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.
BioPortal: ontologies and integrated data resources at the click of a mouse
2009556 citationsNigam H. Shah, Clément Jonquet et al.profile →
How do programmers ask and answer questions on the web? (NIER track)
2011296 citationsChristoph Treude, Margaret‐Anne Storey et al.profile →
Work Practices and Challenges in Pull-Based Development: The Integrator's Perspective
2015233 citationsGeorgios Gousios, Margaret‐Anne Storey et al.profile →
Work practices and challenges in pull-based development
2016232 citationsGeorgios Gousios, Margaret‐Anne Storey et al.Zurich Open Repository and Archive (University of Zurich)profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Margaret‐Anne Storey
Since
Specialization
Citations
This map shows the geographic impact of Margaret‐Anne Storey'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 Margaret‐Anne Storey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Margaret‐Anne Storey more than expected).
Fields of papers citing papers by Margaret‐Anne Storey
This network shows the impact of papers produced by Margaret‐Anne Storey. 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 Margaret‐Anne Storey. The network helps show where Margaret‐Anne Storey may publish in the future.
Co-authorship network of co-authors of Margaret‐Anne Storey
This figure shows the co-authorship network connecting the top 25 collaborators of Margaret‐Anne Storey.
A scholar is included among the top collaborators of Margaret‐Anne Storey 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 Margaret‐Anne Storey. Margaret‐Anne Storey is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
20 of 20 papers shown
1.
Abrahão, Silvia, John Grundy, Mauro Pezzè, Margaret‐Anne Storey, & Damian A. Tamburri. (2025). Software Engineering by and for Humans in an AI Era. ACM Transactions on Software Engineering and Methodology. 34(5). 1–46.4 indexed citations
Gousios, Georgios, Margaret‐Anne Storey, & Alberto Bacchelli. (2016). Work practices and challenges in pull-based development. Zurich Open Repository and Archive (University of Zurich). 285–296.232 indexed citations breakdown →
Treude, Christoph, Margaret‐Anne Storey, Kate Ehrlich, & Arie van Deursen. (2010). Proceedings of the 1st Workshop on Web 2.0 for Software Engineering. International Conference on Software Engineering.1 indexed citations
12.
Jonquet, Clément, et al.. (2009). NCBO Annotator: Semantic Annotation of Biomedical Data. SPIRE - Sciences Po Institutional REpository.26 indexed citations
Falconer, Sean M., Natalya F. Noy, & Margaret‐Anne Storey. (2007). Ontology Mapping - a User Survey. 49–60.20 indexed citations
15.
Falconer, Sean M., Natalya F. Noy, & Margaret‐Anne Storey. (2006). Towards understanding the needs of cognitive support. 25–36.
16.
Rubin, Daniel L., Suzanna Lewis, Chris Mungall, et al.. (2006). The National Center for Biomedical Ontology: Advancing Biomedicine through Structured \nOrganization of Scientific Knowledge. eScholarship (California Digital Library).110 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.