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.
Global fossil fuel reduction pathways under different climate mitigation strategies and ambitions
2023210 citationsPloy Achakulwisut, Peter Erickson et al.Nature Communicationsprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Peter Erickson
Since
Specialization
Citations
This map shows the geographic impact of Peter Erickson'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 Peter Erickson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Erickson more than expected).
This network shows the impact of papers produced by Peter Erickson. 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 Peter Erickson. The network helps show where Peter Erickson may publish in the future.
Co-authorship network of co-authors of Peter Erickson
This figure shows the co-authorship network connecting the top 25 collaborators of Peter Erickson.
A scholar is included among the top collaborators of Peter Erickson 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 Peter Erickson. Peter Erickson is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Achakulwisut, Ploy, Peter Erickson, Céline Guivarch, et al.. (2023). Global fossil fuel reduction pathways under different climate mitigation strategies and ambitions. Nature Communications. 14(1). 5425–5425.210 indexed citations breakdown →
3.
Erickson, Peter, et al.. (2019). Estimating consumption-based greenhouse gas emissions at the city scale.4 indexed citations
Heaps, Charles, et al.. (2014). Strategies for development of green energy systems in Mongolia.1 indexed citations
11.
Erickson, Peter, et al.. (2014). What impact can local economic development in cities have on global GHG emissions? Assessing the evidence.2 indexed citations
Lazarus, Michael, Eric Kemp‐Benedict, Peter Erickson, & Harro van Asselt. (2013). International Trade and Global Greenhouse Gas Emissions: Could Shifting the Location of Production Bring GHG benefits?.4 indexed citations
Lazarus, Michael & Peter Erickson. (2013). Accounting for Greenhouse Gas Emissions Associated with the Supply of Fossil Fuels.8 indexed citations
17.
Nykvist, Björn, Chelsea Chandler, Peter Erickson, et al.. (2012). Driving technological innovation for a low-carbon society : case studies for solar photovoltaics and carbon capture and storage.3 indexed citations
18.
Lazarus, Michael, Peter Erickson, & Chelsea Chandler. (2012). Reducing Greenhouse Gas Emissions Associated with Consumption: A Methodology for Scenario Analysis.11 indexed citations
19.
Spalding-Fecher, Randall, et al.. (2012). Assessing the Impact of the Clean Development Mechanism.19 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.