Silvio Peroni

3.1k citations
161 papers · 1.9k · h-index 22

Impact in

Papers in

    • Semantic Web and Ontologies 108
    • Natural Language Processing Techniques 27
    • Advanced Text Analysis Techniques 16
    • Research Data Management Practices 24
    • Service-Oriented Architecture and Web Services 16

Silvio Peroni

152 papers receiving 1.7k citations

Peers

Silvio Peroni
Comparison fields: 5 of 101
  • Information Systems and Management 306
  • Artificial Intelligence 1.3k
  • Information Systems 669
  • Health Informatics 34
  • Statistics, Probability and Uncertainty 161
Replace Fabio Vitali with:
Fabio Vitali Italy
Jane Greenberg United States
Nicola Ferro Italy
Gianmaria Silvello Italy
Joeran Beel Germany
Valentina Presutti Italy
Ray R. Larson United States
Christoph Lange Germany
Stefano Mizzaro Italy
Anisa Rula Italy
Silvio Peroni relative to Fabio Vitali Italy Fabio Vitali's profile →
Citations per field
00.5×4.9×
Fabio Vitali · 1×
Citations per year

Countries citing papers authored by Silvio Peroni

Since Specialization
Citations

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

Fields of papers citing papers by Silvio Peroni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Silvio Peroni, 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 Silvio Peroni Line = papers co-authored together Silvio Peroni links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 161 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012146
2 200875
3 201470
4 201765
5 201159
6 201658
7 201855
8 201650
9 201949
10 201245
11 201543
12 202236
13 201535
14 201633
15 201233
16 201031
17 201431
18 201428
19
Towards the Automatic Identification of the Nature of Citations
201327
20 201726

About Silvio Peroni

Silvio Peroni is a scholar working on Artificial Intelligence, Information Systems, Molecular Biology, Information Systems and Management and Computer Networks and Communications, having authored 161 papers that have together received 1.9k indexed citations. Recurring topics across this work include Semantic Web and Ontologies (108 papers), Biomedical Text Mining and Ontologies (41 papers), Natural Language Processing Techniques (27 papers), Scientific Computing and Data Management (26 papers), Research Data Management Practices (24 papers), Advanced Database Systems and Queries (17 papers), Service-Oriented Architecture and Web Services (16 papers) and Advanced Text Analysis Techniques (16 papers). The work is most often cited by research in Information Systems and Management (306 citations), Artificial Intelligence (1.3k citations), Information Systems (669 citations), Health Informatics (34 citations) and Statistics, Probability and Uncertainty (161 citations). Silvio Peroni has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include David M. Shotton, Fabio Vitali, Angelo Di Iorio, Andrea Giovanni Nuzzolese, Aldo Gangemi, Enrico Motta, Mathieu d’Aquin, Monica Palmirani, Francesco Poggi and Valentina Presutti. Their work appears in journals such as Scientometrics, Semantic Web, International Journal on Digital Libraries, Lecture notes in computer science and Quantitative Science Studies.

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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