Michaela De Giglio

33 total papers · 981 total citations
19 papers, 744 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 744 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 and LiDAR Applications (7 papers), Remote Sensing in Agriculture (7 papers) and Land Use and Ecosystem Services (4 papers). Michaela De Giglio is often cited by papers focused on Remote Sensing and LiDAR Applications (7 papers), Remote Sensing in Agriculture (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, Nicolas Greggio, Francesco Stecchi, Jacopo Gaspari, Alejandro Pérez‐Hurtado, Ernesto Antonini 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 718 citations

Hit Papers

Evaluating Multispectral ... 2015 2026 2018 2022 2015 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Michaela De Giglio 438 342 241 164 74 19 744
Yuri Shendryk 455 1.0× 446 1.3× 169 0.7× 224 1.4× 32 0.4× 22 798
Claudio Belli 402 0.9× 348 1.0× 286 1.2× 201 1.2× 60 0.8× 9 709
Fuzhou Duan 345 0.8× 246 0.7× 186 0.8× 128 0.8× 86 1.2× 36 713
Frank Boochs 265 0.6× 195 0.6× 137 0.6× 125 0.8× 68 0.9× 32 713
Dong Li 438 1.0× 529 1.5× 129 0.5× 166 1.0× 38 0.5× 23 697
Irene Borra‐Serrano 407 0.9× 368 1.1× 386 1.6× 88 0.5× 43 0.6× 25 733
Sabrina Labbé 503 1.1× 348 1.0× 348 1.4× 155 0.9× 83 1.1× 27 749
M. P. Tuohy 378 0.9× 328 1.0× 180 0.7× 194 1.2× 29 0.4× 21 765
Huayang Dai 323 0.7× 232 0.7× 233 1.0× 90 0.5× 122 1.6× 46 825
Hongcan Guan 347 0.8× 546 1.6× 122 0.5× 206 1.3× 93 1.3× 34 904

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

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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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