Leonardo Maccari

107 total papers · 775 total citations
64 papers, 516 citations indexed

About

Leonardo Maccari is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Information Systems. According to data from OpenAlex, Leonardo Maccari has authored 64 papers receiving a total of 516 indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Computer Networks and Communications, 22 papers in Electrical and Electronic Engineering and 5 papers in Information Systems. Recurrent topics in Leonardo Maccari's work include Mobile Ad Hoc Networks (22 papers), Opportunistic and Delay-Tolerant Networks (17 papers) and Caching and Content Delivery (16 papers). Leonardo Maccari is often cited by papers focused on Mobile Ad Hoc Networks (22 papers), Opportunistic and Delay-Tolerant Networks (17 papers) and Caching and Content Delivery (16 papers). Leonardo Maccari collaborates with scholars based in Italy, Spain and United States. Leonardo Maccari's co-authors include Renato Lo Cigno, Romano Fantacci, Francesco Chiti, Daniele Tarchi, Dania Marabissi, Rafael M. Gasca, Tommaso Pecorella, Pablo Neira, Llorenç Cerdà‐Alabern and Tommaso Melodia and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Communications Magazine and IEEE/ACM Transactions on Networking.

In The Last Decade

Leonardo Maccari

62 papers receiving 495 citations

Author Peers

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

Author Last Decade Papers Cites
Leonardo Maccari 414 153 60 57 35 64 516
Pedro B. Velloso 420 1.0× 191 1.2× 85 1.4× 67 1.2× 11 0.3× 34 554
Manuel Fernández‐Veiga 329 0.8× 341 2.2× 48 0.8× 47 0.8× 32 0.9× 79 581
Juan Hernández‐Serrano 348 0.8× 251 1.6× 131 2.2× 65 1.1× 35 1.0× 33 520
Hongyan Cui 250 0.6× 177 1.2× 129 2.1× 94 1.6× 16 0.5× 77 510
Huanyang Zheng 305 0.7× 121 0.8× 120 2.0× 168 2.9× 54 1.5× 47 537
Changjia Chen 389 0.9× 188 1.2× 127 2.1× 62 1.1× 28 0.8× 122 593
Aresh Dadlani 329 0.8× 309 2.0× 39 0.7× 26 0.5× 37 1.1× 46 555
András Gulyás 381 0.9× 143 0.9× 23 0.4× 38 0.7× 47 1.3× 52 503
Ke Wang 358 0.9× 320 2.1× 20 0.3× 91 1.6× 20 0.6× 75 552
Richard G. Clegg 312 0.8× 92 0.6× 67 1.1× 97 1.7× 44 1.3× 61 472

Countries citing papers authored by Leonardo Maccari

Since Specialization
Citations

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

Fields of papers citing papers by Leonardo Maccari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leonardo Maccari

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