Roberto Pagliari

25 total papers · 549 total citations
19 papers, 333 citations indexed

About

Roberto Pagliari is a scholar working on Computer Networks and Communications, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Roberto Pagliari has authored 19 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Networks and Communications, 6 papers in Artificial Intelligence and 5 papers in Biomedical Engineering. Recurrent topics in Roberto Pagliari's work include Nonlinear Dynamics and Pattern Formation (8 papers), Network Time Synchronization Technologies (7 papers) and Distributed Sensor Networks and Detection Algorithms (5 papers). Roberto Pagliari is often cited by papers focused on Nonlinear Dynamics and Pattern Formation (8 papers), Network Time Synchronization Technologies (7 papers) and Distributed Sensor Networks and Detection Algorithms (5 papers). Roberto Pagliari collaborates with scholars based in United States, Italy and Taiwan. Roberto Pagliari's co-authors include Anna Scaglione, Gianluigi Ferrari, Y.-W. Peter Hong, Marco Martalò, Hamid Krim, Asuman Ozdaglar, Mehmet E. Yildiz, Ritu Chadha, Yitzchak M. Gottlieb and Akshay Vashist and has published in prestigious journals such as IEEE Journal on Selected Areas in Communications, IEEE Transactions on Aerospace and Electronic Systems and IEEE Transactions on Mobile Computing.

In The Last Decade

Roberto Pagliari

18 papers receiving 319 citations

Author Peers

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

Author						Papers	Cites
Roberto Pagliari	269	88	70	53	32	19	333
L. Schuchman	93 0.3×	50 0.6×	141 2.0×	60 1.1×	53 1.7×	16	354
Wu Zhu	114 0.4×	163 1.9×	49 0.7×	56 1.1×	6 0.2×	17	343
Ang Yang	87 0.3×	149 1.7×	125 1.8×	24 0.5×	46 1.4×	16	388
Peter Stavroulakis	175 0.7×	95 1.1×	107 1.5×	18 0.3×	76 2.4×	25	330
Yuanyuan Li	140 0.5×	76 0.9×	44 0.6×	10 0.2×	8 0.3×	21	329
Jinxin Zhang	243 0.9×	58 0.7×	46 0.7×	13 0.2×	10 0.3×	31	400
Sang Yong Han	148 0.6×	106 1.2×	105 1.5×	26 0.5×	53 1.7×	13	302
Yan Zhang	237 0.9×	142 1.6×	81 1.2×	11 0.2×	84 2.6×	22	362
Chunxiao Li	172 0.6×	113 1.3×	82 1.2×	10 0.2×	37 1.2×	31	363
Paul Tune	251 0.9×	115 1.3×	113 1.6×	10 0.2×	38 1.2×	27	328

Countries citing papers authored by Roberto Pagliari

Since Specialization

Citations

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

Fields of papers citing papers by Roberto Pagliari

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roberto Pagliari

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