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.
Causal Inference Using Graphical Models with theRPackagepcalg
2012307 citationsMarkus Kalisch, Martin Mächler et al.Journal of Statistical Softwareprofile →
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 Diego Colombo'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 Diego Colombo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diego Colombo more than expected).
This network shows the impact of papers produced by Diego Colombo. 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 Diego Colombo. The network helps show where Diego Colombo may publish in the future.
Co-authorship network of co-authors of Diego Colombo
This figure shows the co-authorship network connecting the top 25 collaborators of Diego Colombo.
A scholar is included among the top collaborators of Diego Colombo 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 Diego Colombo. Diego Colombo is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Maathuis, Marloes H. & Diego Colombo. (2015). A generalized back-door criterion. The Annals of Statistics. 43(3). e250821195838–e250821195838.9 indexed citations
Colombo, Diego & Marloes H. Maathuis. (2012). A modification of the PC algorithm yielding order-independent skeletons. arXiv (Cornell University).9 indexed citations
6.
Kalisch, Markus, Martin Mächler, Diego Colombo, Marloes H. Maathuis, & Peter Bühlmann. (2012). Causal Inference Using Graphical Models with theRPackagepcalg. Journal of Statistical Software. 47(11).307 indexed citations breakdown →
7.
Colombo, Diego, Marloes H. Maathuis, Markus Kalisch, & Thomas S. Richardson. (2011). Learning high-dimensional DAGs with latent and selection variables. arXiv (Cornell University). 850–850.3 indexed citations
8.
Cazzola, Walter, Antonio Cisternino, & Diego Colombo. (2005). Freely Annotating C#.. The Journal of Object Technology. 4(10). 31–31.8 indexed citations
9.
Cazzola, Walter, Antonio Cisternino, & Diego Colombo. (2005). [a]C#. CINECA IRIS Institutial research information system (University of Pisa). 2003. 1264–1268.3 indexed citations
Cisternino, Antonio, et al.. (2005). Increasing decoupling in a framework for programming robots. CINECA IRIS Institutial research information system (University of Pisa).1 indexed citations
12.
Attardi, Giuseppe, Antonio Cisternino, & Diego Colombo. (2004). CIL + Metadata > Executable Program.. The Journal of Object Technology. 3(2). 19–19.3 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.