Massimo Martini

11 papers and 361 indexed citations i.

About

Massimo Martini is a scholar working on Environmental Engineering, Computer Vision and Pattern Recognition and Geology. According to data from OpenAlex, Massimo Martini has authored 11 papers receiving a total of 361 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Environmental Engineering, 5 papers in Computer Vision and Pattern Recognition and 5 papers in Geology. Recurrent topics in Massimo Martini’s work include Remote Sensing and LiDAR Applications (6 papers), 3D Surveying and Cultural Heritage (5 papers) and Industrial Vision Systems and Defect Detection (2 papers). Massimo Martini is often cited by papers focused on Remote Sensing and LiDAR Applications (6 papers), 3D Surveying and Cultural Heritage (5 papers) and Industrial Vision Systems and Defect Detection (2 papers). Massimo Martini collaborates with scholars based in Italy, France and Switzerland. Massimo Martini's co-authors include Marina Paolanti, Francesca Matrone, Roberto Pierdicca, Emanuele Frontoni, Eva Savina Malinverni, Christian Morbidoni, Andrea Maria Lingua, Fabio Remondino, Eleonora Grilli and Adriano Mancini and has published in prestigious journals such as IEEE Access, Remote Sensing and Pattern Recognition Letters.

In The Last Decade

Co-authorship network of co-authors of Massimo Martini i

Fields of papers citing papers by Massimo Martini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Massimo Martini

Since Specialization
Citations

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