Devis Bianchini

1.3k citations
64 papers · 542 · h-index 13

Impact in

Papers in

Devis Bianchini

55 papers receiving 514 citations

Peers

Devis Bianchini
Comparison fields: 5 of 77
  • Information Systems 323
  • Management Information Systems 86
  • Computer Networks and Communications 169
  • Artificial Intelligence 224
  • Industrial and Manufacturing Engineering 44
Replace Horst Lichter with:
Horst Lichter Germany
Jan-Philipp Steghöfer Sweden
Kendall Scott United States
Lauren Wiener United States
Justus Bogner Germany
Zengyang Li China
Ingrid Nunes Brazil
Seán Baker United States
Michele Melchiori Italy
Michael Goedicke Germany
Devis Bianchini relative to Horst Lichter Germany Horst Lichter's profile →
Citations per field
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Horst Lichter · 1×
Citations per year

Countries citing papers authored by Devis Bianchini

Since Specialization
Citations

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

Fields of papers citing papers by Devis Bianchini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Devis Bianchini, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Devis Bianchini Line = papers co-authored together Devis Bianchini links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200565
2 201661
3 200848
4 201325
5 201922
6 200621
7 201618
8 200617
9 202114
10 201913
11 202113
12 201012
13
Capability Matching and Similarity Reasoning in Service Discovery.
200512
14 201612
15 202111
16 200411
17 201011
18 20099
19 20178
20 20237

About Devis Bianchini

Devis Bianchini is a scholar working on Information Systems, Artificial Intelligence, Computer Networks and Communications, Management Information Systems and Industrial and Manufacturing Engineering, having authored 64 papers that have together received 542 indexed citations. Recurring topics across this work include Service-Oriented Architecture and Web Services (39 papers), Semantic Web and Ontologies (30 papers), Business Process Modeling and Analysis (14 papers), Digital Transformation in Industry (8 papers), Peer-to-Peer Network Technologies (8 papers), Web Data Mining and Analysis (7 papers), Advanced Database Systems and Queries (6 papers) and Data Quality and Management (5 papers). The work is most often cited by research in Information Systems (323 citations), Management Information Systems (86 citations), Computer Networks and Communications (169 citations), Artificial Intelligence (224 citations) and Industrial and Manufacturing Engineering (44 citations). Devis Bianchini has collaborated with scholars based in Italy, United States and Austria. Frequent co-authors include Valeria De Antonellis, Michele Melchiori, Barbara Pernici, V. De Antonellis, Pierluigi Plebani, Nicola De Franceschi, Daniela Fogli, Cinzia Cappiello, Massimo Mecella and Francesco Leotta. Their work appears in journals such as Journal of Intelligent Information Systems, World Wide Web, Future Generation Computer Systems, Data Science and Engineering and Computer Standards & Interfaces.

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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