Daniela Stroppiana

4.5k citations
76 papers · 3.4k indexed · 1 hit paper · h-index 32

Daniela Stroppiana

72 papers receiving 3.2k citations

Hit Papers

Advanced methods of plant disease detection. A review6162014202620182022200400600

Peers

Daniela Stroppiana
Comparison fields: 5 of 115
  • Global and Planetary Change 1.7k
  • Ecology 1.8k
  • Environmental Engineering 764
  • Atmospheric Science 577
  • Analytical Chemistry 281
Replace Toshihiro Sakamoto with:
Toshihiro Sakamoto Japan
Qingjiu Tian China
Rasmus Houborg United States
Jesús Delegido Spain
John M. Kovacs Canada
Frank Veroustraete Belgium
Kasper Johansen Australia
Megan Lewis Australia
Maitiniyazi Maimaitijiang United States
Guido D’Urso Italy
Daniela Stroppiana relative to Toshihiro Sakamoto Japan Toshihiro Sakamoto's profile →
Citations per field
00.5×1.7×
Toshihiro Sakamoto · 1×
Citations per year

Countries citing papers authored by Daniela Stroppiana

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Stroppiana

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20242
3 20221
4 202238
5 202115
6 202112
7 202011
8 201861
9 201631
10
Advanced methods of plant disease detection. A reviewbreakdown →
2014616
11 20143
12 201360
13 2011110
14 20103
15 200936
16 200714
17 200670
18 200524
19 200344
20 2002107

About Daniela Stroppiana

Daniela Stroppiana is a scholar working on Global and Planetary Change, Ecology, Environmental Engineering, Media Technology and Atmospheric Science, having authored 76 papers that have together received 3.4k indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (51 papers), Fire effects on ecosystems (26 papers), Remote Sensing and LiDAR Applications (22 papers), Land Use and Ecosystem Services (13 papers), Remote-Sensing Image Classification (12 papers), Atmospheric and Environmental Gas Dynamics (10 papers), Remote Sensing and Land Use (7 papers) and Atmospheric chemistry and aerosols (5 papers). The work is most often cited by research in Global and Planetary Change (1.7k citations), Ecology (1.8k citations), Environmental Engineering (764 citations), Atmospheric Science (577 citations) and Analytical Chemistry (281 citations). Daniela Stroppiana has collaborated with scholars based in Italy, United States and Portugal. Frequent co-authors include Mirco Boschetti, Pietro Alessandro Brivio, José M. C. Pereira, Jean‐Marie Grégoire, Stefano Bocchi, Paolo Villa, Paulo Barbosa, Simon Pinnock, Gloria Bordogna and Abhaya M. Dandekar. Their work appears in journals such as Remote Sensing, International Journal of Remote Sensing, European Journal of Remote Sensing, ISPRS Journal of Photogrammetry and Remote Sensing and Field Crops Research.

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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