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.
Assessing the impact of urbanization on storm runoff in a peri-urban catchment using historical change in impervious cover
This map shows the geographic impact of J. C. Packman'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. C. Packman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. C. Packman more than expected).
This network shows the impact of papers produced by J. C. Packman. 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. C. Packman. The network helps show where J. C. Packman may publish in the future.
Co-authorship network of co-authors of J. C. Packman
This figure shows the co-authorship network connecting the top 25 collaborators of J. C. Packman.
A scholar is included among the top collaborators of J. C. Packman 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. C. Packman. J. C. Packman is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Sharp, Elaine B., David Butler, David Balmforth, et al.. (2006). Managing the Urban Water Cycle in New Developments. 405.3 indexed citations
4.
Old, Gareth, J. C. Packman, & H. Schölten. (2005). Supporting the European Water Framework Directive: the HarmoniQuA Modelling Support Tool (MoST). Data Archiving and Networked Services (DANS). 2825–2831.1 indexed citations
5.
Old, Gareth, J. C. Packman, & H. Schölten. (2005). Supporting the European Water Framework Directive by enhancing the credibility of modelling studies: the HarmoniQuA Modelling Support Tool (MoST). Congress on Modelling and Simulation. 2825–2831.1 indexed citations
Packman, J. C., et al.. (2004). Catchment flood management planning: catchment modelling for assessing flood risk and mitigation measures.. 466–473.
9.
Old, Gareth, G. J. L. Leeks, J. C. Packman, et al.. (2004). Physical and chemical extremes of the urban river environment: Bradford Beck, UK.. 317–325.1 indexed citations
Packman, J. C.. (2001). Development of a Modelling and Decision Support Framework (MDSF) for catchment flood management planning. Inception report. NERC Open Research Archive (Natural Environment Research Council).1 indexed citations
15.
Packman, J. C., et al.. (1990). Hydrological processes and water management in urban areas..39 indexed citations
16.
Acreman, Mike, et al.. (1990). A Review of Design Flood Estimation Using the FSR Rainfall -runoff Method. OpenGrey (Institut de l'Information Scientifique et Technique).3 indexed citations
17.
Packman, J. C. & Michael Pacione. (1986). Progress in Rural Geography. Geographical Journal. 152(1). 113–113.8 indexed citations
18.
Kidd, C. & J. C. Packman. (1980). Selection of design storm and antecedent condition for urban drainage design. NERC Open Research Archive (Natural Environment Research Council).1 indexed citations
Packman, J. C.. (1980). The effects of urbanisation on flood magnitude and frequency. NERC Open Research Archive (Natural Environment Research Council).13 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.