Marco Balduini

488 total citations
16 papers, 138 citations indexed

About

Marco Balduini is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems. According to data from OpenAlex, Marco Balduini has authored 16 papers receiving a total of 138 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Networks and Communications, 9 papers in Artificial Intelligence and 8 papers in Information Systems. Recurrent topics in Marco Balduini's work include Advanced Database Systems and Queries (8 papers), Semantic Web and Ontologies (6 papers) and Service-Oriented Architecture and Web Services (4 papers). Marco Balduini is often cited by papers focused on Advanced Database Systems and Queries (8 papers), Semantic Web and Ontologies (6 papers) and Service-Oriented Architecture and Web Services (4 papers). Marco Balduini collaborates with scholars based in Italy, Germany and Netherlands. Marco Balduini's co-authors include Emanuele Della Valle, Yi Huang, Daniele Dell’Aglio, Tong Lee, Volker Tresp, Irene Celino, Alessandro Bozzon, Geert‐Jan Houben, Marco Brambilla and Riccardo Tommasini and has published in prestigious journals such as IEEE Internet Computing, Journal of Web Semantics and IEEE Multimedia.

In The Last Decade

Marco Balduini

16 papers receiving 130 citations

Peers

Marco Balduini
Comparison fields: 5 of 48
  • Artificial Intelligence 47
  • Transportation 42
  • Computer Networks and Communications 38
  • Computer Vision and Pattern Recognition 31
  • Information Systems 25
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Citations per field, relative to Marco Balduini
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Citations per year, relative to Marco Balduini
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Countries citing papers authored by Marco Balduini

Since Specialization
Citations

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

Fields of papers citing papers by Marco Balduini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Balduini

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

All Works

16 of 16 papers shown
# Work Indexed citations
1 4
2 4
3 22
4 1
5
Towards a Benchmark for Expressive Stream Reasoning
2
6
Where are the RDF Streams?: Deploying RDF Streams on the Web of Data with TripleWave
4
7
Heaven Test Stand: Towards Comparative Research on RSP Engines
2
8 7
9
A case study of active, continuous and predictive social media analytics for smart city
9
10 18
11 6
12 5
13
A restful interface for RDF stream processors
5
14
On the need to include functional testing in RDF stream engine benchmarks
5
15
Exploiting stream reasoning to monitor multi-cloud applications
2
16 42

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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