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.
Impact of electric vehicles on power distribution networks
2009394 citationsGhanim Putrus, David Johnston et al.profile →
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 Ghanim Putrus'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 Ghanim Putrus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ghanim Putrus more than expected).
This network shows the impact of papers produced by Ghanim Putrus. 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 Ghanim Putrus. The network helps show where Ghanim Putrus may publish in the future.
Co-authorship network of co-authors of Ghanim Putrus
This figure shows the co-authorship network connecting the top 25 collaborators of Ghanim Putrus.
A scholar is included among the top collaborators of Ghanim Putrus 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 Ghanim Putrus. Ghanim Putrus is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Kötter, Richard, Ghanim Putrus, Edward Bentley, et al.. (2020). SEEV4-City approach to KPI Methodology. Northumbria Research Link (Northumbria University).1 indexed citations
6.
Putrus, Ghanim, Richard Kötter, Yue Wang, et al.. (2020). State-of-the-Art Assessment of Smart Charging and Vehicle 2 Grid services. Northumbria Research Link (Northumbria University).2 indexed citations
7.
Kötter, Richard, et al.. (2020). SEEV4-City Policy Recommendations and Roadmap: Recommendations towards integration of transport, urban planning and energy. Northumbria Research Link (Northumbria University).1 indexed citations
Cao, Yue, Houbing Song, Omprakash Kaiwartya, et al.. (2017). Electric Vehicle Charging Recommendation and Enabling ICT Technologies: Recent Advances and Future Directions. Northumbria Research Link (Northumbria University).9 indexed citations
Putrus, Ghanim, et al.. (2011). Generic Photovoltaic System Emulator Based on Lambert ω Function. Northumbria Research Link (Northumbria University).7 indexed citations
15.
Narayana, Mahinsasa & Ghanim Putrus. (2010). Optimal control of wind turbine using neural networks. Northumbria Research Link (Northumbria University).5 indexed citations
16.
Narayana, Mahinsasa, et al.. (2009). Predictive control of wind turbines by considering wind speed forecasting techniques. Northumbria Research Link (Northumbria University). 1–4.13 indexed citations
17.
Putrus, Ghanim, et al.. (2008). Dynamic behaviour of single-phase induction generators during disconnection and reconnection to the grid. Northumbria Research Link (Northumbria University).1 indexed citations
Putrus, Ghanim, Li Ran, & M.M.R. Ahmed. (2001). Improving current sharing between parallel varistors. Northumbria Research Link (Northumbria University).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.