Marco Diani

4.0k citations
156 papers · 3.1k indexed · h-index 26

Impact in

Papers in

    • Remote-Sensing Image Classification 94
    • Advanced Image Fusion Techniques 19
    • Infrared Target Detection Methodologies 53
    • Radar Systems and Signal Processing 11
    • Calibration and Measurement Techniques 11

Marco Diani

142 papers receiving 2.9k citations

Peers

Marco Diani
Comparison fields: 5 of 154
  • Media Technology 1.6k
  • Atmospheric Science 716
  • Aerospace Engineering 901
  • Computational Mathematics 20
  • Computer Vision and Pattern Recognition 559
Replace Mikhaïl Kanevski with:
Mikhaïl Kanevski Switzerland
Jun Yue China
Jiaqi Zhao China
Daniel Heinz United States
Kiri L. Wagstaff United States
David Robertson United States
Nicolas Le Roux France
Xue Yang China
Feng Lu China
Mingwei Wang China
Marco Diani relative to Mikhaïl Kanevski Switzerland Mikhaïl Kanevski's profile →
Citations per field
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Mikhaïl Kanevski · 1×
Citations per year

Countries citing papers authored by Marco Diani

Since Specialization
Citations

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

Fields of papers citing papers by Marco Diani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 156 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010360
2 1985332
3 2001229
4 2014139
5 2011126
6 200098
7 201093
8 201387
9 200077
10 200675
11 200172
12 201364
13 201664
14 201261
15 201051
16 201945
17 200436
18 200935
19 199935
20 200933

About Marco Diani

Marco Diani is a scholar working on Media Technology, Aerospace Engineering, Analytical Chemistry, Atmospheric Science and Instrumentation, having authored 156 papers that have together received 3.1k indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (94 papers), Infrared Target Detection Methodologies (53 papers), Remote Sensing and Land Use (31 papers), Spectroscopy and Chemometric Analyses (20 papers), Remote Sensing in Agriculture (19 papers), Advanced Image Fusion Techniques (19 papers), Radar Systems and Signal Processing (11 papers) and Calibration and Measurement Techniques (11 papers). The work is most often cited by research in Media Technology (1.6k citations), Atmospheric Science (716 citations), Aerospace Engineering (901 citations), Computational Mathematics (20 citations) and Computer Vision and Pattern Recognition (559 citations). Marco Diani has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Giovanni Corsini, Stefania Matteoli, Nicola Acito, Harley Shaiken, David F. Noble, F. Berizzi, James Theiler, Marco Martorella, E. Dalle Mese and Maria Greco. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Geoscience and Remote Sensing Letters, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Aerospace and Electronic Systems Magazine and IEEE Transactions on Aerospace and Electronic Systems.

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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