Diego Colombo

13 papers and 745 indexed citations i.

About

Diego Colombo is a scholar working on Artificial Intelligence, Statistics and Probability and Molecular Biology. According to data from OpenAlex, Diego Colombo has authored 13 papers receiving a total of 745 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 3 papers in Statistics and Probability and 2 papers in Molecular Biology. Recurrent topics in Diego Colombo’s work include Bayesian Modeling and Causal Inference (6 papers), Advanced Causal Inference Techniques (3 papers) and Teaching and Learning Programming (2 papers). Diego Colombo is often cited by papers focused on Bayesian Modeling and Causal Inference (6 papers), Advanced Causal Inference Techniques (3 papers) and Teaching and Learning Programming (2 papers). Diego Colombo collaborates with scholars based in Switzerland, United States and Italy. Diego Colombo's co-authors include Marloes H. Maathuis, Markus Kalisch, Peter Bühlmann, Martin Mächler, Thomas S. Richardson, James E. Rush, Antonio Cisternino, Walter Cazzola, Giuseppe Attardi and Antonio Bucchiarone and has published in prestigious journals such as The Annals of Statistics, Journal of Statistical Software and Science of Computer Programming.

In The Last Decade

Co-authorship network of co-authors of Diego Colombo i

Fields of papers citing papers by Diego Colombo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Diego Colombo

Since Specialization
Citations

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).

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.

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2025