Salvatore Serrano

82 total papers · 809 total citations
55 papers, 566 citations indexed

About

Salvatore Serrano is a scholar working on Signal Processing, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Salvatore Serrano has authored 55 papers receiving a total of 566 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Signal Processing, 17 papers in Artificial Intelligence and 15 papers in Computer Networks and Communications. Recurrent topics in Salvatore Serrano's work include Speech and Audio Processing (20 papers), Speech Recognition and Synthesis (14 papers) and Music and Audio Processing (12 papers). Salvatore Serrano is often cited by papers focused on Speech and Audio Processing (20 papers), Speech Recognition and Synthesis (14 papers) and Music and Audio Processing (12 papers). Salvatore Serrano collaborates with scholars based in Italy, Morocco and United States. Salvatore Serrano's co-authors include Francesco Beritelli, S. Casale, Alessandra Russo, Giuseppe Campobello, Giuseppe Ruggeri, Marco Scarpa, Sergio Palazzo, Laura Galluccio, Alessandro Leonardi and B. Azzerboni and has published in prestigious journals such as IEEE Transactions on Biomedical Engineering, Pattern Recognition Letters and Electronics Letters.

In The Last Decade

Salvatore Serrano

50 papers receiving 540 citations

Author Peers

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

Author						Papers	Cites
Salvatore Serrano	256	178	114	87	81	55	566
Jagmohan Chauhan	240 0.9×	150 0.8×	122 1.1×	77 0.9×	115 1.4×	35	620
Alessandro Montanari	85 0.3×	85 0.5×	128 1.1×	162 1.9×	157 1.9×	44	581
Sidra Abbas	82 0.3×	290 1.6×	230 2.0×	82 0.9×	97 1.2×	29	689
Mitul Kumar Ahirwal	203 0.8×	129 0.7×	42 0.4×	61 0.7×	96 1.2×	63	670
Jinsul Kim	64 0.3×	75 0.4×	138 1.2×	75 0.9×	140 1.7×	101	560
Yalan Ye	63 0.2×	163 0.9×	80 0.7×	30 0.3×	68 0.8×	72	555
Gökhan Altan	158 0.6×	133 0.7×	43 0.4×	37 0.4×	48 0.6×	31	612
Hanbin Zhang	166 0.6×	92 0.5×	32 0.3×	120 1.4×	82 1.0×	48	536
Chaoyi Pang	128 0.5×	265 1.5×	83 0.7×	26 0.3×	299 3.7×	61	641
Hyoung-Nam Kim	163 0.6×	111 0.6×	108 0.9×	305 3.5×	72 0.9×	99	692

Countries citing papers authored by Salvatore Serrano

Since Specialization

Citations

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

Fields of papers citing papers by Salvatore Serrano

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Salvatore Serrano

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