Frontiers Media SA provides LaTeX templates for many of its journals. Check this journal’s author guidelines, and we can convert your manuscript into its template.
LaTeX Template Conversion →01Impact factor
Impact factor of Frontiers in Radiology (2026)
The impact factor shown here is the 2-year mean citedness: citations received in a year by the papers Frontiers in Radiology published in the two previous years, divided by the number of those papers. That is the same formula as the Journal Impact Factor, applied to the open citation data of OpenAlex. The journal is not listed in JCR 2024, so it has no official Journal Impact Factor from Clarivate; the value above is how often its recent papers are cited.
Rank in its subject categories
- Q1Radiology, Nuclear Medicine & Medical Imagingrank 50 of 223 journals
Quartiles here rank journals of the same Web of Science category by 2-year citedness; they are not the official JCR quartiles.
Citations and papers per year
Open access (listed in DOAJ); article processing charge listed at about US$2,353.
02Indexing
Indexing of Frontiers in Radiology
- eISSN
- 2673-8740
- Publisher
- Frontiers Media SA
- Scopus source type
- Journal
- Web of Science categories
- Radiology, Nuclear Medicine & Medical Imaging
From the indexing lists used on ScholarsColab, updated 1 March 2026. Indexing can change: confirm on the Web of Science Master Journal List or the Scopus source list before submitting. Official Journal Impact Factors and JCR quartiles are published by Clarivate; the impact factor and quartile on this page are calculated from OpenAlex open data (see how the impact factor works).
03What it publishes
What Frontiers in Radiology publishes: real papers
Words that appear most often in the titles of the papers published here that we track. Choose one to see those papers:
04Published papers
Papers published in Frontiers in Radiology
Papers from the publication records ScholarsColab tracks, with their year and citations. Author names are not shown.
- A pathologically diagnosed multinodular and vacuolating neuronal tumor without typical multiple nodules: a case report20260 citations
- Robust radiomics: a review of guidelines for radiomics in medical imaging20260 citations
- Mind the gap: challenges and future directions for content-based image retrieval in clinical radiology20260 citations
- Beyond trauma: a case-based imaging review of spontaneous splenic rupture20260 citations
- Applications, image analysis, and interpretation of computer vision in medical imaging20260 citations
- Ultrasonography for suspected mild-to-moderate acute left colonic diverticulitis: a prospective head-to-head study with computed tomography20260 citations
- Automated segmentation and classification of lumbar transverse ultrasound views using a two-stage deep learning method20260 citations
- Self-adaptive forward-forward network for anomaly detection and medical image analysis20260 citations
- Diagnostic precision of a deep learning algorithm for the classification of non-contrast brain CT reports20250 citations
- The advancement and utility of multimodal imaging in the diagnosis of degenerative disc disease20250 citations
- Current state and promise of user-centered design to harness explainable AI in clinical decision-support systems for patients with CNS tumors20250 citations
- Radiomic signatures from postprocedural MRI thalamotomy lesion can predict long-term clinical outcome in patients with tremor after MRgFUS: a pilot study20250 citations
- Complications of tunneled central venous catheter placement: a narrative review of risks, prevention, and management strategies20250 citations
- Assessing the consistency of CT-based ventilation imaging under noise reduction processing with simulated quantum noise using a nonrigid alveoli phantom20250 citations
- Integrating clinical indications and patient demographics for multilabel abnormality classification and automated report generation in 3D chest CT scans20250 citations
- Synthetic CT generation from CBCT using deep learning for adaptive radiotherapy in prostate cancer20250 citations
- DreamOn: a data augmentation strategy to narrow the robustness gap between expert radiologists and deep learning classifiers20240 citations
- Multi-centre benchmarking of deep learning models for COVID-19 detection in chest x-rays20240 citations
- Advances in artificial intelligence and machine learning applications for the imaging of bone and soft tissue tumors20240 citations
- Artificial intelligence and machine learning applications for the imaging of bone and soft tissue tumors20240 citations
- Deep learning-based left ventricular segmentation demonstrates improved performance on respiratory motion-resolved whole-heart reconstructions20230 citations
- Advances in deep learning methods for medical image analysis20230 citations
- Accelerating voxelwise annotation of cross-sectional imaging through AI collaborative labeling with quality assurance and bias mitigation20230 citations
- Relevance maps: A weakly supervised segmentation method for 3D brain tumours in MRIs20220 citations
- Robust and accurate pulmonary nodule detection with self-supervised feature learning on domain adaptation20220 citations
- Diffusion kurtosis imaging of neonatal spinal cord in clinical routine20220 citations
- … analysis between unenhanced and enhanced CT radiomic features of lung cancers presenting as solid nodules and their efficacy for predicting hilar and mediastinal …20220 citations
- Review and prospect: artificial intelligence in advanced medical imaging20210 citations
- Grand challenges in AI in radiology20210 citations
05Reviewer comments
Reviewer comments and rejection reasons for Frontiers in Radiology
No reviewer or editor comments have been shared for this journal yet. Did you submit here? Help other researchers by sharing the comments you received, anonymously.
Share reviewer comments for this journal →Across the reviewer comments researchers have shared with us, the points raised most often are figures, tables and equations (21%), literature and references (12%) and novelty and contribution (10%). Before you submit to Frontiers in Radiology, a Manuscript Audit by a PhD reviewer in your area checks your paper against exactly these points.
Audit my paper before I submit →Not sure yet? Check if your paper is ready for this journal: free, no AI, under 5 secondsPreparing to submit here? Make sure reviewers don't stop at the issues they raise most often. A PhD reviewer in your area can audit your manuscript section by section, and we can convert it into the journal's LaTeX template.
06Similar journals
Journals similar to Frontiers in Radiology
Journals that publish the closest work to the papers above, from the indexing lists:
- Frontiers in MedicineSCIEScopusJCR 202424 similar papers
- Journal of Theoretical and Applied Information TechnologyScopus10 similar papers
- Frontiers in Medical TechnologyESCIScopusJCR 20243 similar papers
- Multimedia Tools and ApplicationsScopusJCR 20246 similar papers
- Journal of Electrical SystemsScopusJCR 20244 similar papers
- PLoS ONESCIEScopusJCR 202426 similar papers
07Journal Finder
Find the right journal for your paper
Is Frontiers in Radiology right for your paper? Compare journals
Paste your title, keywords or abstract. We match it against 156,435 published journal papers, by ScholarsColab mentors and other researchers, and show where the closest work appeared, with each journal’s indexing (SCIE, SSCI, AHCI, ESCI, Scopus, JCR 2024).
How it works: no AI or language model is used. Your words are matched against the titles of real published journal papers, by our mentors and by other researchers (shown without names); journals are ranked by how many closely matching papers they published. Indexing comes from the SCIE, SSCI, AHCI, ESCI, Scopus and JCR 2024 lists, matched by journal name; “not found in our indexing lists” does not prove a journal is unindexed. Always check a journal’s scope and current indexing before submitting.
08Questions
Frequently asked questions
What is the impact factor of Frontiers in Radiology?
Based on OpenAlex citation data (October 2026), the 2-year impact factor of Frontiers in Radiology is 2.84: papers it published in the two previous years were cited 2.84 times on average in a year. The journal is not listed in JCR 2024, so it has no official Clarivate Journal Impact Factor.
What is the h-index of Frontiers in Radiology?
The h-index of Frontiers in Radiology is 21 (OpenAlex, October 2026): 21 of its papers have each been cited at least 21 times. Its i10-index is 67.
What is the APC of Frontiers in Radiology?
OpenAlex lists an article processing charge (APC) of about US$2,353 for Frontiers in Radiology, an open access journal (data from October 2026). APCs change and can differ by article type, country or discounts, so confirm the current charge on the journal’s website before submitting.
Is Frontiers in Radiology a Q1 journal?
By 2-year citedness, Frontiers in Radiology ranks 50 of 223 journals in Radiology, Nuclear Medicine & Medical Imaging, which places it in Q1 of that Web of Science category. This ranking is calculated by ScholarsColab from OpenAlex data; the official JCR quartile can differ.
Is Frontiers in Radiology indexed in Scopus?
Yes. Frontiers in Radiology appears in the Scopus list, according to the indexing lists used on ScholarsColab (updated 1 March 2026). Always confirm the current status on the official list before submitting.
Is Frontiers in Radiology an SCIE journal?
Frontiers in Radiology is listed in ESCI of the Web of Science Core Collection, but not in SCIE, according to the indexing lists used on ScholarsColab (updated 1 March 2026). Always confirm the current status on the official list before submitting.
Is Frontiers in Radiology in Journal Citation Reports (JCR)?
Frontiers in Radiology is not listed in the JCR 2024 list, according to the indexing lists used on ScholarsColab (updated 1 March 2026). Always confirm the current status on the official list before submitting.
What topics does Frontiers in Radiology publish?
The papers published in Frontiers in Radiology that we track most often mention imaging, learning, deep, medical, clinical, tumor. Check the journal’s aims and scope for its full coverage.
How many papers published in Frontiers in Radiology does ScholarsColab track?
We track 29 papers published in Frontiers in Radiology between 2021 and 2026, cited 0 times in total, with a median of 0 citations per paper.
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