Massimiliano Pontil

128 papers and 9.2k indexed citations i.

About

Massimiliano Pontil is a scholar working on Artificial Intelligence, Computational Mechanics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Massimiliano Pontil has authored 128 papers receiving a total of 9.2k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Artificial Intelligence, 46 papers in Computational Mechanics and 31 papers in Computer Vision and Pattern Recognition. Recurrent topics in Massimiliano Pontil’s work include Sparse and Compressive Sensing Techniques (46 papers), Machine Learning and Algorithms (23 papers) and Face and Expression Recognition (20 papers). Massimiliano Pontil is often cited by papers focused on Sparse and Compressive Sensing Techniques (46 papers), Machine Learning and Algorithms (23 papers) and Face and Expression Recognition (20 papers). Massimiliano Pontil collaborates with scholars based in United Kingdom, Italy and United States. Massimiliano Pontil's co-authors include Theodoros Evgeniou, Charles A. Micchelli, Andreas A. Argyriou, Tomaso Poggio, Alessandro Verri, Cecilia Mascolo, Salvatore Scellato, Anastasios Noulas, David T. Jones and Daniel Buchan and has published in prestigious journals such as Bioinformatics, PLoS ONE and NeuroImage.

In The Last Decade

Co-authorship network of co-authors of Massimiliano Pontil i

Fields of papers citing papers by Massimiliano Pontil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Massimiliano Pontil

Since Specialization
Citations

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