Michaela De Giglio

996 total citations · 1 hit paper
19 papers, 753 citations indexed

About

Michaela De Giglio is a scholar working on Environmental Engineering, Ecology and Global and Planetary Change. According to data from OpenAlex, Michaela De Giglio has authored 19 papers receiving a total of 753 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Environmental Engineering, 8 papers in Ecology and 6 papers in Global and Planetary Change. Recurrent topics in Michaela De Giglio's work include Remote Sensing in Agriculture (7 papers), Remote Sensing and LiDAR Applications (7 papers) and Land Use and Ecosystem Services (4 papers). Michaela De Giglio is often cited by papers focused on Remote Sensing in Agriculture (7 papers), Remote Sensing and LiDAR Applications (7 papers) and Land Use and Ecosystem Services (4 papers). Michaela De Giglio collaborates with scholars based in Italy and Spain. Michaela De Giglio's co-authors include Marco Dubbini, Fabio Remondino, Sebastian Candiago, Maurizio Barbarella, Ernesto Antonini, Alejandro Pérez‐Hurtado, Jacopo Gaspari, Francesco Stecchi, Nicolas Greggio and Enrico Tomelleri and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing and Energies.

In The Last Decade

Michaela De Giglio

19 papers receiving 728 citations

Hit Papers

Evaluating Multispectral Images and Vegetation Indices fo... 2015 2026 2018 2022 2015 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michaela De Giglio Italy 9 441 345 243 164 74 19 753
Yuri Shendryk Australia 15 467 1.1× 456 1.3× 172 0.7× 227 1.4× 32 0.4× 22 820
Claudio Belli Italy 7 405 0.9× 348 1.0× 286 1.2× 202 1.2× 60 0.8× 9 712
Sebastian Candiago Italy 8 460 1.0× 315 0.9× 271 1.1× 471 2.9× 72 1.0× 12 997
Fuzhou Duan China 12 348 0.8× 249 0.7× 190 0.8× 128 0.8× 88 1.2× 36 726
Rocío Ballesteros Spain 20 704 1.6× 451 1.3× 493 2.0× 305 1.9× 65 0.9× 44 1.2k
B. Aragon Saudi Arabia 13 269 0.6× 178 0.5× 202 0.8× 171 1.0× 63 0.9× 19 555
Waldo Ojeda‐Bustamante Mexico 14 221 0.5× 218 0.6× 352 1.4× 182 1.1× 43 0.6× 77 833
Anna Brook Israel 16 264 0.6× 225 0.7× 145 0.6× 191 1.2× 86 1.2× 68 845
Jonathan P. Dash New Zealand 17 586 1.3× 699 2.0× 180 0.7× 240 1.5× 42 0.6× 24 1.1k
Lingbo Yang China 16 336 0.8× 233 0.7× 161 0.7× 153 0.9× 44 0.6× 42 617

Countries citing papers authored by Michaela De Giglio

Since Specialization
Citations

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

Fields of papers citing papers by Michaela De Giglio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michaela De Giglio. 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 Michaela De Giglio. The network helps show where Michaela De Giglio may publish in the future.

Co-authorship network of co-authors of Michaela De Giglio

This figure shows the co-authorship network connecting the top 25 collaborators of Michaela De Giglio. A scholar is included among the top collaborators of Michaela De Giglio 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 Michaela De Giglio. Michaela De Giglio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Giglio, Michaela De, et al.. (2023). Surface soil moisture estimate from Sentinel-1 and Sentinel-2 data in agricultural fields in areas of high vulnerability to climate variations: the Marche region (Italy) case study. Environment Development and Sustainability. 26(9). 24083–24105. 5 indexed citations
3.
Giglio, Michaela De, et al.. (2022). A Sentinel-2 Based Multi-Temporal Monitoring Framework for Wind and Bark Beetle Detection and Damage Mapping. Remote Sensing. 14(23). 6105–6105. 21 indexed citations
4.
Masiero, Andrea, et al.. (2021). RANDOM FOREST-BASED RIVER PLASTIC DETECTION WITH A HANDHELD MULTISPECTRAL CAMERA. SHILAP Revista de lepidopterología. XLIII-B1-2021. 9–14. 9 indexed citations
5.
Gaspari, Jacopo, et al.. (2020). A GIS-Based Methodology for Speedy Energy Efficiency Mapping: A Case Study in Bologna. Energies. 13(9). 2230–2230. 11 indexed citations
6.
Giglio, Michaela De, et al.. (2020). Plastics waste identification in river ecosystems by multispectral proximal sensing: a preliminary methodology study. Water and Environment Journal. 35(2). 569–579. 14 indexed citations
7.
Antonini, Ernesto, et al.. (2020). Outdoor Wellbeing and Quality of Life: A Scientific Literature Review on Thermal Comfort. Energies. 13(8). 2079–2079. 26 indexed citations
9.
Giglio, Michaela De, et al.. (2017). SATELLITE AND UNMANNED AERIAL VEHICLE DATA FOR THE CLASSIFICATION OF SAND DUNE VEGETATION. SHILAP Revista de lepidopterología. XLII-3/W2. 43–50. 5 indexed citations
10.
Dubbini, Marco, et al.. (2016). Last generation instrument for agriculture multispectral data collection. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 1–7. 6 indexed citations
11.
Giglio, Michaela De, et al.. (2016). Land use and land cover change analysis in predominantly man-made coastal wetlands: towards a methodological framework. Wetlands Ecology and Management. 25(1). 23–43. 35 indexed citations
12.
Giglio, Michaela De, et al.. (2016). Multitemporal analysis of Landsat images to detect land use land cover changes for monitoring soil sealing in the Nola area (Naples, Italy). Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10005. 100051H–100051H. 2 indexed citations
13.
Barbarella, Maurizio, et al.. (2015). Satellite data analysis for identification of groundwater salinization effects on coastal forest for monitoring purposes. SHILAP Revista de lepidopterología. 368. 325–330. 2 indexed citations
14.
Barbarella, Maurizio, Michaela De Giglio, & Nicolas Greggio. (2015). Effects of saltwater intrusion on pinewood vegetation using satellite ASTER data: the case study of Ravenna (Italy). Environmental Monitoring and Assessment. 187(4). 166–166. 8 indexed citations
15.
Barbarella, Maurizio, et al.. (2015). ASTER and Worldview-2 satellite data comparison for identification of groundwater salinization effects on the Classe pine forest vegetation (Ravenna, Italy). SHILAP Revista de lepidopterología. XL-7/W3. 307–314. 3 indexed citations
16.
Candiago, Sebastian, et al.. (2015). Evaluating Multispectral Images and Vegetation Indices for Precision Farming Applications from UAV Images. Remote Sensing. 7(4). 4026–4047. 572 indexed citations breakdown →
17.
Mancini, Francesco, et al.. (2014). Ionospheric activity and possible connection with seismicity: Contribution from the analysis of long time series of GNSS signals. Physics and Chemistry of the Earth Parts A/B/C. 85-86. 106–113. 2 indexed citations
18.
Giglio, Michaela De, et al.. (2012). Studio degli effetti dell’intrusione del cuneo salinosulla vegetazione costiera mediante dati satellitari. 121–128. 1 indexed citations
19.
Mancini, Francesco, et al.. (2008). Use of Landsat and Terra-ASTER data for environmental monitoring. 39–53. 1 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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