Marco Chini

199 papers receiving 6.2k citations

Marco Chini's Hit Papers

A neural network approach using multi-scale textural metrics from very high-resolution panchromatic imagery for urban land-use classification 2009 · 325 citations
3250+5+11Years since publication100200300

Peers

Marco Chini
Comparison fields: 5 of 109
  • Global and Planetary Change 2.5k
  • Media Technology 912
  • Aerospace Engineering 1.2k
  • Geophysics 547
  • Organic Chemistry 948
Replace Fangfang Zhang with:
Fangfang Zhang China
Apostolos Sarris Greece
Liu Hailong China
Kang Yang China
Sang-Wan Kim South Korea
Zhen Li China
Runqiu Huang China
Yao Li China
James David Miller United States
Marco Chini relative to Fangfang Zhang China Fangfang Zhang's profile →
Citations per field
00.5×20×40×63.2×
Fangfang Zhang · 1×
Citations per year

Countries citing papers authored by Marco Chini

Since Specialization
Citations

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

Fields of papers citing papers by Marco Chini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 205 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A neural network approach using multi-scale textural metrics from very high-resolution panchromatic imagery for urban land-use classification
Hit paper breakdown →
2009325
2 2009287
3 2017256
4 2011235
5 2011220
6 2006177
7 2015177
8 1990176
9 2019174
10 1994166
11 2008129
12 2016126
13 2018111
14 1991105
15 2012105
16 199094
17 201393
18 201292
19 199383
20 201683

About Marco Chini

Marco Chini is a scholar working on Global and Planetary Change, Aerospace Engineering, Media Technology, Environmental Engineering and Geophysics, having authored 205 papers that have together received 6.4k indexed citations. Recurring topics across this work include Flood Risk Assessment and Management (77 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (74 papers), Remote-Sensing Image Classification (20 papers), Soil Moisture and Remote Sensing (16 papers), Chemical Reaction Mechanisms (16 papers), Asymmetric Synthesis and Catalysis (15 papers), earthquake and tectonic studies (15 papers) and Organic Chemistry Synthesis Methods (12 papers). The work is most often cited by research in Global and Planetary Change (2.5k citations), Media Technology (912 citations), Aerospace Engineering (1.2k citations), Geophysics (547 citations) and Organic Chemistry (948 citations). Marco Chini has collaborated with scholars based in Italy, Luxembourg and Austria. Frequent co-authors include Nazzareno Pierdicca, Luca Pulvirenti, Paolo Crotti, Franco Macchia, Patrick Matgen, Renaud Hostache, Salvatore Stramondo, William J. Emery, Christian Bignami and Leila Guerriero. Their work appears in journals such as Remote Sensing, IEEE Transactions on Geoscience and Remote Sensing, The Journal of Organic Chemistry, Tetrahedron Letters and IEEE Geoscience and Remote Sensing Letters.

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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