Filippo Nencini

4.0k citations
38 papers · 3.3k indexed · 4 hit papers · h-index 17

Filippo Nencini

38 papers receiving 3.2k citations

Hit Papers

Multispectral and Panchromatic Data Fusion Assessment Wit...20042026201120182008200620042007200400600

Peers

Filippo Nencini
Comparison fields: 5 of 76
  • Media Technology 3.1k
  • Computer Vision and Pattern Recognition 2.3k
  • Aerospace Engineering 365
  • Biomedical Engineering 322
  • Ecology 197
Replace Massimo Selva with:
Massimo Selva Italy
Rocco Restaino Italy
O. Fors Spain
Renwei Dian China
Haitao Yin China
Lina Zhuang China
Qi Wei France
Xiangyong Cao China
Kacem Chehdi France
Te‐Ming Tu Taiwan
Filippo Nencini relative to Massimo Selva Italy Massimo Selva's profile →
Citations per field
00.5×
Massimo Selva · 1×
Citations per year

Countries citing papers authored by Filippo Nencini

Since Specialization
Citations

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

Fields of papers citing papers by Filippo Nencini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Filippo Nencini

This figure shows the co-authorship network connecting the top 25 collaborators of Filippo Nencini. A scholar is included among the top collaborators of Filippo Nencini 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 Filippo Nencini. Filippo Nencini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 7
2 291
3 103
4
Low-complexity, secure and error-resilient hyperspectral image compression
1
5 6
6
Multispectral and Panchromatic Data Fusion Assessment Without Referencebreakdown →
685
7 1
8
Low-complexity lossless compression of hyperspectral images using scalar coset codes
1
9 2
10
A genetic approach to Pan-sharpening of multispectral images
1
11
Optimal MMSE Pan Sharpening of Very High Resolution Multispectral Imagesbreakdown →
472
12 9
13 40
14 46
15 10
16 24
17
Fusion of Multispectral and SAR images by Intensity Modulation
34
18
A Global Quality Measurement of Pan-Sharpened Multispectral Imagerybreakdown →
494
19 105
20 75

About Filippo Nencini

Filippo Nencini is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Atmospheric Science, having authored 38 papers that have together received 3.3k indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (32 papers), Advanced Image Fusion Techniques (31 papers) and Image and Signal Denoising Methods (22 papers). The work is most often cited by research in Media Technology (3.1k citations), Computer Vision and Pattern Recognition (2.3k citations) and Aerospace Engineering (365 citations). Filippo Nencini has collaborated with scholars based in Italy and United States. Frequent co-authors include Andrea Garzelli, Luciano Alparone, Stefano Baronti, Luca Capobianco, Bruno Aiazzi, Massimo Selva, Lorenzo Bruzzone, Silvia Marchesi, Francesca Bovolo and Andrea Abrardo. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, Pattern Recognition and International Journal of 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026