Matteo Pradella

124 total papers · 1.4k total citations
53 papers, 568 citations indexed

About

Matteo Pradella is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Software. According to data from OpenAlex, Matteo Pradella has authored 53 papers receiving a total of 568 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Artificial Intelligence, 32 papers in Computational Theory and Mathematics and 16 papers in Software. Recurrent topics in Matteo Pradella's work include Formal Methods in Verification (21 papers), Logic, programming, and type systems (17 papers) and Advanced Software Engineering Methodologies (14 papers). Matteo Pradella is often cited by papers focused on Formal Methods in Verification (21 papers), Logic, programming, and type systems (17 papers) and Advanced Software Engineering Methodologies (14 papers). Matteo Pradella collaborates with scholars based in Italy, Switzerland and Germany. Matteo Pradella's co-authors include Guido Salvaneschi, Carlo Ghezzi, Pierluigi San Pietro, Angelo Morzenti, Stefano Crespi Reghizzi, Dino Mandrioli, Matteo Rossi, Luca Cavallaro, Luciano Baresi and Gian Pietro Picco and has published in prestigious journals such as SHILAP Revista de lepidopterología, ACM Computing Surveys and Pattern Recognition.

In The Last Decade

Matteo Pradella

50 papers receiving 521 citations

Author Peers

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

Author Last Decade Papers Cites
Matteo Pradella 352 263 196 171 109 53 568
Thomas A. Standish 282 0.8× 132 0.5× 73 0.4× 244 1.4× 134 1.2× 35 560
Tian Tian 350 1.0× 61 0.2× 132 0.7× 116 0.7× 147 1.3× 28 595
Marijn J. H. Heule 344 1.0× 159 0.6× 325 1.7× 53 0.3× 118 1.1× 61 611
Michele Loreti 267 0.8× 246 0.9× 174 0.9× 88 0.5× 61 0.6× 66 506
Carla Piazza 300 0.9× 131 0.5× 300 1.5× 76 0.4× 78 0.7× 58 602
Armando Tacchella 424 1.2× 136 0.5× 267 1.4× 59 0.3× 124 1.1× 62 642
Joseph Gil 395 1.1× 214 0.8× 102 0.5× 295 1.7× 186 1.7× 53 651
Carsten Sinz 312 0.9× 208 0.8× 242 1.2× 167 1.0× 238 2.2× 52 567
Chung Keung Poon 150 0.4× 324 1.2× 89 0.5× 85 0.5× 30 0.3× 69 605
Man‐Tak Shing 163 0.5× 162 0.6× 155 0.8× 155 0.9× 188 1.7× 79 504

Countries citing papers authored by Matteo Pradella

Since Specialization
Citations

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

Fields of papers citing papers by Matteo Pradella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matteo Pradella

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026