Mattia Salnitri

679 citations
18 papers · 304 indexed · h-index 8

Mattia Salnitri

17 papers receiving 297 citations

Peers

Mattia Salnitri
Comparison fields: 5 of 41
  • Software 53
  • Information Systems 220
  • Management Information Systems 61
  • Artificial Intelligence 151
  • Computer Networks and Communications 48
Replace Evellin Cardoso with:
Evellin Cardoso Brazil
Elda Paja Italy
Raman Ramsin Iran
Manuel F. Bertoa Spain
Jéssyka Vilela Brazil
David Ameller Spain
Smita Ghaisas India
Pan-Wei Ng United States
Anna Maria Vollmer Germany
Carme Quer Spain
Mattia Salnitri relative to Evellin Cardoso Brazil Evellin Cardoso's profile →
Citations per field
00.5×1.5×2.1×
Evellin Cardoso · 1×
Citations per year

Countries citing papers authored by Mattia Salnitri

Since Specialization
Citations

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

Fields of papers citing papers by Mattia Salnitri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

18 of 18 papers shown
#Work
1 20240
2 20223
3 20226
4 20203
5 20201
6 202020
7 20199
8 20175
9 2017117
10 20165
11 201618
12 201633
13
STS-Tool 3.0: Maintaining security in socio-technical systems
20151
14 201529
15 201524
16
Transforming Socio-Technical Security Requirements in SecBPMN Security Policies.
20143
17 201426
18 20141

About Mattia Salnitri

Mattia Salnitri is a scholar working on Information Systems, Artificial Intelligence and Sociology and Political Science, having authored 18 papers that have together received 304 indexed citations. Recurring topics across this work include Access Control and Trust (6 papers), Software Engineering Research (5 papers), Advanced Software Engineering Methodologies (5 papers), Information and Cyber Security (5 papers), Software Engineering Techniques and Practices (4 papers), Privacy, Security, and Data Protection (3 papers), Security and Verification in Computing (3 papers) and IoT and Edge/Fog Computing (2 papers). The work is most often cited by research in Software (53 citations), Information Systems (220 citations) and Management Information Systems (61 citations). Mattia Salnitri has collaborated with scholars based in Italy, United Kingdom and Spain. Frequent co-authors include Paolo Giorgini, Evellin Cardoso, Jennifer Horkoff, Tong Li, John Mylopoulos, Elda Paja, Fatma Başak Aydemir, Alejandro Maté, Luca Piras and Fabiano Dalpiaz. Their work appears in journals such as Future Generation Computer Systems, Lecture notes in computer science and IEEE Transactions on Cloud Computing.

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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