Marco Paolieri

77 total papers · 1.3k total citations
42 papers, 750 citations indexed

About

Marco Paolieri is a scholar working on Hardware and Architecture, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Marco Paolieri has authored 42 papers receiving a total of 750 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Hardware and Architecture, 11 papers in Artificial Intelligence and 11 papers in Computational Theory and Mathematics. Recurrent topics in Marco Paolieri's work include Real-Time Systems Scheduling (13 papers), Parallel Computing and Optimization Techniques (12 papers) and Embedded Systems Design Techniques (9 papers). Marco Paolieri is often cited by papers focused on Real-Time Systems Scheduling (13 papers), Parallel Computing and Optimization Techniques (12 papers) and Embedded Systems Design Techniques (9 papers). Marco Paolieri collaborates with scholars based in Italy, United States and Spain. Marco Paolieri's co-authors include Francisco J. Cazorla, Eduardo Quiñones, Mateo Valero, Guillem Bernat, Enrico Vicario, András Horváth, Marco D. Santambrogio, Laura Carnevali, Leana Golubchik and Theo Ungerer and has published in prestigious journals such as IEEE Transactions on Biomedical Engineering, IEEE Transactions on Software Engineering and Transportation Research Part C Emerging Technologies.

In The Last Decade

Marco Paolieri

39 papers receiving 711 citations

Author Peers

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

Author Last Decade Papers Cites
Marco Paolieri 564 349 91 81 69 42 750
Alain Girault 426 0.8× 285 0.8× 178 2.0× 54 0.7× 67 1.0× 45 666
Sathish Gopalakrishnan 272 0.5× 428 1.2× 70 0.8× 116 1.4× 184 2.7× 71 817
Guillermo Rodríguez-Navas 416 0.7× 407 1.2× 217 2.4× 54 0.7× 75 1.1× 61 654
Françoise Simonot‐Lion 531 0.9× 290 0.8× 229 2.5× 65 0.8× 181 2.6× 58 759
Jaynarayan H. Lala 350 0.6× 404 1.2× 83 0.9× 64 0.8× 188 2.7× 42 631
T. B. Smith 482 0.9× 522 1.5× 55 0.6× 167 2.1× 133 1.9× 22 667
Christer Norström 463 0.8× 228 0.7× 219 2.4× 135 1.7× 37 0.5× 60 701
Shige Wang 458 0.8× 292 0.8× 116 1.3× 202 2.5× 155 2.2× 46 898
B.D. Theelen 610 1.1× 428 1.2× 128 1.4× 55 0.7× 47 0.7× 39 729
Krishna Kavi 417 0.7× 533 1.5× 87 1.0× 112 1.4× 66 1.0× 96 820

Countries citing papers authored by Marco Paolieri

Since Specialization
Citations

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

Fields of papers citing papers by Marco Paolieri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Paolieri

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