Massimo Barbieri

1.1k citations
55 papers · 649 · h-index 10

Impact in

    • Plant-Microbe Interactions and Immunity
    • Smart Agriculture and AI
  • Ecology top 10%
    • Remote Sensing in Agriculture

Papers in

Massimo Barbieri

50 papers receiving 619 citations

Peers

Massimo Barbieri
Comparison fields: 5 of 95
  • Plant Science 302
  • Ecology 201
  • Environmental Engineering 109
  • Ecology, Evolution, Behavior and Systematics 108
  • Atmospheric Science 87
Replace Oiva Niemeläinen with:
Oiva Niemeläinen Finland
G. Mata Australia
Marko Panić Serbia
Mohammad Reza Mobasheri Iran
Asghar Fallah Iran
Duke Pauli United States
Changwei Tan China
Louis Longchamps United States
Amanda Ramcharan United States
Sujay Kumar Dutta India
Massimo Barbieri relative to Oiva Niemeläinen Finland Oiva Niemeläinen's profile →
Citations per field
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Citations per year

Countries citing papers authored by Massimo Barbieri

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Barbieri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Massimo Barbieri, 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 Barbieri Line = papers co-authored together Massimo Barbieri links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004221
2 201760
3 201443
4 202141
5 201840
6 201530
7
An operational remote sensing based service for rice production estimation at national scale
201325
8 201524
9 201924
10 201720
11 20229
12
Space-borne and ground-based SAR interferometry for landslide activity analysis and monitoring in the appennines of Emilia Romagna (Italy): Review of methods and preliminary results
20049
13 20219
14 20148
15 20187
16
Additional causes of seismically-related landslides in the Northern Apennines, Italy
20086
17 20156
18 20226
19 20226
20
Estimation Of Cultivated Area In Small Plot Agriculture In Africa For Food Security Purposes
20134

About Massimo Barbieri

Massimo Barbieri is a scholar working on Ecology, Aerospace Engineering, Atmospheric Science, Environmental Engineering and Control and Systems Engineering, having authored 55 papers that have together received 649 indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (10 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (10 papers), Remote Sensing and Land Use (4 papers), Soil Moisture and Remote Sensing (4 papers), Process Optimization and Integration (4 papers), Carbon Dioxide Capture Technologies (3 papers), Landslides and related hazards (3 papers) and Remote-Sensing Image Classification (3 papers). The work is most often cited by research in Plant Science (302 citations), Ecology (201 citations), Environmental Engineering (109 citations), Ecology, Evolution, Behavior and Systematics (108 citations) and Atmospheric Science (87 citations). Massimo Barbieri has collaborated with scholars based in Italy, Philippines and United States. Frequent co-authors include Boris A. Vinatzer, Andrea Patocchi, Stefano Tartarini, E. Silfverberg-Dilworth, Luca Gianfranceschi, Jun Zhu, C. Gessler, Silviero Sansavini, Luca Gatti and Andrew Nelson. Their work appears in journals such as Remote Sensing, World Patent Information, European Journal of Remote Sensing, International Journal of Remote Sensing and Industrial & Engineering Chemistry Research.

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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