Alessandro Buccini

51 total papers · 497 total citations
42 papers, 314 citations indexed

About

Alessandro Buccini is a scholar working on Mathematical Physics, Computational Mechanics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Alessandro Buccini has authored 42 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Mathematical Physics, 23 papers in Computational Mechanics and 13 papers in Computer Vision and Pattern Recognition. Recurrent topics in Alessandro Buccini's work include Numerical methods in inverse problems (31 papers), Sparse and Compressive Sensing Techniques (22 papers) and Image and Signal Denoising Methods (12 papers). Alessandro Buccini is often cited by papers focused on Numerical methods in inverse problems (31 papers), Sparse and Compressive Sensing Techniques (22 papers) and Image and Signal Denoising Methods (12 papers). Alessandro Buccini collaborates with scholars based in Italy, United States and China. Alessandro Buccini's co-authors include Lothar Reichel, Marco Donatelli, Ken Hayami, Ning Zheng, Davide Bianchi, Ronny Ramlau, Stefano Serra‐Capizzano, Andrea Martinelli, Ting‐Zhu Huang and Yaru Fan and has published in prestigious journals such as Applied Mathematics and Computation, SIAM Journal on Scientific Computing and Journal of Computational and Applied Mathematics.

In The Last Decade

Alessandro Buccini

36 papers receiving 307 citations

Author Peers

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

Author Last Decade Papers Cites
Alessandro Buccini 181 145 84 66 58 42 314
Silvia Gazzola 193 1.1× 134 0.9× 69 0.8× 48 0.7× 65 1.1× 31 301
Toomas Raus 212 1.2× 96 0.7× 44 0.5× 77 1.2× 14 0.2× 21 287
Yat Tin Chow 165 0.9× 50 0.3× 38 0.5× 148 2.2× 53 0.9× 26 364
Yohann de Castro 75 0.4× 222 1.5× 89 1.1× 78 1.2× 24 0.4× 24 345
M. Tadi 125 0.7× 50 0.3× 18 0.2× 53 0.8× 54 0.9× 55 349
Emmanuel Soubies 46 0.3× 180 1.2× 74 0.9× 130 2.0× 16 0.3× 30 363
Élie Bretin 61 0.3× 118 0.8× 14 0.2× 74 1.1× 67 1.2× 30 333
Tapio Helin 84 0.5× 28 0.2× 33 0.4× 70 1.1× 38 0.7× 34 311
Djalil Kateb 174 1.0× 60 0.4× 24 0.3× 27 0.4× 120 2.1× 25 285
Luca Calatroni 44 0.2× 91 0.6× 137 1.6× 29 0.4× 58 1.0× 34 282

Countries citing papers authored by Alessandro Buccini

Since Specialization
Citations

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

Fields of papers citing papers by Alessandro Buccini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alessandro Buccini

This figure shows the co-authorship network connecting the top 25 collaborators of Alessandro Buccini. A scholar is included among the top collaborators of Alessandro Buccini 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 Alessandro Buccini. Alessandro Buccini 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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2026