Giovanni D’Amico

695 citations
31 papers · 400 indexed · h-index 10
Topics
Remote Sensing and LiDAR Applications (20 papers)Remote Sensing in Agriculture (13 papers)Forest Ecology and Biodiversity Studies (11 papers)
Journals
SHILAP Revista de lepidopterologíaSensorsInternational Journal of Remote Sensing

In The Last Decade

Giovanni D’Amico

26 papers receiving 386 citations

Peers

Giovanni D’Amico
Comparison fields: 5 of 62
  • Environmental Engineering 218
  • Ecology 215
  • Global and Planetary Change 187
  • Nature and Landscape Conservation 102
  • Media Technology 56
Replace Elia Vangi with:
Elia Vangi Italy
Yuanyong Dian China
Stefanie Holzwarth Germany
Lili Lin China
Lloyd Queen United States
Luxia Liu China
Laura Poikolainen Finland
Asim Banskota United States
R. Denham Australia
Vuong Ly United States
Giovanni D’Amico relative to Elia Vangi Italy Elia Vangi's profile →
Citations per field
00.5×1.5×
Elia Vangi · 1×
Citations per year

Countries citing papers authored by Giovanni D’Amico

Since Specialization
Citations

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

Fields of papers citing papers by Giovanni D’Amico

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Giovanni D’Amico. 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 Giovanni D’Amico. The network helps show where Giovanni D’Amico may publish in the future.

Co-authorship network of co-authors of Giovanni D’Amico

This figure shows the co-authorship network connecting the top 25 collaborators of Giovanni D’Amico. A scholar is included among the top collaborators of Giovanni D’Amico 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 Giovanni D’Amico. Giovanni D’Amico 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
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18 97
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About Giovanni D’Amico

Giovanni D’Amico is a scholar working on Environmental Engineering, Nature and Landscape Conservation and Insect Science, having authored 31 papers that have together received 400 indexed citations. Recurring topics across this work include Remote Sensing and LiDAR Applications (20 papers), Remote Sensing in Agriculture (13 papers) and Forest Ecology and Biodiversity Studies (11 papers). The work is most often cited by research in Environmental Engineering (218 citations), Global and Planetary Change (187 citations) and Ecology (215 citations). Giovanni D’Amico has collaborated with scholars based in Italy, United States and Finland. Frequent co-authors include Gherardo Chirici, Saverio Francini, Elia Vangi, Francesca Giannetti, Marco Marchetti, Davide Travaglini, Bruno Lasserre, Ronald E. McRoberts, Matteo Pecchi and Piermaria Corona. Their work appears in journals such as SHILAP Revista de lepidopterología, Sensors and International Journal of 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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