Giuseppe Modica

3.2k citations
59 papers · 2.1k indexed · 2 hit papers · h-index 23
Topics
Land Use and Ecosystem Services (27 papers)Remote Sensing in Agriculture (26 papers)Remote Sensing and LiDAR Applications (18 papers)

In The Last Decade

Giuseppe Modica

55 papers receiving 2.0k citations

Hit Papers

Applications of UAV Thermal Imagery in Precision Agricult...20202026202220242020202150100150200

Peers

Giuseppe Modica
Comparison fields: 5 of 104
  • Ecology 1.2k
  • Global and Planetary Change 1.1k
  • Environmental Engineering 585
  • Plant Science 335
  • Atmospheric Science 281
Replace Amr Abd‐Elrahman with:
Amr Abd‐Elrahman United States
Süha Berberoğlu Türkiye
Zoltan Szantoi Italy
Ni Huang China
Giorgos Mallinis Greece
Adriaan van Niekerk South Africa
Zongyao Sha China
Elhadi Adam South Africa
Gunter Menz Germany
Giuseppe Modica relative to Amr Abd‐Elrahman United States Amr Abd‐Elrahman's profile →
Citations per field
00.5×1.5×
Amr Abd‐Elrahman · 1×
Citations per year

Countries citing papers authored by Giuseppe Modica

Since Specialization
Citations

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

Fields of papers citing papers by Giuseppe Modica

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giuseppe Modica

This figure shows the co-authorship network connecting the top 25 collaborators of Giuseppe Modica. A scholar is included among the top collaborators of Giuseppe Modica 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 Giuseppe Modica. Giuseppe Modica 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 1
2 0
3 2
4 11
5 2
6 9
7 18
8 36
9 4
10 2
11 49
12
Machine Learning Classification of Mediterranean Forest Habitats in Google Earth Engine Based on Seasonal Sentinel-2 Time-Series and Input Image Composition Optimisationbreakdown →
161
13 113
14 12
15 25
16 19
17 0
18 94
19 8
20 23

About Giuseppe Modica

Giuseppe Modica is a scholar working on Global and Planetary Change, Environmental Engineering and Ecology, having authored 59 papers that have together received 2.1k indexed citations. Recurring topics across this work include Land Use and Ecosystem Services (27 papers), Remote Sensing in Agriculture (26 papers) and Remote Sensing and LiDAR Applications (18 papers). The work is most often cited by research in Global and Planetary Change (1.1k citations), Ecology (1.2k citations) and Environmental Engineering (585 citations). Giuseppe Modica has collaborated with scholars based in Italy, United Kingdom and Portugal. Frequent co-authors include Salvatore Di Fazio, Gaetano Messina, Salvatore Praticò, Carmelo Riccardo Fichera, Maurizio Pollino, Giandomenico De Luca, Francesco Solano, João M. N. Silva, Luigi Laudari and Marco Vizzari. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Environmental Management and Agricultural and Forest Meteorology.

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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