Massimo Selva

4.4k citations
48 papers · 3.7k · 3 hit papers · h-index 17

Impact in

Papers in

Massimo Selva

47 papers receiving 3.7k citations

Massimo Selva's Hit Papers

Multispectral and Panchromatic Data Fusion Assessment Without Reference 2008 · 738 citations
7380+6+13Years since publication2505007501000

Peers

Massimo Selva
Comparison fields: 5 of 74
  • Media Technology 3.5k
  • Computer Vision and Pattern Recognition 2.5k
  • Computational Mathematics 7
  • Ecology 271
  • Aerospace Engineering 259
Replace Giorgio Licciardi with:
Giorgio Licciardi Italy
Bruno Aiazzi Italy
Filippo Nencini Italy
Rocco Restaino Italy
Qi Wei France
Miguel Simões Portugal
Shen‐En Qian Canada
Rubén Fernández-Beltrán Spain
Fabrizio Argenti Italy
Xinyi Yu United States
Massimo Selva relative to Giorgio Licciardi Italy Giorgio Licciardi's profile →
Citations per field
00.5×1.6×
Giorgio Licciardi · 1×
Citations per year

Countries citing papers authored by Massimo Selva

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Selva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Massimo Selva, 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 Massimo Selva Line = papers co-authored together Massimo Selva links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Improving Component Substitution Pansharpening Through Multivariate Regression of MS $+$Pan Data
Hit paper breakdown →
20071033
2
MTF-tailored Multiscale Fusion of High-resolution MS and Pan Imagery
Hit paper breakdown →
2006779
3
Multispectral and Panchromatic Data Fusion Assessment Without Reference
Hit paper breakdown →
2008738
4 2015229
5 2009170
6 2003125
7 2011114
8 201372
9 200661
10 200653
11 200941
12 201233
13 201232
14 201832
15 202028
16 200525
17 201822
18 200916
19 200816
20 201215

About Massimo Selva

Massimo Selva is a scholar working on Media Technology, Computer Vision and Pattern Recognition, Aerospace Engineering, Ecology and Signal Processing, having authored 48 papers that have together received 3.7k indexed citations. Recurring topics across this work include Advanced Image Fusion Techniques (35 papers), Remote-Sensing Image Classification (33 papers), Image and Signal Denoising Methods (22 papers), Advanced Data Compression Techniques (9 papers), Infrared Target Detection Methodologies (6 papers), Remote Sensing in Agriculture (6 papers), Image Enhancement Techniques (4 papers) and Geochemistry and Geologic Mapping (2 papers). The work is most often cited by research in Media Technology (3.5k citations), Computer Vision and Pattern Recognition (2.5k citations), Computational Mathematics (7 citations), Ecology (271 citations) and Aerospace Engineering (259 citations). Massimo Selva has collaborated with scholars based in Italy, India and United States. Frequent co-authors include Stefano Baronti, Bruno Aiazzi, Luciano Alparone, Andrea Garzelli, Filippo Nencini, Francesco Butera, Leandro Chiarantini, Franco Lotti, Leonardo Santurri and Ivan Pippi. Their work appears in journals such as Remote Sensing, IEEE Geoscience and Remote Sensing Letters, Photogrammetric Engineering & Remote Sensing, Signal Processing and IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

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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