Mario Bentivenga

91 total papers · 1.0k total citations
56 papers, 798 citations indexed

About

Mario Bentivenga is a scholar working on Geology, Management, Monitoring, Policy and Law and Earth-Surface Processes. According to data from OpenAlex, Mario Bentivenga has authored 56 papers receiving a total of 798 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Geology, 18 papers in Management, Monitoring, Policy and Law and 18 papers in Earth-Surface Processes. Recurrent topics in Mario Bentivenga's work include Landslides and related hazards (16 papers), Geotourism and Geoheritage Conservation (14 papers) and 3D Surveying and Cultural Heritage (13 papers). Mario Bentivenga is often cited by papers focused on Landslides and related hazards (16 papers), Geotourism and Geoheritage Conservation (14 papers) and 3D Surveying and Cultural Heritage (13 papers). Mario Bentivenga collaborates with scholars based in Italy, United Kingdom and Germany. Mario Bentivenga's co-authors include Marco Piccarreta, Domenico Capolongo, Giacomo Prosser, Giuseppe Palladino, Salvatore Ivo Giano, Federico Boenzi, Hazel Faulkner, Enrico Tavarnelli, Francesco Cavalcante and Mauro Coltorti and has published in prestigious journals such as The Science of The Total Environment, Remote Sensing and Sustainability.

In The Last Decade

Mario Bentivenga

54 papers receiving 771 citations

Author Peers

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

Author Last Decade Papers Cites
Mario Bentivenga 285 201 193 144 140 56 798
Paola Fredi 162 0.6× 287 1.4× 234 1.2× 278 1.9× 191 1.4× 42 837
Irene Maria Bollati 532 1.9× 251 1.2× 128 0.7× 130 0.9× 161 1.1× 63 922
Francesca Vergari 308 1.1× 253 1.3× 333 1.7× 54 0.4× 174 1.2× 32 892
Dario Gioia 77 0.3× 312 1.6× 165 0.9× 138 1.0× 193 1.4× 54 752
Maurizio Lazzari 81 0.3× 269 1.3× 136 0.7× 151 1.0× 71 0.5× 39 720
Salvatore Ivo Giano 93 0.3× 220 1.1× 122 0.6× 393 2.7× 201 1.4× 58 797
Daniela Piacentini 130 0.5× 504 2.5× 66 0.3× 163 1.1× 127 0.9× 41 816
Marek Kasprzak 112 0.4× 305 1.5× 85 0.4× 127 0.9× 107 0.8× 76 896
Guido Paliaga 210 0.7× 412 2.0× 153 0.8× 43 0.3× 95 0.7× 44 1.0k
Blaž Komac 92 0.3× 149 0.7× 104 0.5× 56 0.4× 48 0.3× 82 791

Countries citing papers authored by Mario Bentivenga

Since Specialization
Citations

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

Fields of papers citing papers by Mario Bentivenga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mario Bentivenga

This figure shows the co-authorship network connecting the top 25 collaborators of Mario Bentivenga. A scholar is included among the top collaborators of Mario Bentivenga 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 Mario Bentivenga. Mario Bentivenga 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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