Piercesare Secchi

88 papers and 1.3k indexed citations i.

About

Piercesare Secchi is a scholar working on Artificial Intelligence, Statistics and Probability and Environmental Engineering. According to data from OpenAlex, Piercesare Secchi has authored 88 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 15 papers in Statistics and Probability and 15 papers in Environmental Engineering. Recurrent topics in Piercesare Secchi’s work include Soil Geostatistics and Mapping (15 papers), Bayesian Methods and Mixture Models (11 papers) and Morphological variations and asymmetry (8 papers). Piercesare Secchi is often cited by papers focused on Soil Geostatistics and Mapping (15 papers), Bayesian Methods and Mixture Models (11 papers) and Morphological variations and asymmetry (8 papers). Piercesare Secchi collaborates with scholars based in Italy, United States and United Kingdom. Piercesare Secchi's co-authors include Simone Vantini, Alessandra Menafoglio, Laura M. Sangalli, Valeria Vitelli, Anna Maria Paganoni, Alessandro Veneziani, Alberto Guadagnini, Davide Pigoli, Giacomo Aletti and Enrico Zio and has published in prestigious journals such as Journal of the American Statistical Association, Bioinformatics and The Journal of Immunology.

In The Last Decade

Co-authorship network of co-authors of Piercesare Secchi i

Fields of papers citing papers by Piercesare Secchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Piercesare Secchi

Since Specialization
Citations

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