M. Poscolieri

585 citations
28 papers · 493 · h-index 11

Impact in

Papers in

    • Geochemistry and Geologic Mapping 9
    • Earthquake Detection and Analysis 6
    • earthquake and tectonic studies 5
    • Seismic Waves and Analysis 5

M. Poscolieri

26 papers receiving 450 citations

Peers

M. Poscolieri
Comparison fields: 5 of 81
  • Space and Planetary Science 64
  • Media Technology 106
  • Environmental Engineering 130
  • Geology 49
  • Geophysics 111
Replace Gino Dardanelli with:
Gino Dardanelli Italy
Nicolas Le Dantec France
Jan J. Nossin Netherlands
Issaak Parcharidis Greece
Maurizio Barbarella Italy
Oleg Alexandrov United States
Eef Meerschman Belgium
S. P. Scheidt United States
Louis Andreani Germany
Luca Nannipieri Italy
M. Poscolieri relative to Gino Dardanelli Italy Gino Dardanelli's profile →
Citations per field
00.5×10×17×
Gino Dardanelli · 1×
Citations per year

Countries citing papers authored by M. Poscolieri

Since Specialization
Citations

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

Fields of papers citing papers by M. Poscolieri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200879
2 200376
3 200776
4 199251
5 200833
6 201029
7 200526
8 201719
9 200617
10 199014
11 201110
12 20068
13 19907
14 20187
15 20066
16 20116
17 20075
18 20064
19 20174
20
Statistical reconstruction of a Martian scene - G-mode cluster analysis results from multispectral data population
19803

About M. Poscolieri

M. Poscolieri is a scholar working on Artificial Intelligence, Geophysics, Environmental Engineering, Media Technology and Management, Monitoring, Policy and Law, having authored 28 papers that have together received 493 indexed citations. Recurring topics across this work include Geochemistry and Geologic Mapping (9 papers), Earthquake Detection and Analysis (6 papers), earthquake and tectonic studies (5 papers), Landslides and related hazards (5 papers), Seismic Waves and Analysis (5 papers), Remote-Sensing Image Classification (5 papers), Soil Geostatistics and Mapping (4 papers) and Remote Sensing and LiDAR Applications (4 papers). The work is most often cited by research in Space and Planetary Science (64 citations), Media Technology (106 citations), Environmental Engineering (130 citations), Geology (49 citations) and Geophysics (111 citations). M. Poscolieri has collaborated with scholars based in Italy, Greece and Argentina. Frequent co-authors include Rosa Maria Cavalli, Stefano Pignatti, Angelo Palombo, Simone Pascucci, Issaak Parcharidis, Kosmas Pavlopoulos, G. Paparo, Lorenzo Fusilli, Federico Santini and V. Cuomo. Their work appears in journals such as Natural hazards and earth system sciences, Geological Society London Special Publications, CATENA, Geomorphology and ISPRS Journal of Photogrammetry and Remote Sensing.

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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