Sara Mandelli

729 citations
25 papers · 307 · h-index 9

Impact in

    • Digital Media Forensic Detection
    • Generative Adversarial Networks and Image Synthesis
    • Advanced Steganography and Watermarking Techniques
  • Geophysics top 10%
    • Seismic Imaging and Inversion Techniques
    • Seismic Waves and Analysis

Papers in

Sara Mandelli

22 papers receiving 303 citations

Peers

Sara Mandelli
Comparison fields: 5 of 48
  • Computer Vision and Pattern Recognition 201
  • Geophysics 78
  • Space and Planetary Science 4
  • Media Technology 27
  • Ocean Engineering 46
Replace Silvia Lameri with:
Silvia Lameri Italy
Ricard Durall Germany
Gwantae Kim South Korea
Jakob Kruse Germany
Liang Han China
Ankur Mali United States
Snigdha Tariyal India
Dongdong Zhao China
Edouard Oyallon France
P. Mazurek Poland
Sara Mandelli relative to Silvia Lameri Italy Silvia Lameri's profile →
Citations per field
00.5×4.2×
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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201884
2 202336
3 202036
4 202029
5 202227
6 202220
7 201811
8 201810
9 20219
10 20208
11 20187
12 20236
13 20224
14 20214
15 20244
16 20173
17 20143
18 20252
19 20251
20 20231

About Sara Mandelli

Sara Mandelli is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Law, Signal Processing and Molecular Biology, having authored 25 papers that have together received 307 indexed citations. Recurring topics across this work include Digital Media Forensic Detection (17 papers), Advanced Steganography and Watermarking Techniques (8 papers), Law in Society and Culture (5 papers), Generative Adversarial Networks and Image Synthesis (5 papers), Music and Audio Processing (4 papers), Anomaly Detection Techniques and Applications (3 papers), Speech and Audio Processing (3 papers) and Advanced Image Processing Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (201 citations), Geophysics (78 citations), Space and Planetary Science (4 citations), Media Technology (27 citations) and Ocean Engineering (46 citations). Sara Mandelli has collaborated with scholars based in Italy, United States and China. Frequent co-authors include Stefano Tubaro, Paolo Bestagini, Nicolò Bonettini, Vincenzo Lipari, Federico Borra, Augusto Sarti, Luisa Verdoliva, Weiming Zhang, Honggu Liu and Wenbo Zhou. Their work appears in journals such as IEEE Access, Remote Sensing, Journal of Imaging, 2022 IEEE International Conference on Image Processing (ICIP) and DOAJ (DOAJ: Directory of Open Access Journals).

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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