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.
Software Function, Source Lines of Code, and Development Effort Prediction: A Software Science Validation
19831.1k citationsJohn E. Gaffney et al.IEEE Transactions on Software Engineeringprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by John E. Gaffney
Since
Specialization
Citations
This map shows the geographic impact of John E. Gaffney'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 John E. Gaffney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John E. Gaffney more than expected).
This network shows the impact of papers produced by John E. Gaffney. 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 John E. Gaffney. The network helps show where John E. Gaffney may publish in the future.
Co-authorship network of co-authors of John E. Gaffney
This figure shows the co-authorship network connecting the top 25 collaborators of John E. Gaffney.
A scholar is included among the top collaborators of John E. Gaffney 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 John E. Gaffney. John E. Gaffney 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.
Gan, Wang, Ricardo Valerdi, & John E. Gaffney. (2009). Harmonizing Systems and Software Cost Estimation. DSpace@MIT (Massachusetts Institute of Technology). 232–252.1 indexed citations
Ulvila, Jacob W. & John E. Gaffney. (2003). Evaluation of intrusion detection systems. Journal of Research of the National Institute of Standards and Technology. 108(6). 453–453.32 indexed citations
Gaffney, John E., et al.. (1992). Process Engineering with the Evolutionary Spiral Process Model. Version 01.00.01. Defense Technical Information Center (DTIC).1 indexed citations
Barnes, Bruce H., et al.. (1988). A framework and economic foundation for software reuse. IEEE Computer Society Press eBooks. 77–88.22 indexed citations
14.
Gaffney, John E. & Silvano Martello. (1984). A model for the prediction of latent errors using data obtained during the development process.3 indexed citations
Gaffney, John E., et al.. (1983). Software Function, Source Lines of Code, and Development Effort Prediction: A Software Science Validation. IEEE Transactions on Software Engineering. SE-9(6). 639–648.1087 indexed citations breakdown →
19.
Gaffney, John E.. (1981). Software Metrics and Performance.. Int. CMG Conference.1 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.