Marco Manzoni

82 total papers · 572 total citations
47 papers, 388 citations indexed

About

Marco Manzoni is a scholar working on Aerospace Engineering, Biomedical Engineering and Atmospheric Science. According to data from OpenAlex, Marco Manzoni has authored 47 papers receiving a total of 388 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Aerospace Engineering, 13 papers in Biomedical Engineering and 8 papers in Atmospheric Science. Recurrent topics in Marco Manzoni's work include Advanced SAR Imaging Techniques (27 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (25 papers) and Microwave Imaging and Scattering Analysis (12 papers). Marco Manzoni is often cited by papers focused on Advanced SAR Imaging Techniques (27 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (25 papers) and Microwave Imaging and Scattering Analysis (12 papers). Marco Manzoni collaborates with scholars based in Italy, Germany and China. Marco Manzoni's co-authors include Andrea Monti Guarnieri, Stefano Tebaldini, Claudio Maria Prati, Monia Elisa Molinari, Ivan Russo, Dario Tagliaferri, Umberto Spagnolini, Christian Mazzucco, Monica Nicoli and Davide Giudici and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Marco Manzoni

42 papers receiving 368 citations

Author Peers

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

Author Last Decade Papers Cites
Marco Manzoni 262 99 58 48 38 47 388
Taoli Yang 305 1.2× 107 1.1× 37 0.6× 16 0.3× 25 0.7× 59 439
Carlo Noviello 225 0.9× 142 1.4× 34 0.6× 16 0.3× 58 1.5× 30 398
Yabo Liu 296 1.1× 107 1.1× 21 0.4× 35 0.7× 26 0.7× 25 359
Jiang Qian 175 0.7× 118 1.2× 17 0.3× 62 1.3× 29 0.8× 49 423
Christophe Magnard 334 1.3× 79 0.8× 70 1.2× 20 0.4× 118 3.1× 24 405
Anurag Vidyarthi 143 0.5× 42 0.4× 89 1.5× 39 0.8× 78 2.1× 76 345
Ming Yam Chua 258 1.0× 46 0.5× 21 0.4× 36 0.8× 42 1.1× 23 404
Nada Milisavljević 72 0.3× 120 1.2× 22 0.4× 43 0.9× 52 1.4× 33 395
Hongyang Bai 110 0.4× 45 0.5× 26 0.4× 89 1.9× 30 0.8× 55 396
Feng Zhao 278 1.1× 22 0.2× 93 1.6× 25 0.5× 98 2.6× 49 415

Countries citing papers authored by Marco Manzoni

Since Specialization
Citations

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

Fields of papers citing papers by Marco Manzoni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Manzoni

This figure shows the co-authorship network connecting the top 25 collaborators of Marco Manzoni. A scholar is included among the top collaborators of Marco Manzoni 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 Marco Manzoni. Marco Manzoni 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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