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.
Citations per year, relative to Denis Hughes Denis Hughes (= 1×)
peers
Neil R. Viney
Countries citing papers authored by Denis Hughes
Since
Specialization
Citations
This map shows the geographic impact of Denis Hughes'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 Denis Hughes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Denis Hughes more than expected).
This network shows the impact of papers produced by Denis Hughes. 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 Denis Hughes. The network helps show where Denis Hughes may publish in the future.
Co-authorship network of co-authors of Denis Hughes
This figure shows the co-authorship network connecting the top 25 collaborators of Denis Hughes.
A scholar is included among the top collaborators of Denis Hughes 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 Denis Hughes. Denis Hughes is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Trigg, Mark A., Wim Clymans, Suraje Dessai, et al.. (2018). Catchment Hydrology Explorer for Water Stewards (CatchX Platform). EGU General Assembly Conference Abstracts. 9882.1 indexed citations
Mantel, Sukhmani, et al.. (2010). Ecological impacts of small dams on South African rivers Part 1: Drivers of change – water quantity and quality. Water SA. 36(3). 351–360.43 indexed citations
12.
Mantel, Sukhmani, et al.. (2010). Ecological impacts of small dams on South African rivers Part 2: Biotic response - abundance and composition of macroinvertebrate communities. Water SA. 36(3). 361–370.29 indexed citations
13.
Kapangaziwiri, Evison, Denis Hughes, & Thorsten Wagener. (2009). Towards the development of a consistent uncertainty framework for hydrological predictions in South Africa.. IAHS-AISH publication. 84–93.12 indexed citations
14.
Hughes, Denis & Evison Kapangaziwiri. (2007). The use of physical basin properties and runoff generation concepts as an aid to parameter quantification in conceptual type rainfall-runoff models. IAHS-AISH publication. 311–318.1 indexed citations
15.
Hughes, Denis. (2006). An evaluation of the potential use of satellite rainfall data for input to water resource estimation models in southern Africa. IAHS-AISH publication. 75–80.13 indexed citations
16.
Hughes, Denis. (2004). Three decades of hydrological modelling research in South Africa. South African Journal of Science. 100. 638–642.15 indexed citations
17.
Hughes, Denis. (2004). 44. Incorporating Ground water Recharge and Discharge Functions into an Existing Monthly Rain-fall-Runoff Model. Tunnelling and Underground Space Technology. 14(2). 297–311.8 indexed citations
18.
Hughes, Denis, et al.. (2002). Regional water resource assessments in the SADC region. IAHS-AISH publication. 11–18.4 indexed citations
19.
Hughes, Denis. (2002). The development of an information modelling system for regional water resource assessments. IAHS-AISH publication. 43–49.6 indexed citations
20.
Hughes, Denis. (1992). A monthly time step, multiple reservoir water balance simulation model. Water SA. 18(4). 279–286.6 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.