Aurelio La Corte

117 total papers · 990 total citations
75 papers, 625 citations indexed

About

Aurelio La Corte is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Sociology and Political Science. According to data from OpenAlex, Aurelio La Corte has authored 75 papers receiving a total of 625 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Computer Networks and Communications, 23 papers in Electrical and Electronic Engineering and 14 papers in Sociology and Political Science. Recurrent topics in Aurelio La Corte's work include Network Traffic and Congestion Control (18 papers), Complex Network Analysis Techniques (12 papers) and Multimedia Communication and Technology (10 papers). Aurelio La Corte is often cited by papers focused on Network Traffic and Congestion Control (18 papers), Complex Network Analysis Techniques (12 papers) and Multimedia Communication and Technology (10 papers). Aurelio La Corte collaborates with scholars based in Italy, United Kingdom and United States. Aurelio La Corte's co-authors include Marialisa Scatà, Alessandro Di Stefano, Píetro Lió, Giulio Siracusano, Giovanni Finocchio, Alfio Lombardo, Giovanni Schembra, Mario Carpentieri, Riccardo Tomasello and Francesco Lamonaca and has published in prestigious journals such as PLoS ONE, Journal of Applied Physics and Physical Review B.

In The Last Decade

Aurelio La Corte

68 papers receiving 598 citations

Author Peers

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

Author						Papers	Cites
Aurelio La Corte	215	133	100	91	61	75	625
Yezhou Wu	101 0.5×	170 1.3×	98 1.0×	21 0.2×	91 1.5×	34	711
Yuwei Wang	57 0.3×	144 1.1×	25 0.3×	23 0.3×	28 0.5×	57	615
Ge Chen	183 0.9×	37 0.3×	289 2.9×	115 1.3×	13 0.2×	77	693
Sahar Ahmed Idris	108 0.5×	66 0.5×	54 0.5×	17 0.2×	28 0.5×	55	622
Justin Zhan	78 0.4×	72 0.5×	111 1.1×	66 0.7×	14 0.2×	43	572
Richard Southwell	150 0.7×	161 1.2×	46 0.5×	36 0.4×	66 1.1×	30	751
Yuchen Zhao	116 0.5×	42 0.3×	102 1.0×	51 0.6×	43 0.7×	65	712
Haibin Zhang	93 0.4×	94 0.7×	180 1.8×	21 0.2×	49 0.8×	46	650
Rafael Guzmán-Cabrera	35 0.2×	108 0.8×	39 0.4×	64 0.7×	33 0.5×	72	591
Najem Moussa	55 0.3×	44 0.3×	43 0.4×	48 0.5×	49 0.8×	62	695

Countries citing papers authored by Aurelio La Corte

Since Specialization

Citations

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

Fields of papers citing papers by Aurelio La Corte

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aurelio La Corte. 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 Aurelio La Corte. The network helps show where Aurelio La Corte may publish in the future.

Co-authorship network of co-authors of Aurelio La Corte

This figure shows the co-authorship network connecting the top 25 collaborators of Aurelio La Corte. A scholar is included among the top collaborators of Aurelio La Corte 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 Aurelio La Corte. Aurelio La Corte 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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