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.
Empirical Studies of Programming Knowledge
1984617 citationsElliot Soloway, Kate EhrlichIEEE Transactions on Software Engineeringprofile →
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 Kate Ehrlich'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 Kate Ehrlich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kate Ehrlich more than expected).
This network shows the impact of papers produced by Kate Ehrlich. 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 Kate Ehrlich. The network helps show where Kate Ehrlich may publish in the future.
Co-authorship network of co-authors of Kate Ehrlich
This figure shows the co-authorship network connecting the top 25 collaborators of Kate Ehrlich.
A scholar is included among the top collaborators of Kate Ehrlich 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 Kate Ehrlich. Kate Ehrlich is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
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
4.
Treude, Christoph, Margaret‐Anne Storey, Kate Ehrlich, & Arie van Deursen. (2010). Workshop report from Web2SE. ACM SIGSOFT Software Engineering Notes. 35(5). 45–50.3 indexed citations
Ying, Annie T. T., Peng Cheng, Kate Ehrlich, et al.. (2008). Ensemble. 1–1.21 indexed citations
7.
Cheng, Ping, Sunita Chulani, Yael Dubinsky, et al.. (2008). Jazz as a research platform: experience from the Software Development Governance Group at IBM Research.2 indexed citations
8.
Chess, Catherine A., Kate Ehrlich, Maria Eleftheriou, et al.. (2008). Enhanced Professional Networking and its Impact on Personal Development and Business Success.1 indexed citations
Ehrlich, Kate & Elliot Soloway. (1984). An empirical investigation of the tacit plan knowledge in programming. Ablex Publishing Corp. eBooks. 113–133.86 indexed citations
18.
Soloway, Elliot & Kate Ehrlich. (1984). Empirical Studies of Programming Knowledge. IEEE Transactions on Software Engineering. SE-10(5). 595–609.617 indexed citations breakdown →
19.
Joni, S. A., Elliot Soloway, Robert C. Goldman, & Kate Ehrlich. (1983). Just so stories. ACM SIGCUE Outlook. 17(4). 13–26.9 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.