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.
Combining kohonen maps with arima time series models to forecast traffic flow
Citations per year, relative to Susan Watson Susan Watson (= 1×)
peers
Jingbo Zhou
Countries citing papers authored by Susan Watson
Since
Specialization
Citations
This map shows the geographic impact of Susan Watson'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 Susan Watson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Susan Watson more than expected).
This network shows the impact of papers produced by Susan Watson. 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 Susan Watson. The network helps show where Susan Watson may publish in the future.
Co-authorship network of co-authors of Susan Watson
This figure shows the co-authorship network connecting the top 25 collaborators of Susan Watson.
A scholar is included among the top collaborators of Susan Watson 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 Susan Watson. Susan Watson is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Watson, Susan. (2015). How the Company Became an Entity: A New Understanding of Corporate Law. SSRN Electronic Journal. 120–141.2 indexed citations
6.
Tang, Helen & Susan Watson. (2014). Cognitive Radio Networks for Tactical Wireless Communications.7 indexed citations
7.
Farrar, John, et al.. (2012). Related Party Transactions in New Zealand: An Empirical Study of a Flawed System. SSRN Electronic Journal. 30(2). 110–142.4 indexed citations
8.
Watson, Susan. (2011). Conceptual Confusion: Organs, Agents and Identity in the English Courts. ResearchSpace (University of Auckland). 23. 762.1 indexed citations
9.
Watson, Susan. (2010). The Significance of the Source of the Powers of Boards of Directors in UK Company Law. SSRN Electronic Journal. 597–613.1 indexed citations
10.
Watson, Susan, et al.. (2010). The Link between Corporate Governance and Corruption in New Zealand. SSRN Electronic Journal.14 indexed citations
Watson, Susan, et al.. (2008). Company and securities law in New Zealand. ResearchSpace (University of Auckland).1 indexed citations
13.
Watson, Susan, et al.. (2008). Examining company directors through the Lens of De Facto directorship. ResearchSpace (University of Auckland). 587–626.
14.
Watson, Susan, et al.. (2007). The Foundations of Corporate Governance in New Zealand: A Post-Contractualist View of the Role of Company Directors. SSRN Electronic Journal.2 indexed citations
15.
Watson, Susan, et al.. (2006). The nature of shadow directorship: ad hoc statutory intervention or core company law principle?. ResearchSpace (University of Auckland).2 indexed citations
16.
Watson, Susan, et al.. (2004). Directors' tortious liability - standard chartered bank and the restoration of sanity. Journal of business law. 539–548.
Fowkes, A.S. & Susan Watson. (1989). Sample size determination to evaluate the impact of highway improvements. OpenGrey (Institut de l'Information Scientifique et Technique).2 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.