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.
Using Social Media to Enhance Emergency Situation Awareness
2012461 citationsJie Yin, Andrew Lampert et al.IEEE Intelligent Systemsprofile →
Understanding Human Mobility from Twitter
2015440 citationsRaja Jurdak, Kun Zhao et al.PLoS ONEprofile →
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 Mark Cameron'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 Mark Cameron with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Cameron more than expected).
This network shows the impact of papers produced by Mark Cameron. 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 Mark Cameron. The network helps show where Mark Cameron may publish in the future.
Co-authorship network of co-authors of Mark Cameron
This figure shows the co-authorship network connecting the top 25 collaborators of Mark Cameron.
A scholar is included among the top collaborators of Mark Cameron 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 Mark Cameron. Mark Cameron is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Sparks, Ross, Bella Robinson, Robert Power, Mark Cameron, & Sam Woolford. (2016). An investigation into social media syndromic monitoring. Communications in Statistics - Simulation and Computation. 46(8). 5901–5923.8 indexed citations
5.
Power, Robert, et al.. (2015). A Case Study for Monitoring Fires with Twitter.. ISCRAM.5 indexed citations
Delgado‐Fernández, Irene, et al.. (2015). Sefton Coast's vulnerability to coastal flooding using DEM data. Edge Hill University Research Information Repository (Edge Hill University). 15(1). 1–8.2 indexed citations
10.
Yin, Jie, Sarvnaz Karimi, Andrew Lampert, et al.. (2015). Using social media to enhance emergency situation awareness. 4234–4238.39 indexed citations
Yin, Jie, Andrew Lampert, Mark Cameron, Bella Robinson, & Robert Power. (2012). Using Social Media to Enhance Emergency Situation Awareness. IEEE Intelligent Systems. 27(6). 52–59.461 indexed citations breakdown →
16.
Cameron, Mark, et al.. (2011). Birds in Diamantina National Park, Queensland. Australian field ornithology. 28(4). 1.
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.