Roberto Muscedere

66 total papers · 776 total citations
57 papers, 587 citations indexed

About

Roberto Muscedere is a scholar working on Electrical and Electronic Engineering, Computational Theory and Mathematics and Information Systems. According to data from OpenAlex, Roberto Muscedere has authored 57 papers receiving a total of 587 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Electrical and Electronic Engineering, 17 papers in Computational Theory and Mathematics and 16 papers in Information Systems. Recurrent topics in Roberto Muscedere's work include Numerical Methods and Algorithms (17 papers), Cryptography and Residue Arithmetic (14 papers) and Digital Filter Design and Implementation (10 papers). Roberto Muscedere is often cited by papers focused on Numerical Methods and Algorithms (17 papers), Cryptography and Residue Arithmetic (14 papers) and Digital Filter Design and Implementation (10 papers). Roberto Muscedere collaborates with scholars based in Canada and United States. Roberto Muscedere's co-authors include Majid Ahmadi, G.A. Jullien, Ashkan Hosseinzadeh Namin, Huapeng Wu, Rashid Rashidzadeh, Vassil S. Dimitrov, William C. Miller, Zheng Wu, Mitra Mirhassani and James W. Roberts and has published in prestigious journals such as IEEE Transactions on Computers, Electronics Letters and IEEE Transactions on Instrumentation and Measurement.

In The Last Decade

Roberto Muscedere

56 papers receiving 563 citations

Author Peers

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

Author						Papers	Cites
Roberto Muscedere	288	192	152	115	98	57	587
Mitra Mirhassani	372 1.3×	257 1.3×	111 0.7×	57 0.5×	52 0.5×	78	635
M. B. Srinivas	317 1.1×	167 0.9×	123 0.8×	123 1.1×	25 0.3×	87	677
Octavio Nieto-Taladriz	171 0.6×	107 0.6×	99 0.7×	43 0.4×	32 0.3×	49	614
Sa’ed Abed	102 0.4×	223 1.2×	61 0.4×	225 2.0×	116 1.2×	90	684
Bowen Zheng	133 0.5×	90 0.5×	38 0.3×	138 1.2×	30 0.3×	70	593
Tinghuan Chen	197 0.7×	177 0.9×	49 0.3×	208 1.8×	24 0.2×	48	625
Fei He	81 0.3×	180 0.9×	96 0.6×	235 2.0×	84 0.9×	79	586
Julio Villalba	237 0.8×	87 0.5×	407 2.7×	171 1.5×	34 0.3×	51	643
B S Kariyappa	277 1.0×	119 0.6×	32 0.2×	63 0.5×	40 0.4×	35	572
Klaus D. Müller-Glaser	247 0.9×	160 0.8×	55 0.4×	67 0.6×	55 0.6×	101	682

Countries citing papers authored by Roberto Muscedere

Since Specialization

Citations

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

Fields of papers citing papers by Roberto Muscedere

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roberto Muscedere

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