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.
An open graph visualization system and its applications to software engineering
2000704 citationsEmden R. Gansner, Stephen C. Northprofile →
Author Peers
Peers are selected by citation overlap in the author's most active subfields.
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Countries citing papers authored by Stephen C. North
Since
Specialization
Citations
This map shows the geographic impact of Stephen C. North'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 C. North with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen C. North more than expected).
Fields of papers citing papers by Stephen C. North
This network shows the impact of papers produced by Stephen C. North. 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 C. North. The network helps show where Stephen C. North may publish in the future.
Co-authorship network of co-authors of Stephen C. North
This figure shows the co-authorship network connecting the top 25 collaborators of Stephen C. North.
A scholar is included among the top collaborators of Stephen C. North 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 C. North. Stephen C. North is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Sacha, Dominik, Michael Sedlmair, Leishi Zhang, et al.. (2016). Human-centered machine learning through interactive visualization. Middlesex University Research Repository (Middlesex University Of London). 641–646.13 indexed citations
3.
Sacha, Dominik, Michael Sedlmair, Leishi Zhang, et al.. (2016). Human-centered machine learning through interactive visualization: review and open challenges.. The European Symposium on Artificial Neural Networks.28 indexed citations
4.
Gansner, Emden R., et al.. (2013). A Maxent-Stress Model for Graph Layout. IEEE Transactions on Visualization and Computer Graphics. 19(6). 927–940.39 indexed citations
5.
Mansmann, Florian, Fabian Fischer, Daniel A. Keim, & Stephen C. North. (2007). Visualizing large-scale IP traffic flows. KOPS (University of Konstanz). 23–30.3 indexed citations
Keim, Daniel A., Christian Panse, & Stephen C. North. (2005). Medial-Axis-Based Cartograms. IEEE Computer Graphics and Applications. 25(3). 60–68.28 indexed citations
Keim, Daniel A., Christian Panse, Mike Sips, & Stephen C. North. (2004). Visual Data Mining in Large Geospatial Point Sets. IEEE Computer Graphics and Applications. 24(5). 36–44.47 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.