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.
The IEEE Reliability Test System-1996. A report prepared by the Reliability Test System Task Force of the Application of Probability Methods Subcommittee
This map shows the geographic impact of R. Billinton'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 R. Billinton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. Billinton more than expected).
This network shows the impact of papers produced by R. Billinton. 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 R. Billinton. The network helps show where R. Billinton may publish in the future.
Co-authorship network of co-authors of R. Billinton
This figure shows the co-authorship network connecting the top 25 collaborators of R. Billinton.
A scholar is included among the top collaborators of R. Billinton 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 R. Billinton. R. Billinton is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
20 of 20 papers shown
1.
Huang, Dange & R. Billinton. (2010). Power system reinforcement planning considering wind power and load forecast uncertainty using the well-being analysis framework. International Universities Power Engineering Conference. 1–6.3 indexed citations
2.
Billinton, R., et al.. (2008). Aleatory and Epistemic Uncertainty Considerations in Power System Reliability Evaluation. 1–8.31 indexed citations
3.
Billinton, R., et al.. (2008). Reliability Cost/Worth Associated With Wind Energy and Energy Storage Utilization in Electric Power Systems. 1–7.21 indexed citations
4.
Billinton, R., et al.. (2008). A Joint Deterministic - Probabilistic Approach To Bulk System Reliability Assessment. 1–8.10 indexed citations
5.
Wangdee, Wijarn & R. Billinton. (2008). Combined Adequacy and Static Security Considerations in Transmission System Reinforcement. 1–8.2 indexed citations
6.
Billinton, R., et al.. (2007). Application of the Monte Carlo Simulation to Generating System Well-Being Analysis. Tunnelling and Underground Space Technology. 17(2).17 indexed citations
Tran, Thanh Toan, et al.. (2004). Sensitivity analysis of probabilistic reliability evaluation of IEEE MRTS using TRELSS. 76–81.9 indexed citations
10.
Billinton, R. & Yanping Li. (2004). Incorporating multistate unit models in composite system adequacy assessment. 70–75.17 indexed citations
11.
Billinton, R.. (2004). Canadian experience in the collection of transmission and distribution component unavailability data. 268–273.17 indexed citations
12.
Choi, Jaeseok, et al.. (2004). Tie Line Constrained Equivalent Assisting Generator Model (TEAG) Considering Forced Outage Rates of Transmission Systems. 4(2). 91–99.5 indexed citations
13.
Karki, Rajesh, R. Billinton, & G. Bai. (2004). Risk based equivalent wind capacity in power generating systems. 463–469.9 indexed citations
Billinton, R., et al.. (1987). Station-initiated outages in composite-system adequacy evaluation. IEE Proceedings Generation, Transmission and Distribution [see also IEE Proceedings-Generation, Transmission and Distribution]. 134(1). 10–16.18 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.