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.
A Systematic Survey of Program Comprehension through Dynamic Analysis
2009282 citationsBas Cornelissen, Andy Zaidman et al.IEEE Transactions on Software Engineeringprofile →
Work Practices and Challenges in Pull-Based Development: The Integrator's Perspective
2015233 citationsGeorgios Gousios, Andy Zaidman et al.profile →
Author Peers
Peers are selected by citation overlap in the author's most active subfields.
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This map shows the geographic impact of Andy Zaidman'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 Andy Zaidman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andy Zaidman more than expected).
This network shows the impact of papers produced by Andy Zaidman. 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 Andy Zaidman. The network helps show where Andy Zaidman may publish in the future.
Co-authorship network of co-authors of Andy Zaidman
This figure shows the co-authorship network connecting the top 25 collaborators of Andy Zaidman.
A scholar is included among the top collaborators of Andy Zaidman 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 Andy Zaidman. Andy Zaidman is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Wessel, Mairieli, Andy Zaidman, Marco Aurélio Gerosa, & Igor Steinmacher. (2022). Guidelines for Developing Bots for GitHub. IEEE Software. 40(3). 72–79.5 indexed citations
Palomba, Fabio, Annibale Panichella, Andy Zaidman, Rocco Oliveto, & Andrea De Lucia. (2018). [Journal First] The Scent of a Smell: An Extensive Comparison Between Textual and Structural Smells. International Conference on Software Engineering.2 indexed citations
8.
Palomba, Fabio, Damian A. Tamburri, Alexander Serebrenik, et al.. (2018). Poster: How Do Community Smells Influence Code Smells?. International Conference on Software Engineering.2 indexed citations
Zaidman, Andy, et al.. (2014). Web API Growing Pains: Loosely Coupled yet Strongly Tied. Data Archiving and Networked Services (DANS).1 indexed citations
Zaidman, Andy, et al.. (2009). Studying Co-evolution of Production and Test Code Using Association Rule Mining. Research Repository (Delft University of Technology).5 indexed citations
Zaidman, Andy, et al.. (2005). Applying Dynamic Analysis in a Legacy Context: An Industrial Experience Report. Ghent University Academic Bibliography (Ghent University). 6–10.4 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.