Sonia Bergamaschi

143 papers receiving 1.5k citations

Peers

Sonia Bergamaschi
Comparison fields: 5 of 103
  • Artificial Intelligence 1.1k
  • Computer Networks and Communications 703
  • Information Systems 691
  • Management Science and Operations Research 404
  • Signal Processing 316
Replace Frederick H. Lochovsky with:
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Sonia Bergamaschi relative to Frederick H. Lochovsky Hong Kong Frederick H. Lochovsky's profile →
Citations per field
00.5×4.2×
Frederick H. Lochovsky · 1×
Citations per year

Countries citing papers authored by Sonia Bergamaschi

Since Specialization
Citations

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

Fields of papers citing papers by Sonia Bergamaschi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sonia Bergamaschi

This figure shows the co-authorship network connecting the top 25 collaborators of Sonia Bergamaschi. A scholar is included among the top collaborators of Sonia Bergamaschi 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 Sonia Bergamaschi. Sonia Bergamaschi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 2
3 2
4 3
5
Entity resolution on camera records without machine learning
1
6
Entity Resolution and Data Fusion: An Integrated Approach.
3
7 25
8 25
9
Discovering the topics of a data source: A statistical approach?
1
10
A Semantic Method for Searching Knowledge in a Software Development Context.
2
11
RELEVANTNews: a Semantic News Feed Aggregator.
5
12
Proceedings of the 2005/2006 international conference on Databases, information systems, and peer-to-peer computing
0
13
The MOMIS methodology for integrating heterogeneous data sources.
2
14
Building an integrated Ontology within the SEWASIE system
3
15 1
16
Information Integration: The MOMIS Project Demonstration
57
17 3
18
Terminological Logics for Schema Design and Query Processing in OODBs.
2
19
Using subsumption for semantic query optimization
1
20
Tether motion after failure
4

About Sonia Bergamaschi

Sonia Bergamaschi is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems, having authored 161 papers that have together received 1.7k indexed citations. Recurring topics across this work include Semantic Web and Ontologies (87 papers), Advanced Database Systems and Queries (62 papers) and Data Quality and Management (31 papers). The work is most often cited by research in Artificial Intelligence (1.1k citations), Management Science and Operations Research (404 citations) and Information Systems (691 citations). Sonia Bergamaschi has collaborated with scholars based in Italy, United States and Spain. Frequent co-authors include Maurizio Vincini, Domenico Beneventano, Silvana Castano, Francesco Guerra, Giovanni Simonini, Claudio Sartori, Laura Po, Yannis Velegrakis, F. Angrilli and Vittore Cossalter. Their work appears in journals such as Sensors, IEEE Transactions on Knowledge and Data Engineering and Future Generation Computer Systems.

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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