Matteo Naccari

52 total papers · 1.1k total citations
42 papers, 782 citations indexed

About

Matteo Naccari is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Electrical and Electronic Engineering. According to data from OpenAlex, Matteo Naccari has authored 42 papers receiving a total of 782 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Computer Vision and Pattern Recognition, 36 papers in Signal Processing and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Matteo Naccari's work include Video Coding and Compression Technologies (36 papers), Image and Video Quality Assessment (26 papers) and Advanced Image Processing Techniques (17 papers). Matteo Naccari is often cited by papers focused on Video Coding and Compression Technologies (36 papers), Image and Video Quality Assessment (26 papers) and Advanced Image Processing Techniques (17 papers). Matteo Naccari collaborates with scholars based in United Kingdom, Italy and Portugal. Matteo Naccari's co-authors include Marco Tagliasacchi, Stefano Tubaro, Fernando Pereira, F. Simone, Touradj Ebrahimi, Marta Mrak, Fréderic Dufaux, Davide Migliore, Matteo Matteucci and David S. Flynn and has published in prestigious journals such as IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Multimedia and IEEE Journal of Selected Topics in Signal Processing.

In The Last Decade

Matteo Naccari

42 papers receiving 752 citations

Author Peers

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

Author Last Decade Papers Cites
Matteo Naccari 751 417 56 38 27 42 782
Marta Mrak 774 1.0× 466 1.1× 98 1.8× 50 1.3× 43 1.6× 104 833
Tung Nguyen 705 0.9× 641 1.5× 40 0.7× 25 0.7× 24 0.9× 35 765
Xiang Li 737 1.0× 678 1.6× 21 0.4× 30 0.8× 46 1.7× 45 822
Yaowu Xu 571 0.8× 421 1.0× 37 0.7× 23 0.6× 32 1.2× 53 620
Tobias Hinz 685 0.9× 595 1.4× 33 0.6× 19 0.5× 33 1.2× 23 723
Christos G. Bampis 656 0.9× 170 0.4× 136 2.4× 53 1.4× 13 0.5× 37 726
S. Panchanathan 606 0.8× 225 0.5× 77 1.4× 20 0.5× 52 1.9× 40 699
Karsten Mueller 590 0.8× 390 0.9× 66 1.2× 27 0.7× 30 1.1× 23 630
Xiaozheng Zhang 681 0.9× 452 1.1× 32 0.6× 13 0.3× 30 1.1× 29 763
Philippe Hanhart 760 1.0× 301 0.7× 101 1.8× 22 0.6× 21 0.8× 52 853

Countries citing papers authored by Matteo Naccari

Since Specialization
Citations

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

Fields of papers citing papers by Matteo Naccari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matteo Naccari

This figure shows the co-authorship network connecting the top 25 collaborators of Matteo Naccari. A scholar is included among the top collaborators of Matteo Naccari 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 Matteo Naccari. Matteo Naccari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026