Fabiano Pecorelli

976 citations
43 papers · 589 indexed · h-index 14
Topics
Software Engineering Research (32 papers)Software Reliability and Analysis Research (21 papers)Advanced Malware Detection Techniques (12 papers)
Partner nations
ItalyFinlandNetherlands

In The Last Decade

Fabiano Pecorelli

43 papers receiving 582 citations

Peers

Fabiano Pecorelli
Comparison fields: 5 of 55
  • Information Systems 455
  • Software 318
  • Computer Networks and Communications 136
  • Signal Processing 132
  • Artificial Intelligence 126
Replace Ahmed Tamrawi with:
Ahmed Tamrawi United States
Minxue Pan China
Aditya Kanade India
Wontae Choi South Korea
Nicolas Viennot United States
Rohan Padhye United States
Roberta Coelho Brazil
Sæmundur Ó. Haraldsson United Kingdom
Mattia Fazzini United States
Xuan-Bach D. Le Singapore
Fabiano Pecorelli relative to Ahmed Tamrawi United States Ahmed Tamrawi's profile →
Citations per field
00.5×10×14.6×
Ahmed Tamrawi · 1×
Citations per year

Countries citing papers authored by Fabiano Pecorelli

Since Specialization
Citations

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

Fields of papers citing papers by Fabiano Pecorelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabiano Pecorelli

This figure shows the co-authorship network connecting the top 25 collaborators of Fabiano Pecorelli. A scholar is included among the top collaborators of Fabiano Pecorelli 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 Fabiano Pecorelli. Fabiano Pecorelli 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 2
2 1
3 9
4 1
5 2
6 1
7 4
8 1
9 12
10 6
11 3
12 1
13 18
14 7
15 14
16 17
17 27
18 68
19 44
20 14

About Fabiano Pecorelli

Fabiano Pecorelli is a scholar working on Software, Information Systems and Computer Science Applications, having authored 43 papers that have together received 589 indexed citations. Recurring topics across this work include Software Engineering Research (32 papers), Software Reliability and Analysis Research (21 papers) and Advanced Malware Detection Techniques (12 papers). The work is most often cited by research in Software (318 citations), Information Systems (455 citations) and Signal Processing (132 citations). Fabiano Pecorelli has collaborated with scholars based in Italy, Finland and Netherlands. Frequent co-authors include Andrea De Lucia, Fabio Palomba, Dario Di Nucci, Coen De Roover, Valentina Lenarduzzi, Foutse Khomh, Davide Taibi, Gemma Catolino, Damian A. Tamburri and Xiaozhou Li. Their work appears in journals such as IEEE Access, IEEE Software and Journal of Systems and Software.

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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