Andrea Campagna

23 total papers · 464 total citations
13 papers, 260 citations indexed

About

Andrea Campagna is a scholar working on Building and Construction, Information Systems and Artificial Intelligence. According to data from OpenAlex, Andrea Campagna has authored 13 papers receiving a total of 260 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Building and Construction, 5 papers in Information Systems and 5 papers in Artificial Intelligence. Recurrent topics in Andrea Campagna's work include Urban and Freight Transport Logistics (6 papers), Data Mining Algorithms and Applications (5 papers) and Maritime Ports and Logistics (4 papers). Andrea Campagna is often cited by papers focused on Urban and Freight Transport Logistics (6 papers), Data Mining Algorithms and Applications (5 papers) and Maritime Ports and Logistics (4 papers). Andrea Campagna collaborates with scholars based in Italy, Denmark and Greece. Andrea Campagna's co-authors include Luca Persia, Adriano Alessandrini, F. Filippi, Paolo Delle Site, Rasmus Pagh, Antonio Polimeni, Antonio Comi and Konstantin Kutzkov and has published in prestigious journals such as Knowledge and Information Systems, Algorithmica and International Journal of Transport Development and Integration.

In The Last Decade

Andrea Campagna

12 papers receiving 246 citations

Author Peers

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

Author Last Decade Papers Cites
Andrea Campagna 166 114 53 46 44 13 260
Kay O. Ploetner 128 0.8× 107 0.9× 43 0.8× 15 0.3× 19 0.4× 12 297
Ryosuke Abe 110 0.7× 102 0.9× 21 0.4× 33 0.7× 24 0.5× 29 240
Eleni G. Mantouka 215 1.3× 113 1.0× 56 1.1× 65 1.4× 43 1.0× 20 325
Fanyou Wu 136 0.8× 107 0.9× 74 1.4× 93 2.0× 6 0.1× 11 325
Paul Bossauer 206 1.2× 125 1.1× 17 0.3× 20 0.4× 105 2.4× 24 298
María Alonso Raposo 145 0.9× 87 0.8× 78 1.5× 57 1.2× 36 0.8× 16 222
Yujie Li 192 1.2× 65 0.6× 168 3.2× 55 1.2× 33 0.8× 9 315
Junyi Ji 122 0.7× 201 1.8× 62 1.2× 144 3.1× 8 0.2× 22 320
Long Xuan Nguyen 75 0.5× 114 1.0× 79 1.5× 106 2.3× 12 0.3× 23 272
Fang Liu 142 0.9× 63 0.6× 114 2.2× 68 1.5× 12 0.3× 14 309

Countries citing papers authored by Andrea Campagna

Since Specialization
Citations

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

Fields of papers citing papers by Andrea Campagna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrea Campagna

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