Transactions on Data Privacy

SJR Rank #20,379H-index: 31SJR: 0.227Best quartile: Q4Open Access (Diamond, no APC)
Journal website: aims, scope and author guidelines
Publisher

University of Skovde

Country

Spain

Type

journal

SJR by Edition

2022202500.20.40.60.8

Subject Categories

  • SoftwareQ4
  • Statistics and ProbabilityQ4

Areas: Computer Science · Mathematics

Most published research topics

Privacy-Preserving Technologies in DataCryptography and Data SecurityPrivacy, Security, and Data ProtectionInternet Traffic Analysis and Secure E-votingAccess Control and TrustData Quality and ManagementHuman Mobility and Location-Based AnalysisImbalanced Data Classification TechniquesStatistical Methods and InferenceAdvanced Steganography and Watermarking Techniques

Source: OpenAlex

Publication Statistics

2025 Docs3-Year DocsCitable Docs06121824

Documents per Year

2022202502468

Detailed Information

ISSN

1888-5063, 2013-1631

SJR Best Quartile

Q4

Region

Western Europe

Citations per Document (2 years)

1.27

References per Document

39.71

Coverage

2009-2026

Scope

The aim of the Transactions on Data Privacy (TDP) is to provide an international forum for researchers on all topics related to data privacy technologies. The journal will publish original and high quality papers. TDP welcomes archival research papers, comprehensive reviews, authoritative tutorials, short notes and comprehensive book reviews. All papers will be peer-reviewed. The journal will accept submissions from multiple disciplines related to the various aspects of data privacy (e.g. data mining, statistics, cryptography, database technology, data communication, etc.). Regarding the application papers, contributions to solving privacy problems in the main application areas (e.g. official statistics, electronic commerce and Internet, healthcare, telecommunications, etc.) are welcome. Papers can be theoretical or applied. Important note: Only papers focused on data privacy will be accepted (e.g., we will not accept papers only dealing with cryptography or data mining tools).

Metrics from SCImago Journal Rank 2025. View on SCImago