Massimo Musacchio

607 total citations
39 papers, 400 citations indexed

About

Massimo Musacchio is a scholar working on Environmental Engineering, Artificial Intelligence and Atmospheric Science. According to data from OpenAlex, Massimo Musacchio has authored 39 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Environmental Engineering, 11 papers in Artificial Intelligence and 11 papers in Atmospheric Science. Recurrent topics in Massimo Musacchio's work include Remote-Sensing Image Classification (10 papers), Geochemistry and Geologic Mapping (10 papers) and Calibration and Measurement Techniques (8 papers). Massimo Musacchio is often cited by papers focused on Remote-Sensing Image Classification (10 papers), Geochemistry and Geologic Mapping (10 papers) and Calibration and Measurement Techniques (8 papers). Massimo Musacchio collaborates with scholars based in Italy, Argentina and United States. Massimo Musacchio's co-authors include Maria Fabrizia Buongiorno, Malvina Silvestri, Antonio Costanzo, G. Casula, V. Lombardo, Stefano Corradini, Luca Merucci, Simona Scollo, Michele Prestifilippo and Sergio Teggi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and Geophysical Journal International.

In The Last Decade

Massimo Musacchio

36 papers receiving 390 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 Musacchio Italy 10 137 112 106 84 80 39 400
Malvina Silvestri Italy 11 153 1.1× 128 1.1× 123 1.2× 26 0.3× 76 0.9× 44 424
R. P. Escobar-Wolf United States 14 143 1.0× 49 0.4× 66 0.6× 61 0.7× 180 2.3× 26 493
Battista Matasci Switzerland 11 91 0.7× 121 1.1× 43 0.4× 143 1.7× 28 0.3× 17 366
Lauren N. Schaefer United States 15 149 1.1× 47 0.4× 35 0.3× 29 0.3× 368 4.6× 32 650
Massimo Cantarero Italy 11 62 0.5× 46 0.4× 25 0.2× 77 0.9× 155 1.9× 27 315
Vladimiro Achilli Italy 13 49 0.4× 92 0.8× 36 0.3× 95 1.1× 88 1.1× 47 418
J. A. Howell Norway 4 41 0.3× 233 2.1× 16 0.2× 220 2.6× 33 0.4× 7 441
V. Lombardo Italy 12 125 0.9× 59 0.5× 93 0.9× 18 0.2× 98 1.2× 27 324
Qisong Jiao China 11 126 0.9× 44 0.4× 48 0.5× 41 0.5× 102 1.3× 33 378
Scott McMichael United States 6 229 1.7× 83 0.7× 112 1.1× 38 0.5× 19 0.2× 11 524

Countries citing papers authored by Massimo Musacchio

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Musacchio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Massimo Musacchio

This figure shows the co-authorship network connecting the top 25 collaborators of Massimo Musacchio. A scholar is included among the top collaborators of Massimo Musacchio 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 Musacchio. Massimo Musacchio 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.
2.
Musacchio, Massimo, et al.. (2024). Satellite Time-Series Analysis for Thermal Anomaly Detection in the Naples Urban Area, Italy. Atmosphere. 15(5). 523–523. 1 indexed citations
3.
Musacchio, Massimo, et al.. (2024). Comparison of ASI-PRISMA Data, DLR-EnMAP Data, and Field Spectrometer Measurements on “Sale ‘e Porcus”, a Salty Pond (Sardinia, Italy). Remote Sensing. 16(6). 1092–1092. 5 indexed citations
4.
5.
Silvestri, Malvina, et al.. (2022). A Statistical Approach to Satellite Time Series Analysis to Detect Changes in Thermal Activities: The Vulcano Island 2021 Crisis. Remote Sensing. 14(16). 3933–3933. 7 indexed citations
6.
7.
Buongiorno, Maria Fabrizia, et al.. (2021). ASI-PRISMA Hyperspectral Mission for the Analysis of Geophysical Phenomena. 8099–8102. 2 indexed citations
8.
Musacchio, Massimo, et al.. (2021). Kīlauea–Leilani 2018 lava flow delineation using Sentinel2 and Landsat8 images. Geological Society London Special Publications. 519(1). 75–87. 1 indexed citations
9.
Buongiorno, Maria Fabrizia, et al.. (2020). Analysis of first PRISMA acquisitions on volcanoes and geothermal areas in Italy; comparisons with model simulations, past Hyperion data and field campaigns. AGU Fall Meeting Abstracts. 2020. 1 indexed citations
10.
Corradini, Stefano, Lorenzo Guerrieri, Dario Stelitano, et al.. (2020). Near Real-Time Monitoring of the Christmas 2018 Etna Eruption Using SEVIRI and Products Validation. Remote Sensing. 12(8). 1336–1336. 31 indexed citations
11.
Pignatti, Stefano, Maria Fabrizia Buongiorno, Massimo Musacchio, et al.. (2020). Ophiolites mapping in the Taro Valley (Central Italy) by using an LWIR airborne TASI-600 survey: preliminary results on the Roccamurata complex. 1 indexed citations
12.
Caputo, Teresa, Eliana Bellucci Sessa, Malvina Silvestri, et al.. (2019). Surface Temperature Multiscale Monitoring by Thermal Infrared Satellite and Ground Images at Campi Flegrei Volcanic Area (Italy). Remote Sensing. 11(9). 1007–1007. 22 indexed citations
13.
Lombardo, V., Stefano Corradini, Massimo Musacchio, Malvina Silvestri, & Jacopo Taddeucci. (2019). Eruptive Styles Recognition Using High Temporal Resolution Geostationary Infrared Satellite Data. Remote Sensing. 11(6). 669–669. 5 indexed citations
14.
Corradini, Stefano, Lorenzo Guerrieri, V. Lombardo, et al.. (2018). Proximal Monitoring of the 2011–2015 Etna Lava Fountains Using MSG-SEVIRI Data. Geosciences. 8(4). 140–140. 43 indexed citations
15.
Manunta, Michele, Francesco Casu, Claudio De Luca, et al.. (2017). The Geohazards Exploitation Platform: an advanced cloud-based environment for the Earth Science community. elib (German Aerospace Center). 14911. 3 indexed citations
16.
Silvestri, Malvina, et al.. (2016). Comparison of in-situ measurements and satellite-derived surface emissivity over Italian volcanic areas. EGU General Assembly Conference Abstracts. 1 indexed citations
17.
Costanzo, Antonio, Antonio Montuori, Malvina Silvestri, et al.. (2016). The Combined Use of Airborne Remote Sensing Techniques within a GIS Environment for the Seismic Vulnerability Assessment of Urban Areas: An Operational Application. Remote Sensing. 8(2). 146–146. 13 indexed citations
18.
Costanzo, Antonio, Antonio Montuori, Malvina Silvestri, et al.. (2015). Airborne LiDAR and Hyperspectral Data to Support the Seismic Vulnerability of Urban Environments. INFM-OAR (INFN Catania). f005–f005. 3 indexed citations
19.
Buongiorno, Maria Fabrizia, Massimo Musacchio, Simona Zoffoli, et al.. (2008). Volcanic risk system (SRV): ASI pilot project to support the monitoring of volcanic risk in Italy by means of EO data. IRIS UNIMORE (University of Modena and Reggio Emilia). 46. 1–5. 1 indexed citations
20.
Buongiorno, Maria Fabrizia, et al.. (2003). An unmixing approach to the atmospheric corrections of HypSEO hyperspectral data. 5. 2587–2589. 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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