Paolo Arcaini

2.7k citations
147 papers · 1.3k indexed · h-index 19
Topics
Software Testing and Debugging Techniques (63 papers)Software Reliability and Analysis Research (41 papers)Formal Methods in Verification (35 papers)
Journals
SHILAP Revista de lepidopterologíaInformation SciencesIEEE Transactions on Software Engineering
Partner nations
JapanItalyChina

In The Last Decade

Paolo Arcaini

137 papers receiving 1.3k citations

Peers

Paolo Arcaini
Comparison fields: 5 of 67
  • Artificial Intelligence 621
  • Software 598
  • Information Systems 380
  • Computational Theory and Mathematics 271
  • Computer Networks and Communications 253
Replace Martin Leucker with:
Martin Leucker Germany
Aldeida Aleti Australia
Axel Legay France
Zhi Quan Zhou Australia
Kexin Pei United States
Werner Damm Germany
Taolue Chen United Kingdom
Dieter Hogrefe Germany
Jörgen Hansson Sweden
Mieke Massink Italy
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Citations per field
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Citations per year

Countries citing papers authored by Paolo Arcaini

Since Specialization
Citations

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

Fields of papers citing papers by Paolo Arcaini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paolo Arcaini

This figure shows the co-authorship network connecting the top 25 collaborators of Paolo Arcaini. A scholar is included among the top collaborators of Paolo Arcaini 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 Paolo Arcaini. Paolo Arcaini 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 9
3 0
4 2
5 1
6 3
7 3
8 1
9 1
10 3
11 7
12 3
13 9
14 5
15 4
16 1
17 20
18 2
19 69
20
Automatic Review of Abstract State Machines by Meta-Property Verification !
14

About Paolo Arcaini

Paolo Arcaini is a scholar working on Software, Computational Theory and Mathematics and Artificial Intelligence, having authored 147 papers that have together received 1.3k indexed citations. Recurring topics across this work include Software Testing and Debugging Techniques (63 papers), Software Reliability and Analysis Research (41 papers) and Formal Methods in Verification (35 papers). The work is most often cited by research in Software (598 citations), Artificial Intelligence (621 citations) and Computational Theory and Mathematics (271 citations). Paolo Arcaini has collaborated with scholars based in Japan, Italy and China. Frequent co-authors include Elvinia Riccobene, Patrizia Scandurra, Angelo Gargantini, Shaukat Ali, Fuyuki Ishikawa, Tao Yue, Xiao–Yi Zhang, P. Vavassori, Zhenya Zhang and Florian Hauer. Their work appears in journals such as SHILAP Revista de lepidopterología, Information Sciences and IEEE Transactions on Software Engineering.

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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