of a deterministic and a statistical model for predicting streamflow recession curves. 54(1). 53.1 indexed citations
6.
Griffiths, George A. & Alistair I McKerchar. (2015). Estimation of flood peak discharge by the slope-area method. 54(2). 153.1 indexed citations
7.
Griffiths, George A., Alistair I McKerchar, & C. P. Pearson. (2014). Towards prediction of extreme rainfalls in New Zealand. 53(1). 41.1 indexed citations
8.
Griffiths, George A. & Alistair I McKerchar. (2012). Estimation of mean annual flood in New Zealand. 51(2). 111.7 indexed citations
9.
Hicks, D. M., et al.. (2011). Suspended Sediment Yields from New Zealand Rivers. 50(1). 81.105 indexed citations
10.
Smart, Graeme & Alistair I McKerchar. (2010). More Flood Disasters in New Zealand. 49(2). 69–78.10 indexed citations
11.
McKerchar, Alistair I, James Renwick, & Jochen Schmidt. (2010). Diminishing Streamflows on the East Coast of the South Island New Zealand and Linkage to Climate Variability and Change. 49(1). 1–14.7 indexed citations
12.
Griffiths, George A. & Alistair I McKerchar. (2010). Recession of Streamflow Supplied from Channel Bed and Bank Storage. 49(2). 99–109.2 indexed citations
13.
Griffiths, George A., C. P. Pearson, & Alistair I McKerchar. (2009). Climate Variability and the Design Flood Problem. 48(1). 29–38.3 indexed citations
14.
Griffiths, George A. & Alistair I McKerchar. (2008). Dependence of Flood Peak Magnitude on Catchment Area. 47(2). 123.8 indexed citations
15.
McKerchar, Alistair I & C. P. Pearson. (2001). Factors causing flooding to be New Zealand's Number One Hazard.1 indexed citations
Pearson, C. P. & Alistair I McKerchar. (1989). Flood Estimation - a Revised Design Procedure. 16(2). 59.1 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.