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.
Characterising performance of environmental models
20121.2k citationsNeil Bennett, Barry Croke et al.profile →
Ten iterative steps in development and evaluation of environmental models
2006841 citationsAnthony J. Jakeman, J.P. Norton et al.profile →
This map shows the geographic impact of J.P. Norton'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 J.P. Norton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J.P. Norton more than expected).
This network shows the impact of papers produced by J.P. Norton. 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 J.P. Norton. The network helps show where J.P. Norton may publish in the future.
Co-authorship network of co-authors of J.P. Norton
This figure shows the co-authorship network connecting the top 25 collaborators of J.P. Norton.
A scholar is included among the top collaborators of J.P. Norton 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 J.P. Norton. J.P. Norton is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Bennett, Neil, Barry Croke, Anthony J. Jakeman, Lachlan Newham, & J.P. Norton. (2010). Performance Evaluation of Environmental Models. ScholarsArchive (Brigham Young University).8 indexed citations
4.
Norton, J.P., et al.. (2007). Efficient Investigation of the Feasible Parameter Set for Large Models. ANU Open Research (Australian National University).3 indexed citations
5.
Norton, J.P.. (2007). Connections and Differences between Covariance-Based and Bound-Based Information Fusion. ANU Open Research (Australian National University).1 indexed citations
6.
Ravalico, J.K., Holger R. Maier, Graeme C. Dandy, J.P. Norton, & Barry Croke. (2005). A comparison of sensitivity analysis techniques for complex models for environmental management. ANU Open Research (Australian National University).27 indexed citations
7.
Norton, J.P., Francis H. S. Chiew, Graeme C. Dandy, & Holger R. Maier. (2005). A parameter-bounding approach to sensitivity assessment of large simulation models. Adelaide Research & Scholarship (AR&S) (University of Adelaide).3 indexed citations
8.
Chanat, Jeffrey G. & J.P. Norton. (2003). Interpreting hydrologic response using transfer function models with time-varying parameters: an example from the Virginia Blue Ridge. ANU Open Research (Australian National University).3 indexed citations
9.
Norton, J.P., et al.. (2000). Predictive Missile Guidance. Journal of Guidance Control and Dynamics. 23(3). 539–546.19 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.