Riccardo Scandariato

3.2k citations
107 papers · 1.9k indexed · 2 hit papers · h-index 21
Topics
Software Engineering Research (45 papers)Advanced Malware Detection Techniques (41 papers)Information and Cyber Security (31 papers)
Partner nations
BelgiumGermanySweden

In The Last Decade

Riccardo Scandariato

104 papers receiving 1.8k citations

Hit Papers

A privacy threat analysis framework: supporting the elici...201020262015202020102014100200300

Peers

Riccardo Scandariato
Comparison fields: 5 of 65
  • Information Systems 1.5k
  • Signal Processing 733
  • Artificial Intelligence 580
  • Software 564
  • Computer Networks and Communications 482
Replace Nicola Zannone with:
Nicola Zannone Netherlands
Ruth Breu Austria
Xiaohu Yang China
Ahmad Firdaus Malaysia
Anna Rita Fasolino Italy
Nobukazu Yoshioka Japan
Dieter Gollmann Germany
Nicholas A. Kraft United States
Ashish Sureka India
Robert Lagerström Sweden
Riccardo Scandariato relative to Nicola Zannone Netherlands Nicola Zannone's profile →
Citations per field
00.5×5.8×
Nicola Zannone · 1×
Citations per year

Countries citing papers authored by Riccardo Scandariato

Since Specialization
Citations

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

Fields of papers citing papers by Riccardo Scandariato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Riccardo Scandariato

This figure shows the co-authorship network connecting the top 25 collaborators of Riccardo Scandariato. A scholar is included among the top collaborators of Riccardo Scandariato 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 Riccardo Scandariato. Riccardo Scandariato 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 3
4 1
5 0
6 8
7 1
8 2
9 6
10 6
11 2
12 4
13 4
14 2
15 59
16 5
17 36
18
LIND(D)UN privacy threat tree catalog
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19
Security patterns: 10 years later
5
20
Aspectual vs. component-based decomposition: a quantitative study
2

About Riccardo Scandariato

Riccardo Scandariato is a scholar working on Software, Signal Processing and Information Systems, having authored 107 papers that have together received 1.9k indexed citations. Recurring topics across this work include Software Engineering Research (45 papers), Advanced Malware Detection Techniques (41 papers) and Information and Cyber Security (31 papers). The work is most often cited by research in Software (564 citations), Signal Processing (733 citations) and Information Systems (1.5k citations). Riccardo Scandariato has collaborated with scholars based in Belgium, Germany and Sweden. Frequent co-authors include Wouter Joosen, James Walden, Kim Wuyts, Aram Hovsepyan, Koen Yskout, Bart Preneel, Mina Deng, Thomas Heyman, Bart De Win and Gül Çalıklı. Their work appears in journals such as IEEE Transactions on Software Engineering, Theriogenology and IEEE Transactions on Reliability.

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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