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.
Fuzzy-Logic-Control Approach of a Modified Hill-Climbing Method for Maximum Power Point in Microgrid Standalone Photovoltaic System
2010518 citationsKhaled H. Ahmed, S.J. Finney et al.IEEE Transactions on Power Electronicsprofile →
Design and Operation of a Hybrid Modular Multilevel Converter
2014357 citationsLie Xu, Liangzhong Yao et al.IEEE Transactions on Power Electronicsprofile →
Improved Control of DFIG Systems During Network Unbalance Using PI–R Current Regulators
2008355 citationsLie Xu, B.W. Williams et al.IEEE Transactions on Industrial Electronicsprofile →
Author Peers
Peers are selected by citation overlap in the author's most active subfields.
citations ·
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This map shows the geographic impact of B.W. Williams'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 B.W. Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites B.W. Williams more than expected).
This network shows the impact of papers produced by B.W. Williams. 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 B.W. Williams. The network helps show where B.W. Williams may publish in the future.
Co-authorship network of co-authors of B.W. Williams
This figure shows the co-authorship network connecting the top 25 collaborators of B.W. Williams.
A scholar is included among the top collaborators of B.W. Williams 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 B.W. Williams. B.W. Williams is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Massoud, Ahmed, et al.. (2019). A T-Type Modular Multilevel Converter. IEEE Journal of Emerging and Selected Topics in Power Electronics. 9(1). 843–857.12 indexed citations
Zhi, Dawei, Lie Xu, B.W. Williams, Liangzhong Yao, & Massoud Bazargan. (2008). A new direct power control strategy for grid connected voltage source converters. Strathprints: The University of Strathclyde institutional repository (University of Strathclyde). 1157–1162.6 indexed citations
15.
He, Xiangning, B.W. Williams, S.J. Finney, & T.C. Green. (2002). Analysis and comparison of a new passive lossless snubber for high frequency converter application. European Conference on Power Electronics and Applications. 344–349.9 indexed citations
16.
Reay, Donald, T.C. Green, & B.W. Williams. (2002). Neural networks used for torque ripple minimisation from a switched reluctance motor. European Conference on Power Electronics and Applications. 1–6.15 indexed citations
17.
Williams, B.W., et al.. (1999). Conducting screen utilization in switched reluctance motors. IEEE Power and Energy Magazine. 19(1). 51.4 indexed citations
18.
Mugnuolo, R., et al.. (1999). Payload Tutor (PAT): A Relocatable Payload Robot for ISS Internal Automation System. ESASP. 433. 137.2 indexed citations
19.
Reay, Donald, T.C. Green, & B.W. Williams. (1993). Minimisation of torque ripple in a switched reluctance motor using a neural network. 224–228.7 indexed citations
20.
Goodfellow, John & B.W. Williams. (1988). A high current, ultrasonic GTO thyristor cathode switch. 91–94.2 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.