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SCIESCOPUSQ2

Ultrasound Journal

SPRINGER, United Kingdom

Ultrasound Journal is an academic journal published by SPRINGER (United Kingdom). Identifiers: eISSN 2524-8987. Indexed in SCIE, SCOPUS. Metrics: JIF 2.9, CiteScore 5.9, SJR 0.784, SNIP 1.62. Subject areas: RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING. tlooto lists 71 papers from this journal.

CiteScore

5.90

Scopus citation metric

SJR

0.784

SCImago rank

SNIP

1.62

Source normalized impact

Percentage rank

-

JIF percentile rank

Journal profile

ISSN
-
eISSN
2524-8987
Abbreviation
ULTRASOUND J
Publisher
SPRINGER
Country
United Kingdom

Web of Science categories

No Web of Science category data available.

Scopus ASJC categories

2741 Radiology3614 Radiological and Ultrasound Technology

Papers in this journal

Recent papers

  1. Ultrasound-guided lymph node biopsies: feasible and safe use of pathology services in a resource-limited, high TB/HIV prevalence setting

    2026

  2. Prediction of in-vitro fertilization outcome by ultrasound strain analysis and machine learning: A multi-center study

    2026 · 1 citations

  3. Prenatal 2D/3D Ultrasound in Fetal Dural Sinus Malformations: Case Series and Prognostic Insights

    2026

  4. Seven Pillars for a Community-Led AI-POCUS Future - A WINFOCUS Manifesto.

    2026

  5. Predicting preoperative lymph node metastasis of hilar cholangiocarcinoma based on deep learning radiomics.

    2026

Most cited papers

  1. Clinical obstacles to machine-learning POCUS adoption and system-wide AI implementation (The COMPASS-AI survey)

    2025 · 13 citations

  2. Advances and innovations in ultrasound-based tumor management: current applications and emerging directions

    2025 · 7 citations

  3. Contrast-enhanced ultrasound for fetal and placental assessment: evidence, safety, and a roadmap for clinical translation

    2025 · 7 citations

  4. Chest ultrasound vs. Radiograph for pneumothorax diagnosis performed by emergency healthcare workers in the emergency department: a systematic review and meta-analysis

    2025 · 5 citations

  5. Effectiveness of traditional, artificial intelligence-assisted, and virtual reality training modalities for focused cardiac ultrasound skill acquisition: a randomised controlled study

    2025 · 5 citations