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.
Modeling of Load Demand Due to EV Battery Charging in Distribution Systems
20101.0k citationsKejun Qian, Chengke Zhou et al.profile →
Modeling of the Cost of EV Battery Wear Due to V2G Application in Power Systems
2011402 citationsChengke Zhou, Kejun Qian et al.IEEE Transactions on Energy Conversionprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Malcolm Allan'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 Malcolm Allan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Malcolm Allan more than expected).
This network shows the impact of papers produced by Malcolm Allan. 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 Malcolm Allan. The network helps show where Malcolm Allan may publish in the future.
Co-authorship network of co-authors of Malcolm Allan
This figure shows the co-authorship network connecting the top 25 collaborators of Malcolm Allan.
A scholar is included among the top collaborators of Malcolm Allan 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 Malcolm Allan. Malcolm Allan 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.
Umurhan, O. M., et al.. (2019). High resolution digital elevation models of The Devil's Golf Course: a possible terrestrial analog of Europa's surface. AGUFM. 2019.2 indexed citations
Zhou, Chengke, Kejun Qian, Malcolm Allan, & Wenjun Zhou. (2011). Modeling of the Cost of EV Battery Wear Due to V2G Application in Power Systems. IEEE Transactions on Energy Conversion. 26(4). 1041–1050.402 indexed citations breakdown →
Qian, Kejun, Chengke Zhou, Yue Yuan, & Malcolm Allan. (2010). Temperature effect on electric vehicle battery cycle life in Vehicle-to-grid applications. ResearchOnline (Glasgow Caledonian University). 1–6.47 indexed citations
6.
Littlejohn, Allison, et al.. (2010). Creativity in the design disciplines; learning from the practice of experts. ResearchOnline. 2010(1). 1574–1578.1 indexed citations
Allan, Malcolm, C. U. Chisholm, & Margaret Harris. (2009). Using Industry as a Formal Learning Environment - the Knowledge Transfer Partnership.1 indexed citations
Allan, Malcolm & I.J. Kemp. (1993). Commutation strategies for the DC brushless motor. 133–138.2 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.