Fabio Verdicchio

67 total papers · 432 total citations
40 papers, 277 citations indexed

About

Fabio Verdicchio is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Electrical and Electronic Engineering. According to data from OpenAlex, Fabio Verdicchio has authored 40 papers receiving a total of 277 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Vision and Pattern Recognition, 21 papers in Signal Processing and 8 papers in Electrical and Electronic Engineering. Recurrent topics in Fabio Verdicchio's work include Advanced Data Compression Techniques (22 papers), Video Coding and Compression Technologies (20 papers) and Image and Signal Denoising Methods (9 papers). Fabio Verdicchio is often cited by papers focused on Advanced Data Compression Techniques (22 papers), Video Coding and Compression Technologies (20 papers) and Image and Signal Denoising Methods (9 papers). Fabio Verdicchio collaborates with scholars based in Belgium, United Kingdom and Netherlands. Fabio Verdicchio's co-authors include Gorry Fairhurst, Sajid Nazir, Peter Schelkens, René van der Wal, Scott Newey, Adrian Munteanu, Paul Davidson, R. Justin Irvine, Jan Cornelis and Joeri Barbarien and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Image Processing and IEEE Transactions on Circuits and Systems for Video Technology.

In The Last Decade

Fabio Verdicchio

33 papers receiving 260 citations

Author Peers

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

Author						Papers	Cites
Fabio Verdicchio	129	85	84	59	44	40	277
Yongsu Park	67 0.5×	36 0.4×	49 0.6×	17 0.3×	63 1.4×	55	275
Youngho Cho	21 0.2×	50 0.6×	19 0.2×	22 0.4×	114 2.6×	33	310
Peter Ranacher	17 0.1×	44 0.5×	55 0.7×	20 0.3×	12 0.3×	17	323
Ahmed A. Hussain	26 0.2×	25 0.3×	128 1.5×	6 0.1×	15 0.3×	37	313
Gang He	61 0.5×	14 0.2×	16 0.2×	8 0.1×	89 2.0×	39	267
Bas Boom	172 1.3×	13 0.2×	39 0.5×	6 0.1×	15 0.3×	25	283
Carl D. Mitchell	34 0.3×	92 1.1×	88 1.0×	18 0.3×	8 0.2×	32	301
Vikram Aditya	35 0.3×	39 0.5×	25 0.3×	8 0.1×	47 1.1×	23	183
Tom Arbuckle	58 0.4×	18 0.2×	7 0.1×	30 0.5×	40 0.9×	18	253
Zhou Wen	73 0.6×	17 0.2×	19 0.2×	3 0.1×	35 0.8×	53	317

Countries citing papers authored by Fabio Verdicchio

Since Specialization

Citations

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

Fields of papers citing papers by Fabio Verdicchio

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabio Verdicchio

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