Massimo Musacchio

102 total papers · 603 total citations
39 papers, 396 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 396 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 Geochemistry and Geologic Mapping (10 papers), Remote-Sensing Image Classification (10 papers) and Calibration and Measurement Techniques (8 papers). Massimo Musacchio is often cited by papers focused on Geochemistry and Geologic Mapping (10 papers), Remote-Sensing Image Classification (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

35 papers receiving 386 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Massimo Musacchio 135 111 104 84 80 39 396
M. Poscolieri 52 0.4× 115 1.0× 43 0.4× 43 0.5× 90 1.1× 24 430
Malvina Silvestri 151 1.1× 126 1.1× 121 1.2× 26 0.3× 76 0.9× 44 419
Francesca Garfagnoli 62 0.5× 83 0.7× 59 0.6× 27 0.3× 125 1.6× 19 392
Jan J. Nossin 65 0.5× 66 0.6× 41 0.4× 47 0.6× 47 0.6× 19 336
Francesca Giannone 32 0.2× 100 0.9× 44 0.4× 73 0.9× 73 0.9× 32 347
Vladimiro Achilli 49 0.4× 92 0.8× 36 0.3× 95 1.1× 88 1.1× 47 417
Claudia Spinetti 168 1.2× 71 0.6× 142 1.4× 35 0.4× 81 1.0× 40 416
Roberta Ravanelli 61 0.5× 116 1.0× 96 0.9× 75 0.9× 5 0.1× 42 394
Battista Matasci 91 0.7× 121 1.1× 43 0.4× 143 1.7× 28 0.3× 17 364
Vladimír Greif 121 0.9× 42 0.4× 56 0.5× 22 0.3× 26 0.3× 22 344

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

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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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