Massimo Melillo

36 papers receiving 2.1k citations

Massimo Melillo's Hit Papers

Deep learning forecast of rainfall-induced shallow landslides 2023 · 106 citations
1060+3+6Years since publication100200300

Peers

Massimo Melillo
Comparison fields: 5 of 66
  • Management, Monitoring, Policy and Law 1.9k
  • Atmospheric Science 1.1k
  • Global and Planetary Change 1.2k
  • Safety, Risk, Reliability and Quality 264
  • Civil and Structural Engineering 393
Replace Ivan Marchesini with:
Ivan Marchesini Italy
Federica Fiorucci Italy
Kang-Tsung Chang Taiwan
Ascanio Rosi Italy
Diego Di Martire Italy
Alexander L. Handwerger United States
Amar Deep Regmi China
Settimio Ferlisi Italy
Srikrishnan Siva Subramanian China
Tamer Y. Duman Türkiye
Massimo Melillo relative to Ivan Marchesini Italy Ivan Marchesini's profile →
Citations per field
00.5×1.6×
Ivan Marchesini · 1×
Citations per year

Countries citing papers authored by Massimo Melillo

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Melillo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Geographical landslide early warning systems
Hit paper breakdown →
2019317
2
Rainfall thresholds for possible landslide occurrence in Italy
Hit paper breakdown →
2017274
3 2014221
4 2018138
5 2016123
6 2018110
7 2014110
8
Deep learning forecast of rainfall-induced shallow landslides
Hit paper breakdown →
2023106
9 2018103
10 201991
11 201565
12 201756
13 201853
14 201748
15 202334
16 202333
17 202333
18 202133
19 202333
20 202030

About Massimo Melillo

Massimo Melillo is a scholar working on Management, Monitoring, Policy and Law, Global and Planetary Change, Atmospheric Science, Civil and Structural Engineering and Safety, Risk, Reliability and Quality, having authored 37 papers that have together received 2.1k indexed citations. Recurring topics across this work include Landslides and related hazards (31 papers), Cryospheric studies and observations (24 papers), Flood Risk Assessment and Management (17 papers), Fire effects on ecosystems (8 papers), Soil and Unsaturated Flow (3 papers), Geotechnical Engineering and Analysis (3 papers), Precipitation Measurement and Analysis (2 papers) and Aquatic Ecosystems and Phytoplankton Dynamics (2 papers). The work is most often cited by research in Management, Monitoring, Policy and Law (1.9k citations), Atmospheric Science (1.1k citations), Global and Planetary Change (1.2k citations), Safety, Risk, Reliability and Quality (264 citations) and Civil and Structural Engineering (393 citations). Massimo Melillo has collaborated with scholars based in Italy, Spain and Netherlands. Frequent co-authors include Maria Teresa Brunetti, Silvia Peruccacci, Fausto Guzzetti, Stefano Luigi Gariano, Mauro Rossi, Ivan Marchesini, Alessandro Mondini, Carmela Vennari, Giulio Iovine and O. Terranova. Their work appears in journals such as Landslides, Natural hazards and earth system sciences, Geomorphology, The Science of The Total Environment and Water.

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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