Gabriele Guarnieri

57 total papers · 627 total citations
34 papers, 403 citations indexed

About

Gabriele Guarnieri is a scholar working on Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics and Physiology. According to data from OpenAlex, Gabriele Guarnieri has authored 34 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 10 papers in Atomic and Molecular Physics, and Optics and 9 papers in Physiology. Recurrent topics in Gabriele Guarnieri's work include Image Enhancement Techniques (11 papers), Color Science and Applications (10 papers) and Advanced Vision and Imaging (9 papers). Gabriele Guarnieri is often cited by papers focused on Image Enhancement Techniques (11 papers), Color Science and Applications (10 papers) and Advanced Vision and Imaging (9 papers). Gabriele Guarnieri collaborates with scholars based in Italy, United States and India. Gabriele Guarnieri's co-authors include Giovanni Ramponi, G. Toigo, L Campanacci, Stefano Marsi, Francesca Ranieri, M. Ciman, Vittorio Rizzoli, L Faccini, Alessandra Raimondi and Maria João Valente and has published in prestigious journals such as American Journal of Clinical Nutrition, IEEE Transactions on Image Processing and IEEE Access.

In The Last Decade

Gabriele Guarnieri

28 papers receiving 364 citations

Author Peers

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

Author Last Decade Papers Cites
Gabriele Guarnieri 115 109 89 87 63 34 403
Misuk Ji 37 0.3× 12 0.1× 52 0.6× 16 0.2× 27 0.4× 39 370
Søren Kejser Jensen 97 0.8× 10 0.1× 22 0.2× 13 0.1× 72 1.1× 24 384
Michael Attas 6 0.1× 25 0.2× 14 0.2× 8 0.1× 27 0.4× 16 426
Cheng-Ting Lee 34 0.3× 8 0.1× 7 0.1× 10 0.1× 74 1.2× 45 346
Zhu Xiu-qin 26 0.2× 9 0.1× 35 0.4× 5 0.1× 26 0.4× 21 389
M. Silvestri 23 0.2× 9 0.1× 91 1.0× 15 0.2× 29 0.5× 18 420
Edward Muka 7 0.1× 161 1.5× 25 0.3× 9 0.1× 15 0.2× 27 413
Heping Hu 7 0.1× 65 0.6× 21 0.2× 2 0.0× 14 0.2× 26 446
Jui-Cheng Hsieh 13 0.1× 19 0.2× 13 0.1× 42 0.7× 19 422
Fanglin Li 18 0.2× 4 0.0× 50 0.6× 29 0.3× 8 0.1× 36 393

Countries citing papers authored by Gabriele Guarnieri

Since Specialization
Citations

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

Fields of papers citing papers by Gabriele Guarnieri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gabriele Guarnieri

This figure shows the co-authorship network connecting the top 25 collaborators of Gabriele Guarnieri. A scholar is included among the top collaborators of Gabriele Guarnieri 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 Gabriele Guarnieri. Gabriele Guarnieri 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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