M. Sgrenzaroli

544 citations
13 papers · 416 · h-index 9

Impact in

Papers in

M. Sgrenzaroli

13 papers receiving 383 citations

Peers

M. Sgrenzaroli
Comparison fields: 5 of 66
  • Ecological Modeling 51
  • Space and Planetary Science 13
  • Global and Planetary Change 215
  • Geology 44
  • Ecology 196
Replace Katsuto Shimizu with:
Katsuto Shimizu Japan
Paweł Hawryło Poland
Mihai‐Sorin Stupariu Romania
Franklin B. Sullivan United States
Reiichiro Ishii Japan
Jakob J. Assmann Denmark
DeWayne R. Derryberry United States
Lutz Bannehr Germany
Christopher S. Balzotti United States
Robert Nuske Germany
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Citations per field
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Citations per year

Countries citing papers authored by M. Sgrenzaroli

Since Specialization
Citations

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

Fields of papers citing papers by M. Sgrenzaroli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside M. Sgrenzaroli, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M. Sgrenzaroli Line = papers co-authored together M. Sgrenzaroli links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2004253
2
A vegetation map of South America
200266
3 200219
4
Laser Scanning and close range photogrammetry: Towards a single measuring tool dedicated to architecture and archaeology
200315
5 200414
6
Tecniche di rilevamento tridimensionale tramite laser scanner
200712
7
CULTURAL HERITAGE 3D RECONSTRUCTION USING HIGH RESOLUTION LASER SCANNER: NEW FRONTIERS DATA PROCESSING
20059
8
MONITORING OF GEOLOGICAL SITES BY LASER SCANNING TECHNIQUES
20049
9 20029
10 20173
11 20033
12 20023
13 20021

About M. Sgrenzaroli

M. Sgrenzaroli is a scholar working on Environmental Engineering, Ecology, Geology, Media Technology and Aerospace Engineering, having authored 13 papers that have together received 416 indexed citations. Recurring topics across this work include Remote Sensing and LiDAR Applications (6 papers), Remote Sensing in Agriculture (5 papers), 3D Surveying and Cultural Heritage (5 papers), Advanced Image Fusion Techniques (3 papers), Remote-Sensing Image Classification (2 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (2 papers), Management, Economics, and Public Policy (1 paper) and Species Distribution and Climate Change (1 paper). The work is most often cited by research in Ecological Modeling (51 citations), Space and Planetary Science (13 citations), Global and Planetary Change (215 citations), Geology (44 citations) and Ecology (196 citations). M. Sgrenzaroli has collaborated with scholars based in Italy, Belgium and Australia. Frequent co-authors include Hugh Eva, Valéry Gond, Steffen Fritz, Simon Jones, O. Huber, Alan Belward, Carlos M. Di Bella, Andrea Baraldi, G. De Grandi and G.F. De Grandi. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, International Journal of Remote Sensing, Global Change Biology, Machines and HAL (Le Centre pour la Communication Scientifique Directe).

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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