Raimondo Giuliani

44 total papers · 645 total citations
30 papers, 464 citations indexed

About

Raimondo Giuliani is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Raimondo Giuliani has authored 30 papers receiving a total of 464 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 13 papers in Computer Vision and Pattern Recognition and 10 papers in Electrical and Electronic Engineering. Recurrent topics in Raimondo Giuliani's work include Digital Media Forensic Detection (12 papers), Wireless Signal Modulation Classification (10 papers) and Wireless Communication Security Techniques (3 papers). Raimondo Giuliani is often cited by papers focused on Digital Media Forensic Detection (12 papers), Wireless Signal Modulation Classification (10 papers) and Wireless Communication Security Techniques (3 papers). Raimondo Giuliani collaborates with scholars based in Italy, Slovenia and Czechia. Raimondo Giuliani's co-authors include Gianmarco Baldini, Gary Steri, Claudio Gentile, Ricardo Neisse, D. Tarchi, Franco Oliveri, Ioannis Kounelis, Roman Kamnik, Igor Nai-Fovino and Dimitris Geneiatakis and has published in prestigious journals such as Sensors, ISPRS Journal of Photogrammetry and Remote Sensing and Electronics Letters.

In The Last Decade

Raimondo Giuliani

30 papers receiving 443 citations

Author Peers

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

Author						Papers	Cites
Raimondo Giuliani	212	131	101	92	78	30	464
Abubakar Bala	122 0.6×	119 0.9×	108 1.1×	77 0.8×	31 0.4×	22	449
Xiang Wang	321 1.5×	117 0.9×	40 0.4×	136 1.5×	74 0.9×	36	539
Chengming Zou	141 0.7×	64 0.5×	40 0.4×	85 0.9×	44 0.6×	39	450
Yang Li	227 1.1×	59 0.5×	66 0.7×	166 1.8×	88 1.1×	22	515
Bo Mi	127 0.6×	95 0.7×	32 0.3×	71 0.8×	25 0.3×	50	482
Tian Huang	192 0.9×	87 0.7×	23 0.2×	61 0.7×	76 1.0×	49	533
Hao Wu	156 0.7×	84 0.6×	51 0.5×	159 1.7×	71 0.9×	44	496
Pietro Tedeschi	128 0.6×	139 1.1×	147 1.5×	48 0.5×	40 0.5×	32	540
Zilong Zhang	225 1.1×	74 0.6×	52 0.5×	40 0.4×	31 0.4×	38	456
Ao Li	133 0.6×	93 0.7×	46 0.5×	197 2.1×	31 0.4×	61	520

Countries citing papers authored by Raimondo Giuliani

Since Specialization

Citations

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

Fields of papers citing papers by Raimondo Giuliani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raimondo Giuliani

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