Edoardo Fadda

79 total papers · 781 total citations
48 papers, 434 citations indexed

About

Edoardo Fadda is a scholar working on Computer Networks and Communications, Industrial and Manufacturing Engineering and Artificial Intelligence. According to data from OpenAlex, Edoardo Fadda has authored 48 papers receiving a total of 434 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Networks and Communications, 12 papers in Industrial and Manufacturing Engineering and 11 papers in Artificial Intelligence. Recurrent topics in Edoardo Fadda's work include Transportation and Mobility Innovations (8 papers), Urban and Freight Transport Logistics (6 papers) and Scheduling and Optimization Algorithms (6 papers). Edoardo Fadda is often cited by papers focused on Transportation and Mobility Innovations (8 papers), Urban and Freight Transport Logistics (6 papers) and Scheduling and Optimization Algorithms (6 papers). Edoardo Fadda collaborates with scholars based in Italy, France and Canada. Edoardo Fadda's co-authors include Roberto Tadei, Guido Perboli, Daniele Manerba, Alfredo Cuzzocrea, Olivier Terzo, S. Carabelli, Mariangela Rosano, Luca Gobbato, Maria Elena Bruni and Paolo Brandimarte and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Automatic Control and European Journal of Operational Research.

In The Last Decade

Edoardo Fadda

42 papers receiving 413 citations

Author Peers

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

Author Last Decade Papers Cites
Edoardo Fadda 170 81 72 64 60 48 434
Fuqiang Lu 132 0.8× 62 0.8× 39 0.5× 55 0.9× 29 0.5× 55 433
Tatjana Davidović 239 1.4× 48 0.6× 130 1.8× 73 1.1× 60 1.0× 42 469
Marin Lujak 98 0.6× 59 0.7× 69 1.0× 60 0.9× 94 1.6× 35 389
Li Zhang 137 0.8× 53 0.7× 45 0.6× 63 1.0× 60 1.0× 67 479
Paweł Sitek 274 1.6× 122 1.5× 56 0.8× 50 0.8× 26 0.4× 49 489
Milica Šelmić 141 0.8× 70 0.9× 49 0.7× 111 1.7× 92 1.5× 30 403
Marta Flamini 200 1.2× 33 0.4× 56 0.8× 25 0.4× 52 0.9× 38 466
Igor Kabashkin 72 0.4× 48 0.6× 50 0.7× 30 0.5× 40 0.7× 78 373
Kiam Tian Seow 70 0.4× 60 0.7× 99 1.4× 54 0.8× 134 2.2× 45 458
Yi Ding 46 0.3× 128 1.6× 83 1.2× 71 1.1× 58 1.0× 53 493

Countries citing papers authored by Edoardo Fadda

Since Specialization
Citations

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

Fields of papers citing papers by Edoardo Fadda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Edoardo Fadda

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