Sara Mandelli

682 citations
23 papers · 295 indexed · h-index 9
Topics
Digital Media Forensic Detection (16 papers)Advanced Steganography and Watermarking Techniques (8 papers)Generative Adversarial Networks and Image Synthesis (5 papers)
Partner nations
ItalyUnited StatesCanada

In The Last Decade

Sara Mandelli

20 papers receiving 290 citations

Peers

Sara Mandelli
Comparison fields: 5 of 47
  • Computer Vision and Pattern Recognition 195
  • Geophysics 78
  • Artificial Intelligence 63
  • Ocean Engineering 46
  • Media Technology 27
Replace Silvia Lameri with:
Silvia Lameri Italy
Ricard Durall Germany
Gwantae Kim South Korea
Yves Mathieu France
Liang Han China
Marcelo Bernardes Vieira Brazil
Dongdong Zhao China
Snigdha Tariyal India
S. Lertrattanapanich United States
Edouard Oyallon France
Sara Mandelli relative to Silvia Lameri Italy Silvia Lameri's profile →
Citations per field
00.5×
Silvia Lameri · 1×
Citations per year

Countries citing papers authored by Sara Mandelli

Since Specialization
Citations

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

Fields of papers citing papers by Sara Mandelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sara Mandelli

This figure shows the co-authorship network connecting the top 25 collaborators of Sara Mandelli. A scholar is included among the top collaborators of Sara Mandelli 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 Sara Mandelli. Sara Mandelli 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 0
2 1
3 1
4 0
5 0
6 1
7 5
8 34
9 1
10 4
11 19
12 4
13 8
14 28
15 35
16 10
17 11
18 7
19 3
20 3

About Sara Mandelli

Sara Mandelli is a scholar working on Computer Vision and Pattern Recognition, Law and Signal Processing, having authored 23 papers that have together received 295 indexed citations. Recurring topics across this work include Digital Media Forensic Detection (16 papers), Advanced Steganography and Watermarking Techniques (8 papers) and Generative Adversarial Networks and Image Synthesis (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (195 citations), Geophysics (78 citations) and Space and Planetary Science (4 citations). Sara Mandelli has collaborated with scholars based in Italy, United States and Canada. Frequent co-authors include Stefano Tubaro, Paolo Bestagini, Nicolò Bonettini, Vincenzo Lipari, Federico Borra, Augusto Sarti, Luisa Verdoliva, Davide Salvi, Weiming Zhang and Honggu Liu. Their work appears in journals such as IEEE Access, Remote Sensing and Journal of Imaging.

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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