Matteo Vasirani

74 total papers · 1.5k total citations
40 papers, 930 citations indexed

About

Matteo Vasirani is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Information Systems. According to data from OpenAlex, Matteo Vasirani has authored 40 papers receiving a total of 930 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Electrical and Electronic Engineering, 15 papers in Control and Systems Engineering and 9 papers in Information Systems. Recurrent topics in Matteo Vasirani's work include Smart Grid Energy Management (18 papers), Traffic control and management (7 papers) and Service-Oriented Architecture and Web Services (7 papers). Matteo Vasirani is often cited by papers focused on Smart Grid Energy Management (18 papers), Traffic control and management (7 papers) and Service-Oriented Architecture and Web Services (7 papers). Matteo Vasirani collaborates with scholars based in Spain, Switzerland and Netherlands. Matteo Vasirani's co-authors include Sascha Ossowskí, Karl Aberer, Tri Kurniawan Wijaya, Ramachandra Kota, Renato L. G. Cavalcante, Nicholas R. Jennings, Franco Zambonelli, Marco Mamei, Evangelos Pournaras and Robert E. Kooij and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Smart Grid and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Matteo Vasirani

36 papers receiving 903 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 Vasirani 616 338 195 143 142 40 930
Muhammad Adnan 762 1.2× 391 1.2× 108 0.6× 116 0.8× 76 0.5× 62 1.2k
Ivana Dusparić 377 0.6× 300 0.9× 346 1.8× 199 1.4× 261 1.8× 75 1.1k
Kun Deng 204 0.3× 324 1.0× 177 0.9× 226 1.6× 95 0.7× 57 1.0k
Wang Wei 921 1.5× 493 1.5× 190 1.0× 105 0.7× 40 0.3× 40 1.2k
Zhe Yu 817 1.3× 386 1.1× 266 1.4× 136 1.0× 34 0.2× 70 1.1k
A. Prudenzi 920 1.5× 257 0.8× 123 0.6× 266 1.9× 36 0.3× 78 1.2k
Saber Talari 744 1.2× 325 1.0× 60 0.3× 125 0.9× 55 0.4× 23 1.1k
Hamed Kebriaei 483 0.8× 253 0.7× 128 0.7× 53 0.4× 59 0.4× 83 950
Yi Zhao 419 0.7× 112 0.3× 78 0.4× 59 0.4× 80 0.6× 65 938
Igor Machado Coelho 397 0.6× 300 0.9× 127 0.7× 100 0.7× 25 0.2× 60 1.1k

Countries citing papers authored by Matteo Vasirani

Since Specialization
Citations

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

Fields of papers citing papers by Matteo Vasirani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matteo Vasirani

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