Impact Factor
4.02
Journal Citation Impact
Estimated influence, citation density, publishing volume, and citation integrity from the analytics table.
Citation rate
3.72
5,131 total citations
h5-index
61
h5 depth signal
Cited share
77.1%
1,110 of 1,439
Total citations
5,131
Citation footprint
Metric signal
3.39
External metric anchor
Self-citation
12.1%
622 self-citations
Citations Trend
Monthly Publications Cadence
Citing Geographic Demographics
United States
5,057
China
1,626
Canada
845
Germany
647
Netherlands
420
Citing Fields of Research
Prostate Cancer
4,925
Biomedical Physics
3,559
Medical Physics
1,803
Brain Imaging
1,296
Oncology
789
Publishing Activity & Reach
Volume, recency, access pattern, and citing-community signals from the journal analytics record.
All-time article footprint
44,332
Articles tracked across the journal lifetime
Indexed publication set
1,439
1,110 cited publications
Last 12 months
641
53.4 publications/month
Open access share
38.8%
249 OA publications in the last year
Leading citing country
United States
5,057 citing publications
Leading citing field
Prostate Cancer
4,925 citing publications
Latest tracked publication
15 October 2026
10 recent records available
Coverage & Indexing History
v1n1, 1974-
v1n1, 1974-
Active Coverage
Research Focus & Classification
Indexed Subjects
Prostate Cancer
Biomedical Physics
Brain Imaging
Medical Physics
AI & Machine Learning
Issuing & Sponsoring Bodies
Contributor
American Association of Physicists in Medicine
Contributor
American Institute of Physics
Broad Categories
Biophysics
Physics
Radiology
Radiotherapy
Prostate Cancer
Biomedical Physics
Brain Imaging
MeSH Descriptors
Biophysics
Latest Publications
Recent article records with DOI-first linking and condensed abstracts.
01
DOI 10.1002/mp.70704
Open DOI
End‐to‐end automated radiotherapy planning using transfer learning to overcome data scarcity
Purpose: To develop and benchmark 3D dose prediction algorithms for volumetric modulated arc therapy for head‐and‐neck (HN) and pancreatic cancer treatments, and to demonstrate the clinical feasibility of converting the predicted doses i...
02
DOI 10.1002/mp.70703
Open DOI
Prediction of radiation‐induced hypothyroidism after proton‐based supraclavicular nodal irradiation in breast cancer
Background: The thyroid gland lies adjacent to the supraclavicular target and is highly radiosensitive, placing patients at risk for radiation‐induced hypothyroidism (RIHT). While RIHT incidence and predictive models have been well descr...
03
DOI 10.1002/mp.70711
Open DOI
Convolutional neural network metal artifact reduction in ultra‐high resolution photon counting detector CT of middle‐ and inner‐ear implants
Background: Metallic inner‐ and middle‐ear implants with submillimeter structures requiring ultra‐high resolution (UHR) imaging invariably result in metal artifacts at CT, which can obscure adjacent microstructures and subtle pathologic ...
04
DOI 10.1002/mp.70702
Open DOI
Low‐spatial‐frequency perception enhancing dynamic convolutional network for system matrix recovery in magnetic particle imaging
Background: Magnetic particle imaging (MPI) is an emerging molecular imaging modality known for its high sensitivity and long‐term tracking. System matrix (SM)‐based image reconstruction is one of the most important reconstruction method...
05
DOI 10.1002/mp.70692
Open DOI
Quantitative and qualitative magnetic resonance imaging‐based analysis to predict postoperative disease progression in hepatocellular carcinoma
Background: Hepatocellular carcinoma (HCC) is one of the most common abdominal malignancies and the third leading cause of cancer‐related death globally. Predicting the postoperative prognosis of HCC remains an important area of clinical...
06
DOI 10.1002/mp.70670
Open DOI
Simultaneous T1, T2, R2*, PDFF, and triglyceride quantification in the head and neck using magnetic resonance fingerprinting on a 1.5T MR‐Linac
Background: The extraction of quantitative biomarkers on the MR‐Linac, which have been shown to be promising in the head and neck, remains a significant challenge due to the strict time constraints. Purpose: The purpose of this study was...
07
DOI 10.1002/mp.70693
Open DOI
A two‐stage framework for fast proton spot map generation in pencil beam scanning prostate SBRT planning
Background: In pencil beam scanning (PBS) proton therapy, treatment plans are encoded as proton spot maps (PSMs). Although deep‐learning methods can rapidly predict three‐dimensional (3D) dose distributions from patient anatomy and plann...
08
DOI 10.1002/mp.70699
Open DOI
2026 Joint AAPM COMP Meeting Abstracts
09
DOI 10.1002/mp.70700
Open DOI
2026 Joint AAPM COMP Meeting Digital Poster Viewing Abstracts
10
DOI 10.1002/mp.70698
Open DOI
2026 Joint AAPM COMP Meeting & Exhibition July 19–22 Vancouver, BC
Bibliographical & Catalog Notes
Also issued online.
Indexes: Vol. 1 (1974)-v. 10 (1983). 1 v.
Vol. 22, no. 3 (MAR 1995)19950518 Notice not published Printed on acid-free paper