Massimo Martini
Impact in
- Space and Planetary Science top 1%
- Archaeological Research and Protection
- Geology top 1%
- 3D Surveying and Cultural Heritage
Papers in
-
- Advanced Image and Video Retrieval Techniques 3
- Visual Attention and Saliency Detection 2
- Video Surveillance and Tracking Methods 2
- Geology 7
- 3D Surveying and Cultural Heritage 7
- Co-authors
- Marina Paolanti (11 shared papers)Francesca Matrone (6 shared papers)Roberto Pierdicca (10 shared papers)Emanuele Frontoni (9 shared papers)Eva Savina Malinverni (5 shared papers)Christian Morbidoni (3 shared papers)Andrea Maria Lingua (3 shared papers)Fabio Remondino (1 shared paper)
- Journals
- Remote Sensing (1 paper)Virtual Archaeology Review (1 paper)Pattern Recognition Letters (1 paper)IEEE Access (1 paper)IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (1 paper)
- Partner nations
- ItalySwitzerlandFrance
In The Last Decade
Massimo Martini
16 papers receiving 514 citations
Massimo Martini's Hit Papers
Peers
Comparison fields: 5 of 72
- Space and Planetary Science 88
- Geology 361
- Conservation 96
- Environmental Engineering 215
- Computer Vision and Pattern Recognition 149
Countries citing papers authored by Massimo Martini
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).
Fields of papers citing papers by Massimo Martini
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.
Co-authors
The 20 scholars most cited alongside Massimo Martini, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Point Cloud Semantic Segmentation Using a Deep Learning Framework for Cultural Heritage Hit paper breakdown → | 2020 | 211 |
| 2 | 2020 | 123 | |
| 3 | 2019 | 59 | |
| 4 | 2019 | 37 | |
| 5 | 2021 | 21 | |
| 6 | 2020 | 21 | |
| 7 | 2022 | 19 | |
| 8 | 2019 | 10 | |
| 9 | 2019 | 9 | |
| 10 | 2021 | 7 | |
| 11 | 2022 | 6 | |
| 12 | 2019 | 5 | |
| 13 | 2022 | 2 | |
| 14 | 2021 | 2 | |
| 15 | 1995 | 1 | |
| 16 | 2024 | 1 |
About Massimo Martini
Massimo Martini is a scholar working on Computer Vision and Pattern Recognition, Geology, Environmental Engineering, Artificial Intelligence and Space and Planetary Science, having authored 16 papers that have together received 534 indexed citations. Recurring topics across this work include 3D Surveying and Cultural Heritage (7 papers), Remote Sensing and LiDAR Applications (6 papers), Archaeological Research and Protection (3 papers), Industrial Vision Systems and Defect Detection (3 papers), Advanced Image and Video Retrieval Techniques (3 papers), Sentiment Analysis and Opinion Mining (2 papers), Visual Attention and Saliency Detection (2 papers) and Video Surveillance and Tracking Methods (2 papers). The work is most often cited by research in Space and Planetary Science (88 citations), Geology (361 citations), Conservation (96 citations), Environmental Engineering (215 citations) and Computer Vision and Pattern Recognition (149 citations). Massimo Martini has collaborated with scholars based in Italy, Switzerland and France. Frequent co-authors include Marina Paolanti, Francesca Matrone, Roberto Pierdicca, Emanuele Frontoni, Eva Savina Malinverni, Christian Morbidoni, Andrea Maria Lingua, Fabio Remondino, Eleonora Grilli and Primo Zingaretti. Their work appears in journals such as Remote Sensing, Virtual Archaeology Review, Pattern Recognition Letters, IEEE Access and IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
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.