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.
On-demand monitoring of construction projects through a game-like hybrid application of BIM and machine learning
2019217 citationsFarzad Pour Rahimian, Saleh Seyedzadeh et al.Automation in Constructionprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Stephen Oliver
Since
Specialization
Citations
This map shows the geographic impact of Stephen Oliver'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 Stephen Oliver with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Oliver more than expected).
This network shows the impact of papers produced by Stephen Oliver. 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 Stephen Oliver. The network helps show where Stephen Oliver may publish in the future.
Co-authorship network of co-authors of Stephen Oliver
This figure shows the co-authorship network connecting the top 25 collaborators of Stephen Oliver.
A scholar is included among the top collaborators of Stephen Oliver 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 Stephen Oliver. Stephen Oliver is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Oliver, Stephen, Saleh Seyedzadeh, & Farzad Pour Rahimian. (2019). Using real occupancy in retrofit decision-making: Reducing the performance gap in low utilisation higher education buildings. Strathprints: The University of Strathclyde institutional repository (University of Strathclyde).3 indexed citations
Seyedzadeh, Saleh, Farzad Pour Rahimian, Parag Rastogi, et al.. (2019). Multi-objective optimisation for tuning building heating and cooling loads forecasting models. Strathprints: The University of Strathclyde institutional repository (University of Strathclyde).8 indexed citations
8.
Rahimian, Farzad Pour, Saleh Seyedzadeh, Stephen Oliver, Sergio Rodríguez, & Nashwan Dawood. (2019). On-demand monitoring of construction projects through a game-like hybrid application of BIM and machine learning. Automation in Construction. 110. 103012–103012.217 indexed citations breakdown →
9.
Huang, Xiucheng, et al.. (2018). GaN Power ICs and Off-the-Shelf Controllers Enable 150 W, 500 kHz AC-DC with 4x Power Density. 1–4.1 indexed citations
10.
Oliver, Stephen, et al.. (2017). State-of-the-Art GaN Power IC-based 150 W AC-DC Adapter. 1–7.2 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.