Massimo Barbieri

1.1k total citations
48 papers, 516 citations indexed

About

Massimo Barbieri is a scholar working on Ecology, Aerospace Engineering and Atmospheric Science. According to data from OpenAlex, Massimo Barbieri has authored 48 papers receiving a total of 516 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Ecology, 9 papers in Aerospace Engineering and 7 papers in Atmospheric Science. Recurrent topics in Massimo Barbieri's work include Remote Sensing in Agriculture (10 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (9 papers) and Remote Sensing and Land Use (4 papers). Massimo Barbieri is often cited by papers focused on Remote Sensing in Agriculture (10 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (9 papers) and Remote Sensing and Land Use (4 papers). Massimo Barbieri collaborates with scholars based in Italy, Philippines and United States. Massimo Barbieri's co-authors include Andrea Patocchi, E. Silfverberg-Dilworth, Luca Gianfranceschi, Silviero Sansavini, Jun Zhu, C. Gessler, Boris A. Vinatzer, Stefano Tartarini, Andrew Nelson and Luca Gatti and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Industrial & Engineering Chemistry Research.

In The Last Decade

Massimo Barbieri

43 papers receiving 492 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Massimo Barbieri Italy 9 255 160 92 90 76 48 516
Oiva Niemeläinen Finland 11 187 0.7× 273 1.7× 125 1.4× 167 1.9× 50 0.7× 41 528
Sarah R. Johnston United Kingdom 4 194 0.8× 83 0.5× 58 0.6× 106 1.2× 50 0.7× 5 531
Asghar Fallah Iran 11 93 0.4× 158 1.0× 44 0.5× 155 1.7× 14 0.2× 81 482
Amanda Ramcharan United States 7 191 0.7× 95 0.6× 22 0.2× 155 1.7× 20 0.3× 8 520
Marko Panić Serbia 14 155 0.6× 63 0.4× 74 0.8× 41 0.5× 20 0.3× 44 485
Zhaochen Zhang China 13 119 0.5× 185 1.2× 73 0.8× 49 0.5× 16 0.2× 45 524
Ze Zhang China 14 332 1.3× 372 2.3× 14 0.2× 115 1.3× 16 0.2× 59 589
K. Okada Japan 13 97 0.4× 105 0.7× 32 0.3× 37 0.4× 8 0.1× 34 642
Shengkun Wang China 12 276 1.1× 55 0.3× 57 0.6× 12 0.1× 71 0.9× 53 598

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-authorship network of co-authors of Massimo Barbieri

This figure shows the co-authorship network connecting the top 25 collaborators of Massimo Barbieri. A scholar is included among the top collaborators of Massimo Barbieri based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Massimo Barbieri. Massimo Barbieri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Holecz, Francesco, et al.. (2025). Inference of forest tree volume using synthetic aperture in central Sudan. Letters in Spatial and Resource Sciences. 18(1). 1 indexed citations
2.
Barbieri, Massimo, Emma Quicho, Ali Ibrahim, et al.. (2025). Rice area-yield estimation based on the synergistic use of remote sensing time-series and crop growth modeling in Nigeria. Smart Agricultural Technology. 11. 101024–101024. 1 indexed citations
3.
Falciola, Luca & Massimo Barbieri. (2024). Disclosure of patenting activities within scientific publications as potential conflicts-of-interest: Evidences from biomedical literature. World Patent Information. 76. 102251–102251. 2 indexed citations
4.
Barbieri, Massimo, et al.. (2024). A novel process for recovery and exploitation of polyesters and polyamides from waste polymeric artifacts. SHILAP Revista de lepidopterología. 4. 100026–100026.
5.
Barbieri, Massimo, et al.. (2024). Technologies for non-invasive and continuous blood glucose monitoring in sports: a Patent Landscape Analysis. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 5–10. 1 indexed citations
6.
Barbieri, Massimo. (2024). Chitosan for Food Packaging Applications: A Patent Landscape Analysis. SHILAP Revista de lepidopterología. 43–43.
7.
Barbieri, Massimo & Giuseppe Andreoni. (2024). Textile Pressure Sensors: Innovations and Intellectual Property Landscape. SHILAP Revista de lepidopterología. 37–37.
8.
Falciola, Luca & Massimo Barbieri. (2020). Searching and Analyzing Patent-Relevant Information for Evaluating COVID-19 Innovation. SSRN Electronic Journal. 1 indexed citations
9.
Barbieri, Massimo. (2017). Innovation and Industrial Property Rights. SSRN Electronic Journal. 1 indexed citations
10.
Setiyono, Tri, F. Holecz, Nasreen Islam Khan, et al.. (2017). Synthetic Aperture Radar (SAR)-based paddy rice monitoring system: Development and application in key rice producing areas in Tropical Asia. IOP Conference Series Earth and Environmental Science. 54. 12015–12015. 18 indexed citations
11.
Bellini, Martina & Massimo Barbieri. (2015). Percutaneous cryoanalgesia in pain management: a case-series. PubMed. 47(2). 131–133. 5 indexed citations
12.
Collivignarelli, Francesco, et al.. (2013). Estimation Of Cultivated Area In Small Plot Agriculture In Africa For Food Security Purposes. ESASP. 722. 334. 2 indexed citations
13.
Holecz, Francesco, Massimo Barbieri, Francesco Collivignarelli, et al.. (2013). An operational remote sensing based service for rice production estimation at national scale. University of Twente Research Information. 722. 120. 23 indexed citations
14.
Barbieri, Massimo, et al.. (2013). An Appraisal Of E-learning In Teaching Basic Medical Sciences. Scopus. 1 indexed citations
15.
Castaldini, Doriano, Massimo Barbieri, G. D’Amato Avanzi, et al.. (2008). Additional causes of seismically-related landslides in the Northern Apennines, Italy. IRIS UNIMORE (University of Modena and Reggio Emilia). 10. 5–21. 6 indexed citations
16.
Silfverberg-Dilworth, E., Stefano Tartarini, Andrea Patocchi, et al.. (2004). The HcrVf2 gene from a wild apple confers scab resistance to a transgenic cultivated variety. Proceedings of the National Academy of Sciences. 101(3). 886–890. 189 indexed citations
17.
Willems, Patrick, Luis Timbe, S.M. Thompson, et al.. (2003). FAME: Flood risk and damage assessment using modelling and earth observation techniques. Ghent University Academic Bibliography (Ghent University). 3 indexed citations
18.
Wade, Salimata, Massimo Barbieri, J.P. Rudant, et al.. (2002). Application of Satellite Radar Interferometry in Enhancing the Morphology of the Velingara Structure, Casamance, Senegal. Lunar and Planetary Science Conference. 1556. 3 indexed citations
19.
Panizza, Mario, Massimo Barbieri, Jaime Bonachea, et al.. (2001). Procedura per la Valutazione d’Impatto Ambientale (VIA) del Tracciato ad Alta Velocità nel Comune di Castelfranco Emilia e aree limitrofe (Provincia di Modena, Italia). IRIS UNIMORE (University of Modena and Reggio Emilia). 78. 91–94. 1 indexed citations
20.
Castaldini, Doriano, et al.. (2000). Geological and geomorphological studies in seismic hazard assessment for territorial planning. IRIS UNIMORE (University of Modena and Reggio Emilia). 31–34. 1 indexed citations

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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