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.
Thermochemistry of arene chromium tricarbonyls and the strenghts of arene-chromium bonds
This map shows the geographic impact of Stephen Brown'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 Stephen Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Brown more than expected).
This network shows the impact of papers produced by Stephen Brown. 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 Stephen Brown. The network helps show where Stephen Brown may publish in the future.
Co-authorship network of co-authors of Stephen Brown
This figure shows the co-authorship network connecting the top 25 collaborators of Stephen Brown.
A scholar is included among the top collaborators of Stephen Brown 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 Stephen Brown. Stephen Brown is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Brown, Stephen, Susan W. White, & Nicola Power. (2016). Cluster Analysis of Assessment in Anatomy and Physiology for Health Science Undergraduates.. AUT Scholarly Commons. 28(1). 102–109.6 indexed citations
Malcolm, Alison, Thomas Gallot, Thomas L. Szabo, et al.. (2015). Characterizing the nonlinear interaction of S- and P-waves in a rock sample. Memorial University Research Repository (Memorial University).17 indexed citations
9.
Belk, Russell W., Jagdish N. Sheth, Craig J. Thompson, et al.. (2014). Discipline and liberation in consumption. Sage eBooks.1 indexed citations
Brown, Stephen, et al.. (2010). Optimal Paediatric Cardiac Services in South Africa - What do we Need? Statement of the Paediatric Cardiac Society of South Africa. The Egyptian Heart Journal. 10–16.2 indexed citations
Brown, Stephen, Bénédicte Eyskens, Filip Rega, Bart Meyns, & Marc Gewillig. (2008). Dilatable pulmonary artery banding in infants with low birth weight or complex congenital heart disease allows avoidance or postponement of subsequent surgery : abstract. Cardiovascular journal of South Africa. 11. 6–7.1 indexed citations
15.
Brown, Stephen. (2008). Don’t Try This Offshore. Harvard business review. 86(9). 39–50.1 indexed citations
16.
Shepherd, M. G., et al.. (2006). Instrument Development for Spatial Heterodyne Observations of Water. 36. 3603.3 indexed citations
17.
Brown, Stephen. (2003). On MadonnaS Brand Ambition: Presentation Transcript. ACR European Advances.
18.
Stevens, Lorna, Stephen Brown, & Pauline Maclaran. (2001). The Joys of Text: Women=S Experiential Consumption of Magazines. ACR European Advances.1 indexed citations
19.
Brown, Stephen & Hope Jensen Schau. (2001). Fcuk Consumer Research: on Disgust, Revulsion and Other Forms of Offensive Advertising. ACR European Advances.3 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.