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.
Countries citing papers authored by Steven Sorrell
Since
Specialization
Citations
This map shows the geographic impact of Steven Sorrell'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 Steven Sorrell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven Sorrell more than expected).
This network shows the impact of papers produced by Steven Sorrell. 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 Steven Sorrell. The network helps show where Steven Sorrell may publish in the future.
Co-authorship network of co-authors of Steven Sorrell
This figure shows the co-authorship network connecting the top 25 collaborators of Steven Sorrell.
A scholar is included among the top collaborators of Steven Sorrell 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 Steven Sorrell. Steven Sorrell is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Sovacool, Benjamin K., Jonn Axsen, & Steven Sorrell. (2018). Promoting Novelty, Rigor, and Style in Energy Social Science: Towards Codes of Practice for Appropriate Methods and Research Design. SSRN Electronic Journal.2 indexed citations
Chitnis, Mona, Steven Sorrell, Angela Druckman, Steve Firth, & Tim Jackson. (2012). Estimating direct and indirect rebound effects for UKhouseholds. Surrey Research Insight Open Access (The University of Surrey).14 indexed citations
11.
McGlade, Christophe, Jamie Speirs, & Steven Sorrell. (2012). A review of regional and global estimates of unconventional gas resources. Sussex Research Online (University of Sussex).19 indexed citations
12.
Chitnis, Mona, Steven Sorrell, Angela Druckman, & Steven K. Firth. (2012). The rebound effect: to what extent does it vary with income?. Figshare.8 indexed citations
Sorrell, Steven, Jamie Speirs, Roger Bentley, Adam R. Brandt, & Richard G. Miller. (2009). Global oil depletion - an assessment of the evidence for a near-term peak in global oil production. Figshare.103 indexed citations
15.
Sorrell, Steven. (2008). Energy efficiency and sustainable consumption: dealing with the rebound effect. Figshare.11 indexed citations
Sorrell, Steven, et al.. (2006). Energy efficiency and trading. Part one: options for increased trading in the energy efficiency commitment (report to the department for environment, food and rural affairs). Figshare.1 indexed citations
18.
Sorrell, Steven. (2004). Turning an early start into a false start: implications of the EU emissions trading directive for the UK climate change levy and climate change agreements. Figshare.3 indexed citations
19.
Sorrell, Steven, Adrian Smith, Regina Betz, et al.. (2003). Interaction in EU climate policy, final report to DG research under the Framework V project interaction in EU climate policy. Figshare.6 indexed citations
20.
Sorrell, Steven. (2003). Carbon Trading in the Policy Mix. Oxford Review of Economic Policy. 19(3). 420–437.200 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.