Gianmaria Silvello

260 total papers · 1.5k total citations
96 papers, 563 citations indexed

About

Gianmaria Silvello is a scholar working on Artificial Intelligence, Information Systems and Information Systems and Management. According to data from OpenAlex, Gianmaria Silvello has authored 96 papers receiving a total of 563 indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Artificial Intelligence, 38 papers in Information Systems and 19 papers in Information Systems and Management. Recurrent topics in Gianmaria Silvello's work include Semantic Web and Ontologies (34 papers), Data Quality and Management (19 papers) and Scientific Computing and Data Management (19 papers). Gianmaria Silvello is often cited by papers focused on Semantic Web and Ontologies (34 papers), Data Quality and Management (19 papers) and Scientific Computing and Data Management (19 papers). Gianmaria Silvello collaborates with scholars based in Italy, United States and Switzerland. Gianmaria Silvello's co-authors include Nicola Ferro, Stefano Marchesin, Maristella Agosti, Gian Antonio Susto, Giorgio Maria Di Nunzio, Alessandro Fabris, Peter Buneman, Susan B. Davidson, Giuseppe Santucci and Marco Angelini and has published in prestigious journals such as IEEE Access, BMC Bioinformatics and Medical Image Analysis.

In The Last Decade

Gianmaria Silvello

86 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
Gianmaria Silvello	311	253	139	112	75	96	563
Tobias Kuhn	315 1.0×	206 0.8×	141 1.0×	47 0.4×	104 1.4×	56	601
Leyla Jael Castro	206 0.7×	239 0.9×	213 1.5×	48 0.4×	222 3.0×	54	572
Holger Stenzhorn	459 1.5×	178 0.7×	74 0.5×	91 0.8×	333 4.4×	39	631
Paolo Manghi	208 0.7×	358 1.4×	285 2.1×	145 1.3×	45 0.6×	85	658
Marco Rospocher	483 1.6×	160 0.6×	24 0.2×	83 0.7×	71 0.9×	66	600
Rob Brennan	261 0.8×	191 0.8×	24 0.2×	109 1.0×	53 0.7×	107	668
Mohammed Odeh	229 0.7×	285 1.1×	39 0.3×	41 0.4×	46 0.6×	84	583
Jingjing Zhang	202 0.6×	304 1.2×	66 0.5×	108 1.0×	25 0.3×	33	626
Yuanxin Ouyang	284 0.9×	151 0.6×	51 0.4×	29 0.3×	54 0.7×	69	557
Hao‐Ren Ke	379 1.2×	250 1.0×	59 0.4×	32 0.3×	38 0.5×	51	689

Countries citing papers authored by Gianmaria Silvello

Since Specialization

Citations

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

Fields of papers citing papers by Gianmaria Silvello

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gianmaria Silvello

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