Andrea Montanari

195 papers and 11.6k indexed citations i.

About

Andrea Montanari is a scholar working on Artificial Intelligence, Statistics and Probability and Computational Mechanics. According to data from OpenAlex, Andrea Montanari has authored 195 papers receiving a total of 11.6k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Artificial Intelligence, 60 papers in Statistics and Probability and 50 papers in Computational Mechanics. Recurrent topics in Andrea Montanari’s work include Sparse and Compressive Sensing Techniques (49 papers), Theoretical and Computational Physics (29 papers) and Random Matrices and Applications (25 papers). Andrea Montanari is often cited by papers focused on Sparse and Compressive Sensing Techniques (49 papers), Theoretical and Computational Physics (29 papers) and Random Matrices and Applications (25 papers). Andrea Montanari collaborates with scholars based in United States, France and Italy. Andrea Montanari's co-authors include David L. Donoho, Marc Mézard, Arian Maleki, Adel Javanmard, Mohsen Bayati, Sewoong Oh, Raghunandan H. Keshavan, Federico Ricci‐Tersenghi, Guilhem Semerjian and Mei Song and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and The Journal of Chemical Physics.

In The Last Decade

Co-authorship network of co-authors of Andrea Montanari i

Fields of papers citing papers by Andrea Montanari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Andrea Montanari

Since Specialization
Citations

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