Claudio De Stefano

159 total papers · 2.3k total citations
90 papers, 1.1k citations indexed

About

Claudio De Stefano is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Claudio De Stefano has authored 90 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Computer Vision and Pattern Recognition, 47 papers in Artificial Intelligence and 7 papers in Molecular Biology. Recurrent topics in Claudio De Stefano's work include Handwritten Text Recognition Techniques (31 papers), Neural Networks and Applications (18 papers) and Image Retrieval and Classification Techniques (15 papers). Claudio De Stefano is often cited by papers focused on Handwritten Text Recognition Techniques (31 papers), Neural Networks and Applications (18 papers) and Image Retrieval and Classification Techniques (15 papers). Claudio De Stefano collaborates with scholars based in Italy, Netherlands and Portugal. Claudio De Stefano's co-authors include Francesco Fontanella, Alessandra Scotto di Freca, Angelo Marcelli, Antonio Della Cioppa, Nicole Dalia Cilia, M. Vento, Carlo Sansone, Claudio Marrocco, L.P. Cordella and Giuseppe Pirlo and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Pattern Recognition.

In The Last Decade

Claudio De Stefano

81 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Claudio De Stefano 600 474 125 104 98 90 1.1k
Mohamed Batouche 474 0.8× 367 0.8× 156 1.2× 111 1.1× 113 1.2× 115 1.2k
Xiaowei Yang 689 1.1× 487 1.0× 165 1.3× 104 1.0× 96 1.0× 79 1.4k
Cheng Liu 665 1.1× 465 1.0× 119 1.0× 158 1.5× 48 0.5× 94 1.4k
Petr Somol 473 0.8× 369 0.8× 62 0.5× 136 1.3× 93 0.9× 47 938
Leonardo Trujillo 619 1.0× 410 0.9× 111 0.9× 132 1.3× 35 0.4× 125 1.5k
Yuqing Song 352 0.6× 594 1.3× 72 0.6× 89 0.9× 80 0.8× 137 1.3k
Miao Xu 893 1.5× 544 1.1× 72 0.6× 60 0.6× 42 0.4× 62 1.4k
Nagwan Abdel Samee 592 1.0× 339 0.7× 79 0.6× 55 0.5× 34 0.3× 100 1.3k
Marco Maggini 757 1.3× 452 1.0× 99 0.8× 69 0.7× 57 0.6× 82 1.4k
Karla Brkić 457 0.8× 361 0.8× 57 0.5× 94 0.9× 66 0.7× 38 1.2k

Countries citing papers authored by Claudio De Stefano

Since Specialization
Citations

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

Fields of papers citing papers by Claudio De Stefano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Claudio De Stefano. 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 Claudio De Stefano. The network helps show where Claudio De Stefano may publish in the future.

Co-authorship network of co-authors of Claudio De Stefano

This figure shows the co-authorship network connecting the top 25 collaborators of Claudio De Stefano. A scholar is included among the top collaborators of Claudio De Stefano 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 Claudio De Stefano. Claudio De Stefano 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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