Donato Pirozzi

37 total papers · 451 total citations
32 papers, 271 citations indexed

About

Donato Pirozzi is a scholar working on Computer Vision and Pattern Recognition, Information Systems and Management and Signal Processing. According to data from OpenAlex, Donato Pirozzi has authored 32 papers receiving a total of 271 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 10 papers in Information Systems and Management and 9 papers in Signal Processing. Recurrent topics in Donato Pirozzi's work include Data Visualization and Analytics (12 papers), Music and Audio Processing (7 papers) and Scientific Computing and Data Management (7 papers). Donato Pirozzi is often cited by papers focused on Data Visualization and Analytics (12 papers), Music and Audio Processing (7 papers) and Scientific Computing and Data Management (7 papers). Donato Pirozzi collaborates with scholars based in Italy, United Kingdom and Saudi Arabia. Donato Pirozzi's co-authors include Delfina Malandrino, Vittorio Scarano, Rocco Zaccagnino, Mithileysh Sathiyanarayanan, Roberto De Prisco, Andrew Fish, Nicola Lettieri, Gennaro Cordasco, Carmine Spagnuolo and Andrea Petta and has published in prestigious journals such as IEEE Transactions on Industrial Informatics, Multimedia Tools and Applications and Information Visualization.

In The Last Decade

Donato Pirozzi

32 papers receiving 265 citations

Author Peers

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

Author Last Decade Papers Cites
Donato Pirozzi 137 66 59 51 44 32 271
Nicola Lettieri 70 0.5× 54 0.8× 84 1.4× 62 1.2× 47 1.1× 35 271
Alfonso Guarino 53 0.4× 53 0.8× 79 1.3× 89 1.7× 64 1.5× 30 288
Fabiana Vernero 56 0.4× 13 0.2× 63 1.1× 77 1.5× 133 3.0× 39 295
Lyndsey Franklin 136 1.0× 27 0.4× 25 0.4× 80 1.6× 34 0.8× 19 261
James Williams 133 1.0× 44 0.7× 47 0.8× 111 2.2× 87 2.0× 45 306
Mauri Kaipainen 33 0.2× 24 0.4× 45 0.8× 73 1.4× 19 0.4× 38 251
Hwaran Lee 124 0.9× 38 0.6× 15 0.3× 134 2.6× 21 0.5× 26 312
Mettina Veenstra 69 0.5× 14 0.2× 50 0.8× 67 1.3× 50 1.1× 22 219
Robert Thomson 16 0.1× 29 0.4× 45 0.8× 115 2.3× 114 2.6× 37 320
Chienting Lin 42 0.3× 32 0.5× 66 1.1× 84 1.6× 116 2.6× 21 311

Countries citing papers authored by Donato Pirozzi

Since Specialization
Citations

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

Fields of papers citing papers by Donato Pirozzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Donato Pirozzi

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