Filippo Stanco

1.5k citations
96 papers · 1.1k · h-index 16

Impact in

Papers in

    • Image Retrieval and Classification Techniques 16
    • Image Processing and 3D Reconstruction 15
    • Advanced Image and Video Retrieval Techniques 14
    • Advanced Vision and Imaging 10
    • 3D Surveying and Cultural Heritage 33

Filippo Stanco

93 papers receiving 1.0k citations

Peers

Filippo Stanco
Comparison fields: 5 of 121
  • Space and Planetary Science 78
  • Geology 193
  • Computer Vision and Pattern Recognition 630
  • Conservation 77
  • Media Technology 126
Replace Guohua Geng with:
Guohua Geng China
Ayan Kumar Bhunia United Kingdom
Steve Seitz United States
Shenchang Eric Chen Israel
Zeno Geradts Netherlands
S.E. Grigorescu Netherlands
Rahmita Wirza O. K. Rahmat Malaysia
Andrés Fuster-Guilló Spain
Filippo Stanco relative to Guohua Geng China Guohua Geng's profile →
Citations per field
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Citations per year

Countries citing papers authored by Filippo Stanco

Since Specialization
Citations

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

Fields of papers citing papers by Filippo Stanco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 96 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002143
2 201691
3 201566
4 201761
5 200432
6 200431
7 200530
8 201829
9 202029
10 201229
11 200427
12 200724
13 201719
14 201719
15 200717
16 201917
17 201515
18 201814
19 201714
20 201214

About Filippo Stanco

Filippo Stanco is a scholar working on Computer Vision and Pattern Recognition, Geology, Archeology, Space and Planetary Science and Artificial Intelligence, having authored 96 papers that have together received 1.1k indexed citations. Recurring topics across this work include 3D Surveying and Cultural Heritage (33 papers), Image Retrieval and Classification Techniques (16 papers), Image Processing and 3D Reconstruction (15 papers), Advanced Image and Video Retrieval Techniques (14 papers), Cultural Heritage Materials Analysis (14 papers), Archaeological Research and Protection (12 papers), Advanced Vision and Imaging (10 papers) and Color Science and Applications (8 papers). The work is most often cited by research in Space and Planetary Science (78 citations), Geology (193 citations), Computer Vision and Pattern Recognition (630 citations), Conservation (77 citations) and Media Technology (126 citations). Filippo Stanco has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Sebastiano Battiato, Giovanni Gallo, Dario Allegra, Giovanni Maria Farinella, Davide Tanasi, Giovanni Ramponi, Francesco Rundo, Anna Maria Gueli, G. Impoco and Giuseppe Luigi Banna. Their work appears in journals such as Virtual Archaeology Review, Pattern Recognition Letters, Lecture notes in computer science, Journal on Computing and Cultural Heritage and IEEE Transactions on Image Processing.

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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