Antonio Vergari

21 papers and 111 indexed citations i.

About

Antonio Vergari is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Antonio Vergari has authored 21 papers receiving a total of 111 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Antonio Vergari’s work include Bayesian Modeling and Causal Inference (6 papers), Machine Learning and Data Classification (5 papers) and Multimodal Machine Learning Applications (3 papers). Antonio Vergari is often cited by papers focused on Bayesian Modeling and Causal Inference (6 papers), Machine Learning and Data Classification (5 papers) and Multimodal Machine Learning Applications (3 papers). Antonio Vergari collaborates with scholars based in United Kingdom, United States and Italy. Antonio Vergari's co-authors include Floriana Esposito, Nicola Di Mauro, Alejandro Molina, Kristian Kersting, Mehdi S. M. Sajjadi, Michael J. Black, Bernhard Schölkopf, Partha Ghosh, Guy Van den Broeck and Sriraam Natarajan and has published in prestigious journals such as Machine Learning, Translational Psychiatry and Journal of Manufacturing Systems.

In The Last Decade

Co-authorship network of co-authors of Antonio Vergari i

Fields of papers citing papers by Antonio Vergari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Antonio Vergari. 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 Antonio Vergari. The network helps show where Antonio Vergari may publish in the future.

Countries citing papers authored by Antonio Vergari

Since Specialization
Citations

This map shows the geographic impact of Antonio Vergari'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 Antonio Vergari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Antonio Vergari 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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