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.
Patterns of Cascading Behavior in Large Blog Graphs
2007366 citationsJure Leskovec, Mary McGlohon 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 Matthew Hurst'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 Matthew Hurst with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Hurst more than expected).
This network shows the impact of papers produced by Matthew Hurst. 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 Matthew Hurst. The network helps show where Matthew Hurst may publish in the future.
Co-authorship network of co-authors of Matthew Hurst
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Hurst.
A scholar is included among the top collaborators of Matthew Hurst 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 Matthew Hurst. Matthew Hurst is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Sayyadi, Hassan, et al.. (2009). Event Detection and Tracking in Social Streams. Proceedings of the International AAAI Conference on Web and Social Media. 3(1). 311–314.171 indexed citations
Adar, Eytan, et al.. (2008). Proceedings of the Second International Conference on Weblogs and Social Media, ICWSM 2008, Seattle, Washington, USA, March 30 - April 2, 2008.1 indexed citations
Hurst, Matthew, M.A. Siegler, & Natalie Glance. (2007). On Estimating The Geographic Distribution Of Social Media.6 indexed citations
9.
Leskovec, Jure, Mary McGlohon, Christos Faloutsos, Natalie Glance, & Matthew Hurst. (2007). Cascading Behavior in Large Blog Graphs.92 indexed citations
10.
Leskovec, Jure, Mary McGlohon, Christos Faloutsos, Natalie Glance, & Matthew Hurst. (2007). Patterns of Cascading Behavior in Large Blog Graphs. 551–556.366 indexed citations breakdown →
11.
Hurst, Matthew. (2006). 24 Hours in the Blogosphere.. National Conference on Artificial Intelligence. 67–72.7 indexed citations
12.
Hurst, Matthew. (2006). Temporal Text Mining.. National Conference on Artificial Intelligence. 73–77.6 indexed citations
13.
Hurst, Matthew. (2005). GIS and the Blogosphere.1 indexed citations
14.
Glance, Natalie, Matthew Hurst, & Takashi Tomokiyo. (2004). BlogPulse: Automated trend discovery for weblogs.70 indexed citations
15.
Nigam, Kamal & Matthew Hurst. (2004). Towards a Robust Metric of Opinion. National Conference on Artificial Intelligence. 93(2409). 211–2.69 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.