Marina Paolanti

60 papers and 1.3k indexed citations i.

About

Marina Paolanti is a scholar working on Computer Vision and Pattern Recognition, Geology and Environmental Engineering. According to data from OpenAlex, Marina Paolanti has authored 60 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computer Vision and Pattern Recognition, 12 papers in Geology and 10 papers in Environmental Engineering. Recurrent topics in Marina Paolanti’s work include 3D Surveying and Cultural Heritage (12 papers), Remote Sensing and LiDAR Applications (10 papers) and Video Surveillance and Tracking Methods (7 papers). Marina Paolanti is often cited by papers focused on 3D Surveying and Cultural Heritage (12 papers), Remote Sensing and LiDAR Applications (10 papers) and Video Surveillance and Tracking Methods (7 papers). Marina Paolanti collaborates with scholars based in Italy, Portugal and Sweden. Marina Paolanti's co-authors include Roberto Pierdicca, Emanuele Frontoni, Primo Zingaretti, Eva Savina Malinverni, Massimo Martini, Francesca Matrone, Andrea Felicetti, Christian Morbidoni, Andrea Maria Lingua and Adriano Mancini and has published in prestigious journals such as PLoS ONE, Expert Systems with Applications and Sensors.

In The Last Decade

Co-authorship network of co-authors of Marina Paolanti i

Fields of papers citing papers by Marina Paolanti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Marina Paolanti

Since Specialization
Citations

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