Luca De Cicco

100 total papers · 2.2k total citations
66 papers, 1.4k citations indexed

About

Luca De Cicco is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Luca De Cicco has authored 66 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Computer Networks and Communications, 29 papers in Computer Vision and Pattern Recognition and 23 papers in Electrical and Electronic Engineering. Recurrent topics in Luca De Cicco's work include Network Traffic and Congestion Control (36 papers), Image and Video Quality Assessment (26 papers) and Video Coding and Compression Technologies (21 papers). Luca De Cicco is often cited by papers focused on Network Traffic and Congestion Control (36 papers), Image and Video Quality Assessment (26 papers) and Video Coding and Compression Technologies (21 papers). Luca De Cicco collaborates with scholars based in Italy, Mexico and France. Luca De Cicco's co-authors include Saverio Mascolo, Vittorio Palmisano, Gaetano Carlucci, Stefan Holmer, Anh Vu Nguyen‐Ngoc, Thomas Zinner, Phuoc Tran‐Gia, Enrico Bocchi, Dario Rossi and Joaquín García-Alfaro and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Automatic Control and Automatica.

In The Last Decade

Luca De Cicco

59 papers receiving 1.3k citations

Author Peers

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

Author Last Decade Papers Cites
Luca De Cicco 918 854 506 351 201 66 1.4k
Jiyan Wu 726 0.8× 534 0.6× 349 0.7× 642 1.8× 88 0.4× 54 1.2k
Xiaoqi Yin 630 0.7× 1.3k 1.5× 777 1.5× 221 0.6× 253 1.3× 35 1.5k
K.A. Hua 1.5k 1.6× 469 0.5× 273 0.5× 142 0.4× 431 2.1× 64 1.8k
Wenwu Zhu 850 0.9× 514 0.6× 471 0.9× 533 1.5× 216 1.1× 36 1.3k
Wai-Tian Tan 962 1.0× 642 0.8× 563 1.1× 476 1.4× 124 0.6× 88 1.5k
Magda El Zarki 1.3k 1.4× 425 0.5× 364 0.7× 897 2.6× 109 0.5× 96 1.7k
Ravi Netravali 935 1.0× 1.0k 1.2× 513 1.0× 430 1.2× 191 1.0× 50 1.8k
Nikolaos Thomos 634 0.7× 427 0.5× 247 0.5× 435 1.2× 39 0.2× 85 1.1k
Xinggong Zhang 419 0.5× 865 1.0× 597 1.2× 151 0.4× 172 0.9× 72 1.1k
Florian Wamser 718 0.8× 575 0.7× 170 0.3× 278 0.8× 170 0.8× 79 1.1k

Countries citing papers authored by Luca De Cicco

Since Specialization
Citations

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

Fields of papers citing papers by Luca De Cicco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Luca De Cicco. 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 Luca De Cicco. The network helps show where Luca De Cicco may publish in the future.

Co-authorship network of co-authors of Luca De Cicco

This figure shows the co-authorship network connecting the top 25 collaborators of Luca De Cicco. A scholar is included among the top collaborators of Luca De Cicco 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 Luca De Cicco. Luca De Cicco 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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2026