Daniele Spaccini

38 total papers · 992 total citations
34 papers, 792 citations indexed

About

Daniele Spaccini is a scholar working on Ocean Engineering, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Daniele Spaccini has authored 34 papers receiving a total of 792 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Ocean Engineering, 16 papers in Computer Networks and Communications and 15 papers in Electrical and Electronic Engineering. Recurrent topics in Daniele Spaccini's work include Underwater Vehicles and Communication Systems (33 papers), Water Quality Monitoring Technologies (13 papers) and Energy Efficient Wireless Sensor Networks (11 papers). Daniele Spaccini is often cited by papers focused on Underwater Vehicles and Communication Systems (33 papers), Water Quality Monitoring Technologies (13 papers) and Energy Efficient Wireless Sensor Networks (11 papers). Daniele Spaccini collaborates with scholars based in Italy, United States and Portugal. Daniele Spaccini's co-authors include Chiara Petrioli, Roberto Petroccia, Stefano Basagni, John R. Potter, Petrika Gjanci, Valerio Di Valerio, Francesco Lo Presti, Angelo Capossele, Gianni Cario and Alessandro Casavola and has published in prestigious journals such as IEEE Journal on Selected Areas in Communications, Journal of Marine Systems and Ad Hoc Networks.

In The Last Decade

Daniele Spaccini

32 papers receiving 764 citations

Author Peers

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

Author						Papers	Cites
Daniele Spaccini	674	464	416	188	137	34	792
Filippo Campagnaro	623 0.9×	275 0.6×	433 1.0×	143 0.8×	173 1.3×	71	700
Adil A. Sheikh	461 0.7×	351 0.8×	367 0.9×	144 0.8×	69 0.5×	27	665
Wei Su	438 0.6×	324 0.7×	410 1.0×	93 0.5×	88 0.6×	50	722
Emrecan Demirors	409 0.6×	247 0.5×	514 1.2×	69 0.4×	122 0.9×	47	718
Shiraz Shahabudeen	820 1.2×	355 0.8×	624 1.5×	117 0.6×	256 1.9×	16	874
Lina Pu	428 0.6×	368 0.8×	580 1.4×	51 0.3×	69 0.5×	61	810
Michael Zuba	597 0.9×	449 1.0×	388 0.9×	73 0.4×	105 0.8×	33	677
Chenyu Zhang	427 0.6×	470 1.0×	529 1.3×	70 0.4×	48 0.4×	21	740
Anwar Khan	367 0.5×	443 1.0×	308 0.7×	112 0.6×	36 0.3×	48	687
Yu Luo	377 0.6×	343 0.7×	567 1.4×	38 0.2×	56 0.4×	58	732

Countries citing papers authored by Daniele Spaccini

Since Specialization

Citations

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

Fields of papers citing papers by Daniele Spaccini

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniele Spaccini

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