Cecilia Pasquini

51 total papers · 1.1k total citations
31 papers, 736 citations indexed

About

Cecilia Pasquini is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Cecilia Pasquini has authored 31 papers receiving a total of 736 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 4 papers in Signal Processing. Recurrent topics in Cecilia Pasquini's work include Digital Media Forensic Detection (29 papers), Advanced Steganography and Watermarking Techniques (19 papers) and Generative Adversarial Networks and Image Synthesis (7 papers). Cecilia Pasquini is often cited by papers focused on Digital Media Forensic Detection (29 papers), Advanced Steganography and Watermarking Techniques (19 papers) and Generative Adversarial Networks and Image Synthesis (7 papers). Cecilia Pasquini collaborates with scholars based in Italy, Austria and Germany. Cecilia Pasquini's co-authors include Giulia Boato, Valentina Conotter, Duc‐Tien Dang‐Nguyen, Fernando Pérez‐González, Rainer Böhme, Francesco G. B. De Natale, Irene Amerini, Valérie Goffaux, Naif Alajlan and Pedro Comesaña and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and IEEE Signal Processing Magazine.

In The Last Decade

Cecilia Pasquini

31 papers receiving 714 citations

Hit Papers

RAISE 2015 2026 2018 2022 2015 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Cecilia Pasquini 666 129 109 87 56 31 736
Valentina Conotter 650 1.0× 129 1.0× 73 0.7× 66 0.8× 51 0.9× 30 707
Francesco Marra 616 0.9× 48 0.4× 186 1.7× 76 0.9× 49 0.9× 12 707
Marco Fontani 761 1.1× 114 0.9× 112 1.0× 73 0.8× 72 1.3× 30 822
Zeno Geradts 556 0.8× 87 0.7× 84 0.8× 128 1.5× 135 2.4× 72 802
Thomas Gloe 872 1.3× 264 2.0× 76 0.7× 46 0.5× 105 1.9× 13 909
Vijay H. Mankar 782 1.2× 201 1.6× 68 0.6× 39 0.4× 41 0.7× 26 806
Wei Sun 703 1.1× 238 1.8× 90 0.8× 25 0.3× 37 0.7× 29 801
Peisong He 587 0.9× 37 0.3× 117 1.1× 221 2.5× 35 0.6× 45 730
Hanqing Zhao 780 1.2× 45 0.3× 211 1.9× 91 1.0× 25 0.4× 19 868
Pei-Yu Lin 732 1.1× 81 0.6× 153 1.4× 54 0.6× 190 3.4× 57 880

Countries citing papers authored by Cecilia Pasquini

Since Specialization
Citations

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

Fields of papers citing papers by Cecilia Pasquini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cecilia Pasquini

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

All Works

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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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