Ivan Marchesini

69 papers receiving 2.3k citations

Hit Papers

Geographical landslide early warning systems20192026202120232019100200300

Peers

Ivan Marchesini
Comparison fields: 5 of 81
  • Management, Monitoring, Policy and Law 1.9k
  • Global and Planetary Change 1.1k
  • Atmospheric Science 824
  • Safety, Risk, Reliability and Quality 411
  • Civil and Structural Engineering 352
Replace Megh Raj Dhital with:
Megh Raj Dhital Nepal
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Ivan Marchesini relative to Megh Raj Dhital Nepal Megh Raj Dhital's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ivan Marchesini

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Marchesini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ivan Marchesini

This figure shows the co-authorship network connecting the top 25 collaborators of Ivan Marchesini. A scholar is included among the top collaborators of Ivan Marchesini 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 Ivan Marchesini. Ivan Marchesini 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
#WorkIndexed citations
1 0
2 0
3 0
4 31
5 29
6 22
7 44
8 4
9 21
10
Geomorphometry 2020. Conference Proceedings
5
11 2
12
Extreme rainfall events in karst environments: the case study of September 2014 in the Gargano area (southern Italy)
2
13
Physically-based landslide susceptibility modelling: geotechnical testing and model evaluation issues
1
14
Statistical Patterns of Triggered Landslide Events and their Application to Road Networks
0
15
A Tool for Modelling the Impact of Triggered Landslide Events on Road Networks
1
16
A GRASS GIS-based deterministic model for shallow and deep-seated landslide susceptibility analysis over large areas
1
17
Preliminary outcomes from a catalogue of natural and anthropogenic sinkholes in Italy, and analysis of the related damage
6
18
A GRASS GIS Semi-Stochastic Model for Evaluating the Probability of Landslides Impacting Road Networks in Collazzone, Central Italy
1
19
Morpho-structural influences on landslide pattern and distribution: Grass GIS tool application.
2
20
A GIS framework for the stochastic distributed modelling of rainfall induced shallow landslides
1

About Ivan Marchesini

Ivan Marchesini is a scholar working on Management, Monitoring, Policy and Law, Global and Planetary Change and Atmospheric Science, having authored 77 papers that have together received 2.3k indexed citations. Recurring topics across this work include Landslides and related hazards (62 papers), Flood Risk Assessment and Management (26 papers) and Cryospheric studies and observations (24 papers). The work is most often cited by research in Management, Monitoring, Policy and Law (1.9k citations), Global and Planetary Change (1.1k citations) and Atmospheric Science (824 citations). Ivan Marchesini has collaborated with scholars based in Italy, Spain and France. Frequent co-authors include Fausto Guzzetti, Mauro Rossi, Massimiliano Alvioli, Paola Reichenbach, Federica Fiorucci, Silvia Peruccacci, Mauro Cardinali, Stefano Luigi Gariano, Massimo Melillo and Maria Teresa Brunetti. Their work appears in journals such as The Science of The Total Environment, Earth-Science Reviews and Journal of Environmental Management.

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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