Daniela Stroppiana

4.5k total citations · 1 hit paper
76 papers, 3.4k citations indexed

About

Daniela Stroppiana is a scholar working on Ecology, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Daniela Stroppiana has authored 76 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Ecology, 48 papers in Global and Planetary Change and 26 papers in Environmental Engineering. Recurrent topics in Daniela Stroppiana's work include Remote Sensing in Agriculture (51 papers), Fire effects on ecosystems (26 papers) and Remote Sensing and LiDAR Applications (22 papers). Daniela Stroppiana is often cited by papers focused on Remote Sensing in Agriculture (51 papers), Fire effects on ecosystems (26 papers) and Remote Sensing and LiDAR Applications (22 papers). Daniela Stroppiana collaborates with scholars based in Italy, United States and Portugal. Daniela Stroppiana's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and Environmental Science & Technology.

In The Last Decade

Daniela Stroppiana

72 papers receiving 3.2k citations

Hit Papers

Advanced methods of plant disease detection. A review 2014 2026 2018 2022 2014 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Advanced methods of plant disease detection. A review
    2014 616 citations Federico Martinelli, Riccardo Scalenghe et al. Agronomy for Sustainable Development profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniela Stroppiana Italy 32 1.8k 1.7k 931 764 577 76 3.4k
Toshihiro Sakamoto Japan 25 2.2k 1.3× 1.4k 0.8× 1.1k 1.2× 887 1.2× 636 1.1× 61 3.3k
Qingjiu Tian China 31 1.9k 1.1× 1.4k 0.8× 584 0.6× 1.5k 2.0× 743 1.3× 182 3.7k
Jesús Delegido Spain 28 2.1k 1.2× 924 0.5× 1.1k 1.2× 1.1k 1.4× 285 0.5× 89 3.6k
Rasmus Houborg United States 31 2.3k 1.3× 2.0k 1.2× 1.2k 1.3× 1.5k 2.0× 805 1.4× 80 4.3k
Jin Wu China 41 2.8k 1.6× 3.1k 1.8× 1.4k 1.5× 1.0k 1.4× 832 1.4× 178 5.3k
John M. Kovacs Canada 30 3.0k 1.7× 1.0k 0.6× 1.1k 1.2× 1.1k 1.5× 416 0.7× 55 4.3k
Frank Veroustraete Belgium 28 2.0k 1.1× 2.0k 1.2× 765 0.8× 1.3k 1.7× 718 1.2× 68 3.5k
Megan Lewis Australia 27 1.4k 0.8× 847 0.5× 386 0.4× 659 0.9× 252 0.4× 105 2.6k
Kasper Johansen Australia 37 2.4k 1.4× 1.6k 0.9× 570 0.6× 1.5k 1.9× 355 0.6× 104 3.9k
Carol A. Wessman United States 34 2.6k 1.4× 2.0k 1.2× 768 0.8× 856 1.1× 669 1.2× 64 4.2k

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 of co-authors of Daniela Stroppiana

This figure shows the co-authorship network connecting the top 25 collaborators of Daniela Stroppiana. A scholar is included among the top collaborators of Daniela Stroppiana 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 Daniela Stroppiana. Daniela Stroppiana 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
1.
Pinardi, Monica, Gary Free, Daniela Stroppiana, et al.. (2024). Investigating the Impact of Wildfires on Lake Water Quality Using Earth Observation Satellites. Applied Sciences. 14(6). 2626–2626.
2.
D’Auria, Luca, Raffaele Castaldo, Malvina Silvestri, et al.. (2024). Thermal Patterns at the Campi Flegrei Caldera Inferred from Satellite Data and Independent Component Analysis. Remote Sensing. 16(23). 4615–4615. 2 indexed citations
3.
Boschetti, Mirco, Gherardo Chirici, Saverio Francini, et al.. (2022). An Automatic Algorithm for Mapping Burned Areas from Sentinel Data in Mediterranean Europe: Analysis of 2021 Major Fire Events in Italy and Greece. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 106–106. 1 indexed citations
4.
Chuvieco, Emilio, Ekhi Roteta, Daniela Stroppiana, et al.. (2022). Building a small fire database for Sub-Saharan Africa from Sentinel-2 high-resolution images. The Science of The Total Environment. 845. 157139–157139. 38 indexed citations
5.
Boschetti, Mirco, et al.. (2021). A Burned Area Mapping Algorithm for Sentinel-2 Data Based on Approximate Reasoning and Region Growing. Remote Sensing. 13(11). 2214–2214. 15 indexed citations
6.
Stroppiana, Daniela, et al.. (2021). A Fully Automatic, Interpretable and Adaptive Machine Learning Approach to Map Burned Area from Remote Sensing. ISPRS International Journal of Geo-Information. 10(8). 546–546. 12 indexed citations
7.
Goffi, Alessia, Gloria Bordogna, Daniela Stroppiana, Mirco Boschetti, & Pietro Alessandro Brivio. (2020). Knowledge and Data-Driven Mapping of Environmental Status Indicators from Remote Sensing and VGI. Remote Sensing. 12(3). 495–495. 11 indexed citations
8.
Stroppiana, Daniela, Paolo Villa, Giovanna Sona, et al.. (2018). Early season weed mapping in rice crops using multi-spectral UAV data. International Journal of Remote Sensing. 39(15-16). 5432–5452. 61 indexed citations
9.
Bordogna, Gloria, Pietro Alessandro Brivio, Alberto Crema, et al.. (2016). A Spatial Data Infrastructure Integrating Multisource Heterogeneous Geospatial Data and Time Series: A Study Case in Agriculture. ISPRS International Journal of Geo-Information. 5(5). 73–73. 31 indexed citations
10.
Martinelli, Federico, Riccardo Scalenghe, Salvatore Davino, et al.. (2014). Advanced methods of plant disease detection. A review. Agronomy for Sustainable Development. 35(1). 1–25. 616 indexed citations breakdown →
11.
Bordogna, Gloria, Daniela Stroppiana, Alberto Crema, et al.. (2014). Supporting a Regional Agricultural Sector with Geo & Mainstream ICT – the Case Study of Space4Agri Project. AgEcon Search (University of Minnesota, USA). 6(4). 69–80. 3 indexed citations
12.
Giardino, Claudia, Mariano Bresciani, Daniela Stroppiana, Alessandro Oggioni, & Giuseppe Morabito. (2013). Optical remote sensing of lakes: an overview on Lake Maggiore. Journal of Limnology. 73(s1). 60 indexed citations
13.
Bresciani, Mariano, Daniela Stroppiana, Daniel Odermatt, Giuseppe Morabito, & Claudia Giardino. (2011). Assessing remotely sensed chlorophyll-a for the implementation of the Water Framework Directive in European perialpine lakes. The Science of The Total Environment. 409(17). 3083–3091. 110 indexed citations
14.
Stroppiana, Daniela, Pietro Alessandro Brivio, Jean‐Marie Grégoire, et al.. (2010). Comparison of global inventories of monthly CO emissions derived from remotely sensed data. 3 indexed citations
15.
Stroppiana, Daniela, Mirco Boschetti, Paolo Zaffaroni, & Pietro Alessandro Brivio. (2009). Analysis and Interpretation of Spectral Indices for Soft Multicriteria Burned-Area Mapping in Mediterranean Regions. IEEE Geoscience and Remote Sensing Letters. 6(3). 499–503. 36 indexed citations
16.
Nizzetto, Luca, Daniela Stroppiana, Pietro Alessandro Brivio, Mirco Boschetti, & Antonio Di Guardo. (2007). Tracing the fate of PCBs in forest ecosystems. Journal of Environmental Monitoring. 9(6). 542–542. 14 indexed citations
17.
Stroppiana, Daniela, Mirco Boschetti, Roberto Confalonieri, Stefano Bocchi, & Pietro Alessandro Brivio. (2006). Evaluation of LAI-2000 for leaf area index monitoring in paddy rice. Field Crops Research. 99(2-3). 167–170. 70 indexed citations
18.
Confalonieri, Roberto, et al.. (2005). Analysis of rice sample size variability due to development stage, nitrogen fertilization, sowing technique and variety using the visual jackknife. Field Crops Research. 97(2-3). 135–141. 24 indexed citations
19.
Stroppiana, Daniela, et al.. (2003). The use of SPOT VEGETATION data in a classification tree approach for burnt area mapping in Australian savanna. International Journal of Remote Sensing. 24(10). 2131–2151. 44 indexed citations
20.
Stroppiana, Daniela, Simon Pinnock, José M. C. Pereira, & Jean‐Marie Grégoire. (2002). Radiometric analysis of SPOT-VEGETATION images for burnt area detection in Northern Australia. Remote Sensing of Environment. 82(1). 21–37. 107 indexed citations

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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