Luigia Puccio

516 citations
17 papers · 344 indexed · h-index 6
Topics
Image and Signal Denoising Methods (5 papers)Chaos-based Image/Signal Encryption (4 papers)Advanced Steganography and Watermarking Techniques (3 papers)
Partner nations
ItalyGermany

In The Last Decade

Luigia Puccio

16 papers receiving 312 citations

Peers

Luigia Puccio
Comparison fields: 5 of 62
  • Computer Vision and Pattern Recognition 241
  • Signal Processing 57
  • Media Technology 47
  • Applied Mathematics 38
  • Computational Mechanics 35
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Citations per field
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Citations per year

Countries citing papers authored by Luigia Puccio

Since Specialization
Citations

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

Fields of papers citing papers by Luigia Puccio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luigia Puccio

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

All Works

17 of 17 papers shown
#WorkIndexed citations
1 1
2 1
3 8
4 4
5 1
6
Artificial Neural Network (ANN) Morphological Classification by Euclidean Distance Histograms for Prognostic Evaluation of Magnetic Resonance Imaging in Multiple Sclerosis
0
7
A new class of non-separable symmetric wavelets for image processing
4
8 2
9
Algorithms for Large Sparse Matrices Based on Finite Element Method
2
10
Applied and industrial mathematics in Italy II : selected contributions from the 8th SIMAI Conference, Baia Samuele (Ragusa), Italy, 22-26 May 2006
1
11 53
12 2
13 35
14 78
15 1
16
Wavelets : theory, algorithms, and applications
146
17 5

About Luigia Puccio

Luigia Puccio is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Applied Mathematics, having authored 17 papers that have together received 344 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (5 papers), Chaos-based Image/Signal Encryption (4 papers) and Advanced Steganography and Watermarking Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (241 citations), Media Technology (47 citations) and Signal Processing (57 citations). Luigia Puccio has collaborated with scholars based in Italy and Germany. Frequent co-authors include Laura Montefusco, Charles K. Chui, Mariantonia Cotronei, Damiana Lazzaro, Angela Ricciardello, Gerardo Iovane, Vincenzo Cutello, Placido Bramanti, Andrew T. Walden and George Psihoyios. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Image Processing and Journal of the Royal Statistical Society Series A (Statistics in Society).

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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