Massimo Vincini

629 citations
18 papers · 471 indexed · h-index 8

Impact in

Papers in

Massimo Vincini

18 papers receiving 452 citations

Peers

Massimo Vincini
Comparison fields: 5 of 51
  • Ecology 388
  • Environmental Engineering 174
  • Analytical Chemistry 63
  • Ecological Modeling 27
  • Global and Planetary Change 126
Replace Jiyul Chang with:
Jiyul Chang United States
M. Heaphy New Zealand
Jean-Marc Gilliot France
Eiji Sakaiya Japan
Yumiko Kanke United States
Robert Nøddebo Poulsen Denmark
Dieter Trautz Germany
Guillaume Lassalle France
A. A. Gitelson United States
Lukáš Brodský Czechia
Massimo Vincini relative to Jiyul Chang United States Jiyul Chang's profile →
Citations per field
00.5×3.4×
Jiyul Chang · 1×
Citations per year

Countries citing papers authored by Massimo Vincini

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Vincini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Massimo Vincini, 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 Massimo Vincini Line = papers co-authored together Massimo Vincini links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 20203
2 20195
3 201917
4 201525
5 20136
6 20131
7 201335
8
Sensitivity of Sentinel-2 Red-Edge Bands to Leaf Chlorophyll Concentration in Winter Wheat.
20123
9 20101
10 201050
11 2008236
12
NARROW-BAND VEGETATION INDEXES FROM HYPERION AND DIRECTIONAL CHRIS/PROBA DATA FOR CANOPY CHLOROPHYLL DENSITY ESTIMATION IN MAIZE
20074
13 200329
14 200319
15 20021
16 20025
17
MINNAERT TOPOGRAPHIC NORMALIZATION OF LANDSAT TM IMAGERY IN RUGGED FOREST AREAS
20002
18 199429

About Massimo Vincini

Massimo Vincini is a scholar working on Tourism, Leisure and Hospitality Management, Environmental Engineering, Ecology, Global and Planetary Change and Plant Science, having authored 18 papers that have together received 471 indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (14 papers), Remote Sensing and LiDAR Applications (6 papers), Leaf Properties and Growth Measurement (6 papers), Land Use and Ecosystem Services (4 papers), Remote Sensing and Land Use (3 papers), Urban Heat Island Mitigation (3 papers), Plant Water Relations and Carbon Dynamics (3 papers) and Horticultural and Viticultural Research (2 papers). The work is most often cited by research in Ecology (388 citations), Environmental Engineering (174 citations), Analytical Chemistry (63 citations), Ecological Modeling (27 citations) and Global and Planetary Change (126 citations). Massimo Vincini has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include E. Frazzi, Paola D’Alessio, Stefano Amaducci, F. Carini, Raffaele Casa, Andrea Taramelli, Alberto Vercesi, Riccardo Colombo, Stefano Poni and Matteo Gatti. Their work appears in journals such as Precision Agriculture, IEEE Transactions on Geoscience and Remote Sensing, Bioresource Technology, Agronomy and Journal of Agricultural Engineering.

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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