Examples
Worked examples
- Is an instance
Citing IEEE TIFS in tenure dossiers using field-normalized citation benchmarks
- Is an instance
Evaluating information forensics publications under DORA guidelines
Editorial commentary
Quick answer: IEEE Transactions on Information Forensics and Security (TIFS; print ISSN 1556-6013, online ISSN 1556-6021) is a monthly peer-reviewed journal published by the Institute of Electrical and Electronics Engineers (IEEE) under the IEEE Signal Processing Society. According to verified open bibliometric records from OpenAlex, the journal holds a 2-year mean citedness of 9.32 across recent citation windows, with 7,005 published works, 281,154 total citations, and an h-index of 211. Evaluation of published papers must adhere to responsible research assessment frameworks that avoid using journal-level metrics as proxies for article quality.
Journal Overview and Editorial Scope
IEEE Transactions on Information Forensics and Security is an international venue dedicated to the science and applications of information security, forensics, biometrics, and trustworthy computing systems. Within the broader scope of what is cybersecurity, TIFS publishes foundational theoretical contributions, threat modeling algorithms, and empirical security evaluations.
Key technical areas covered by the journal include:
- Digital Media Forensics: Image, audio, and video tampering detection, deepfake identification, watermarking, and steganography.
- Biometrics and Identity Authentication: Facial, fingerprint, iris, and behavioral recognition systems, biometric template protection, and presentation attack detection.
- Cryptographic Architectures and Protocols: Hardware security primitives, physical unclonable functions (PUFs), side-channel attack countermeasures, and applied cryptographic protocols.
- Network and Systems Security: Intrusion detection systems, malware analysis, secure distributed computation, and security compliance architectures relevant to institutional computing standards like CMMC compliance for research institutions.
Bibliometric Profile and Citation Metrics
Bibliometric indicators provide macro-level visibility into a journal’s citation velocity and publication volume. The metrics summarized below reflect verified records retrieved from the OpenAlex open scholarly graph and Crossref:
| Bibliometric Metric | Verified Value | Source Repository |
|---|---|---|
| Print ISSN | 1556-6013 | Crossref / OpenAlex |
| Online ISSN | 1556-6021 | Crossref / OpenAlex |
| Total Registered DOIs | 6,863 | Crossref |
| Total Indexed Works | 7,005 | OpenAlex |
| Total Citations Received | 281,154 | OpenAlex |
| 2-Year Mean Citedness | 9.32 | OpenAlex |
| Journal h-index | 211 | OpenAlex |
| Journal i10-index | 3,954 | OpenAlex |
Calculation of Journal Citation Metrics
Understanding how journal impact figures are derived prevents misinterpretation during departmental reviews and hiring committees. The classic Journal Impact Factor (JIF) proprietary metric produced by Clarivate Analytics via Web of Science, as well as the open 2-year mean citedness calculated by OpenAlex, follow a standardized formula:
$$text{Metric}_{Y} = frac{text{Citations in Year } Y text{ to items published in years } (Y-1) text{ and } (Y-2)}{text{Number of citable items published in years } (Y-1) text{ and } (Y-2)}$$
As detailed in the comprehensive analysis of how the journal impact factor is calculated, citable items consist primarily of original research articles and review papers, whereas editorial material, errata, and society letters are excluded from the denominator. While Clarivate JCR figures require institutional subscription licensing, open metrics from OpenAlex offer reproducible, transparent equivalents (similar to metric benchmarks recorded for titles like scientific reports impact factor).
Responsible Research Assessment and Evaluation Guidance
Institutional evaluators, promotion committees, and grant funding agencies must exercise caution when utilizing journal-level metrics to assess researchers. Research evaluation bodies emphasize several principles:
- Adherence to DORA: The San Francisco Declaration on Research Assessment (DORA) explicitly recommends that funding agencies and universities eliminate the use of journal-based metrics—such as Journal Impact Factors—in funding, appointment, and promotion considerations.
- Citation Skewness: Across all scientific disciplines, citation distributions are highly skewed; a small fraction of highly cited landmark papers generates the majority of a journal’s aggregate citations. A paper published in a high-impact venue is not guaranteed to achieve high individual impact.
- Field Normalization: Raw citation counts and journal citedness vary widely between computational sub-disciplines. Hardware security and applied cryptography publications exhibit different citation tempos than general signal processing or software engineering. Field-normalized metrics or qualitative peer review should always take precedence over venue metrics.
Sources
- OpenAlex Bibliometric Source Record: https://api.openalex.org/sources?search=IEEE+Transactions+on+Information+Forensics+and+Security — verified 2026-11-08
- Crossref Journal Registry: https://api.crossref.org/journals/1556-6013 — verified 2026-11-08
- IEEE Signal Processing Society Periodicals: https://signalprocessingsociety.org/publications-resources/ieee-transactions-information-forensics-and-security — verified 2026-11-08
- IEEE Xplore Digital Library: https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=10206 — verified 2026-11-08
- San Francisco Declaration on Research Assessment (DORA): https://sfdora.org/read/ — verified 2026-11-08
Machine-readable encodings
Use in your systems
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