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.
Countries citing papers authored by Gianluigi Caldiera
Since
Specialization
Citations
This map shows the geographic impact of Gianluigi Caldiera'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 Gianluigi Caldiera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gianluigi Caldiera more than expected).
Fields of papers citing papers by Gianluigi Caldiera
This network shows the impact of papers produced by Gianluigi Caldiera. 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 Gianluigi Caldiera. The network helps show where Gianluigi Caldiera may publish in the future.
Co-authorship network of co-authors of Gianluigi Caldiera
This figure shows the co-authorship network connecting the top 25 collaborators of Gianluigi Caldiera.
A scholar is included among the top collaborators of Gianluigi Caldiera 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 Gianluigi Caldiera. Gianluigi Caldiera is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
18 of 18 papers shown
1.
Basili, Victor R., Gianluigi Caldiera, & Filippo Lanubile. (2006). Investigating Focused Techniques for Understanding Frameworks.
Kontio, Jyrki, Gianluigi Caldiera, & Victor R. Basili. (1996). Defining Factors, Goals and Criteria for Reusable Component Evaluation. Conference of the Centre for Advanced Studies on Collaborative Research. 15. 21.33 indexed citations
6.
Basili, Victor R., Gianluigi Caldiera, Filippo Lanubile, & Forrest Shull. (1996). Studies on reading techniques. 59–65.26 indexed citations
7.
Basili, Victor R. & Gianluigi Caldiera. (1995). The experience factory: strategy and practice. Digital Repository at the University of Maryland (University of Maryland College Park). 13.1 indexed citations
Caldiera, Gianluigi. (1993). Impact of ISO 9000 on Software Maintenance. 228–230.1 indexed citations
11.
Abd–El–Hafiz, Salwa K., Victor R. Basili, & Gianluigi Caldiera. (1992). Towards automated support for extraction of reusable components. NASA Technical Reports Server (NASA).3 indexed citations
Basili, Victor R., Gianluigi Caldiera, & Giovanni Cantone. (1992). A reference architecture for the component factory. ACM Transactions on Software Engineering and Methodology. 1(1). 53–80.71 indexed citations
Caldiera, Gianluigi & Victor R. Basili. (1990). Reengineering existing software for reusability. Digital Repository at the University of Maryland (University of Maryland College Park).6 indexed citations
17.
Basili, Victor R. & Gianluigi Caldiera. (1988). Reusing Existing Software. Digital Repository at the University of Maryland (University of Maryland College Park).8 indexed citations
18.
Caldiera, Gianluigi, et al.. (1981). Conceptual Representation of Data and Logical IMS Design. 299–317.3 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.