Luisa Verdoliva

11.4k total citations · 5 hit papers
126 papers, 6.1k citations indexed

About

Luisa Verdoliva is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Signal Processing. According to data from OpenAlex, Luisa Verdoliva has authored 126 papers receiving a total of 6.1k indexed citations (citations by other indexed papers that have themselves been cited), including 98 papers in Computer Vision and Pattern Recognition, 42 papers in Media Technology and 17 papers in Signal Processing. Recurrent topics in Luisa Verdoliva's work include Digital Media Forensic Detection (50 papers), Image and Signal Denoising Methods (31 papers) and Advanced Steganography and Watermarking Techniques (20 papers). Luisa Verdoliva is often cited by papers focused on Digital Media Forensic Detection (50 papers), Image and Signal Denoising Methods (31 papers) and Advanced Steganography and Watermarking Techniques (20 papers). Luisa Verdoliva collaborates with scholars based in Italy, United States and Germany. Luisa Verdoliva's co-authors include Davide Cozzolino, Giovanni Poggi, Giuseppe Scarpa, Diego Gragnaniello, Giuseppe Masi, Carlo Sansone, Sara Parrilli, Francesco Marra, Cesario Vincenzo Angelino and Giovanni Chierchia and has published in prestigious journals such as PLoS ONE, Scientific Reports and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Luisa Verdoliva

113 papers receiving 5.9k citations

Hit Papers

Pansharpening by Convolutional Neural Networks 2011 2026 2016 2021 2016 2011 2015 2019 2023 250 500 750

Peers

Luisa Verdoliva
Comparison fields: 5 of 119
  • Computer Vision and Pattern Recognition 4.9k
  • Media Technology 2.5k
  • Signal Processing 761
  • Aerospace Engineering 653
  • Artificial Intelligence 650
Replace Giovanni Poggi with:
Giovanni Poggi Italy
Davide Cozzolino Italy
Patrick Pérez France
Chi–Keung Tang Hong Kong
Jianmin Bao China
Paolo Bestagini Italy
Qingmin Liao China
Xinghao Ding China
Chao Dong China
A. Mittal United States
Giovanni Poggi Italy View profile →
Citations per field, relative to Luisa Verdoliva
Luisa Verdoliva · 1×
Citations per year, relative to Luisa Verdoliva
Luisa Verdoliva · 1×

Countries citing papers authored by Luisa Verdoliva

Since Specialization
Citations

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

Fields of papers citing papers by Luisa Verdoliva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luisa Verdoliva

This figure shows the co-authorship network connecting the top 25 collaborators of Luisa Verdoliva. A scholar is included among the top collaborators of Luisa Verdoliva 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 Luisa Verdoliva. Luisa Verdoliva 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
# Work Indexed citations
1 0
2 19
3 3
4 9
5 0
6 7
7 19
8 5
9 3
10 225
11 19
12 19
13 60
14 157
15 49
16 83
17 11
18 25
19 4
20 13

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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