Loris Nanni

233 papers and 6.5k indexed citations i.

About

Loris Nanni is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Loris Nanni has authored 233 papers receiving a total of 6.5k indexed citations (citations by other indexed papers that have themselves been cited), including 131 papers in Computer Vision and Pattern Recognition, 58 papers in Molecular Biology and 55 papers in Artificial Intelligence. Recurrent topics in Loris Nanni’s work include Face and Expression Recognition (47 papers), Machine Learning in Bioinformatics (44 papers) and Biometric Identification and Security (36 papers). Loris Nanni is often cited by papers focused on Face and Expression Recognition (47 papers), Machine Learning in Bioinformatics (44 papers) and Biometric Identification and Security (36 papers). Loris Nanni collaborates with scholars based in Italy, United States and Finland. Loris Nanni's co-authors include Alessandra Lumini, Sheryl Brahnam, Stefano Ghidoni, Gianluca Maguolo, Michelangelo Paci, Yandre M. G. Costa, Dario Maio, Aarti Garg, Dinesh Gupta and Nicola Lazzarini and has published in prestigious journals such as Bioinformatics, Notes and Queries and PLoS ONE.

In The Last Decade

Co-authorship network of co-authors of Loris Nanni i

Fields of papers citing papers by Loris Nanni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Loris Nanni

Since Specialization
Citations

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