Computer Vision and Image Understanding
ISSN 1077-3142 · Elsevier BV · United States · active 1987–2026
Metrics
- Best Scimago quartile (2025)
- Q1
- Cites per paper (2y)
- 3.9
- SJR
- 0.82
- h-index
- 174
“Cites per paper” is a two-year cited-by rate computed from OpenAlex. It is not a Clarivate Journal Impact Factor — we neither compute nor license that metric (how the two differ). Citation rates differ enormously between fields, so compare within a discipline. What the other figures mean: journal quartile, SJR, h-index and article processing charge.
Data as of 18 October 2026 (venue index build).
Scimago Journal Rank 2025
In the Scimago Journal Rank 2025 edition, Computer Vision and Image Understanding is Q1 in 2 of its 3 subject categories and Q2 in the other 1. Its best category quartile is Q1.
| Subject category | Quartile | Rank in category |
|---|---|---|
| Computer Vision and Pattern Recognition | Q1 | #30 of 130 |
| Signal Processing | Q1 | #31 of 133 |
| Software | Q2 | #108 of 392 |
- Cites per document (2 years, Scopus)
- 4.43
- Documents indexed in 2025 (Scopus)
- 239
The quartile is the one Scimago prints for each category. Rank is the journal's position by SJR among the journals Scimago lists in that category (#1 is the highest); “—” means we hold no rank consistent with that quartile. The document count is what Scopus indexed that year, which can be lower than a journal's full output. Source: SCImago Journal Rank 2025 edition, from Scopus data (scimagojr.com, CC BY-NC).
Computer Vision and Image Understanding is Q1 in 2 of its 3 Scimago subject categories (2025 edition; best category Computer Vision and Pattern Recognition: Q1, #30 of 130), with SJR 0.82 (Scimago) and an h-index of 174 (OpenAlex). Listed in Scopus, Web of Science, PubMed.
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Indexing & access
- Indexed in
- ScopusWeb of SciencePubMed
- Access status:
- hybrid. Where this comes from publisher-level signals rather than works-level data it is a heuristic — confirm on the journal’s own site, especially regarding any article processing charge.
Scope
Frequently asked
Is Computer Vision and Image Understanding a predatory journal?
Our screening does not flag Computer Vision and Image Understanding. That is not a guarantee of quality — it means the venue is not on Beall's archive (frozen since 2017) and does not match our name-pattern heuristic. It is listed in Scopus, Web of Science, PubMed, which is a positive signal.
Is Computer Vision and Image Understanding indexed in Scopus or Web of Science?
Per our venue index, Computer Vision and Image Understanding appears in: Scopus, Web of Science, PubMed. Index membership changes over time — confirm on the index's own site before relying on it.
What is the impact factor of Computer Vision and Image Understanding?
Papers in Computer Vision and Image Understanding are cited about 3.9 times each within two years of publication, and Scimago places it in Q1, with an h-index of 174. Those are the open equivalents: the Clarivate Journal Impact Factor is a proprietary metric we neither compute nor license, so we show the two-year citation rate and Scimago quartile instead — they answer the same question of how heavily the journal is cited. A citation rate is a property of a field as much as of a journal.
What Scimago quartile is Computer Vision and Image Understanding (Q1, Q2, Q3, or Q4)?
In the Scimago Journal Rank 2025 edition, Computer Vision and Image Understanding is Q1 in 2 of its 3 subject categories and Q2 in the other 1. By category: Computer Vision and Pattern Recognition: Q1, #30 of 130; Signal Processing: Q1, #31 of 133; Software: Q2, #108 of 392. Its best category quartile is Q1. Quartiles split the journals in a subject category into four equal groups by SJR, so Q1 is the most-cited quarter and Q4 the least; Computer Vision and Image Understanding is cited about 3.9 times per paper over two years, with an h-index of 174.
What is the Web of Science (JCR) quartile of Computer Vision and Image Understanding?
The Web of Science quartile comes from Clarivate's Journal Citation Reports (JCR), a proprietary product we neither license nor compute — so we cannot state a JCR quartile for Computer Vision and Image Understanding. The open equivalent is its best Scimago quartile, Q1 in Computer Vision and Pattern Recognition and 1 other category, derived from Scopus citation data. Because JCR ranks against Web of Science and Scimago against Scopus, the two can differ, so check Clarivate's site directly if you need the JCR quartile specifically.
Is Computer Vision and Image Understanding open access?
Our index records its access status as "hybrid". Where this is derived from publisher-level signals rather than works-level data it is a heuristic, so confirm on the journal's own site — particularly if an article processing charge matters to you.
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Compare it with its peers: Ranked Computer Vision and Pattern Recognition journals — ranked by Scimago quartile and cites per paper, predatory venues excluded.