Roberta Siciliano

137 total papers · 1.1k total citations
49 papers, 516 citations indexed

About

Roberta Siciliano is a scholar working on Artificial Intelligence, Signal Processing and Information Systems. According to data from OpenAlex, Roberta Siciliano has authored 49 papers receiving a total of 516 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 12 papers in Signal Processing and 8 papers in Information Systems. Recurrent topics in Roberta Siciliano's work include Data Management and Algorithms (10 papers), Data Mining Algorithms and Applications (8 papers) and Bayesian Modeling and Causal Inference (5 papers). Roberta Siciliano is often cited by papers focused on Data Management and Algorithms (10 papers), Data Mining Algorithms and Applications (8 papers) and Bayesian Modeling and Causal Inference (5 papers). Roberta Siciliano collaborates with scholars based in Italy, Netherlands and United States. Roberta Siciliano's co-authors include Antonio D’Ambrosio, Francesco Molà, Massimo Aria, Claudio Conversano, Gianluca Frasso, Ab Mooijaart, P.G.M. van der Heijden, Alberto Fulvi, Massimo Libra and Annamaria Colao and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cancer Research and Journal of Bone and Joint Surgery.

In The Last Decade

Roberta Siciliano

45 papers receiving 486 citations

Author Peers

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

Author						Papers	Cites
Roberta Siciliano	175	113	74	59	58	49	516
Wolfgang Gaul	187 1.1×	70 0.6×	68 0.9×	85 1.4×	65 1.1×	44	610
Sheng-Qun Chen	112 0.6×	289 2.6×	36 0.5×	23 0.4×	11 0.2×	52	569
Fabrizio Maturo	74 0.4×	53 0.5×	93 1.3×	13 0.2×	28 0.5×	53	465
Mohammed Nasser	182 1.0×	48 0.4×	30 0.4×	40 0.7×	88 1.5×	33	460
Afif Masmoudi	218 1.2×	45 0.4×	68 0.9×	25 0.4×	31 0.5×	88	532
Vinod Sharma	245 1.4×	76 0.7×	24 0.3×	45 0.8×	9 0.2×	53	618
Maqsood Mahmud	221 1.3×	134 1.2×	54 0.7×	72 1.2×	68 1.2×	48	572
Peter Morgan	142 0.8×	179 1.6×	37 0.5×	48 0.8×	9 0.2×	28	599
P. Richard Hahn	194 1.1×	51 0.5×	92 1.2×	8 0.1×	12 0.2×	24	618
Marina Velikova	271 1.5×	44 0.4×	11 0.1×	40 0.7×	25 0.4×	28	462

Countries citing papers authored by Roberta Siciliano

Since Specialization

Citations

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

Fields of papers citing papers by Roberta Siciliano

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roberta Siciliano

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