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 Analysis and Survey of the Development of Mutation Testing
20101.1k citationsYue Jia, Mark HarmanIEEE Transactions on Software Engineeringprofile →
Regression testing minimization, selection and prioritization: a survey
This map shows the geographic impact of Mark Harman'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 Mark Harman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Harman more than expected).
This network shows the impact of papers produced by Mark Harman. 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 Mark Harman. The network helps show where Mark Harman may publish in the future.
Co-authorship network of co-authors of Mark Harman
This figure shows the co-authorship network connecting the top 25 collaborators of Mark Harman.
A scholar is included among the top collaborators of Mark Harman 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 Mark Harman. Mark Harman is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Finkelstein, Anthony, et al.. (2014). App Store Analysis: Mining App Stores for Relationships between Customer, Business and Technical Characteristics.25 indexed citations
Paige, Richard F., Mark Harman, & James R. Williams. (2013). Proceedings of the 1st International Workshop on Combining Modelling and Search-Based Software Engineering. International Conference on Software Engineering.4 indexed citations
13.
Binkley, David, Mark Harman, & Jens Krinke. (2008). Animated Visualisation of Static Analysis: Characterising, Explaining and Exploiting the Approximate Nature of Static Analysis.1 indexed citations
Guo, Qiang, et al.. (2004). Computing unique input/output sequences using genetic algorithms.1 indexed citations
17.
Cantú‐Paz, Erick, Kalyanmoy Deb, Larry Davis, et al.. (2003). Genetic and evolutionary computation - GECCO 2003 : Genetic and Evolutionary Computation Conference, Chicago, IL, USA, July 12-16, 2003 : proceedings. Springer eBooks.1 indexed citations
Harman, Mark, et al.. (1999). Towards a Maturity Model for Empirical Studies of Software Testing.1 indexed citations
20.
Danicic, Sebastian & Mark Harman. (1997). Program Slicing using Functional Networks(Concurrency Theory and Applications '96). Kyoto University Research Information Repository (Kyoto University). 996. 54–65.1 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.