Impact Factor
3.54
Journal Citation Impact
Estimated influence, citation density, publishing volume, and citation integrity from the analytics table.
Citation rate
4.30
264 total citations
h5-index
26
h5 depth signal
Cited share
80.0%
56 of 70
Total citations
264
Citation footprint
Metric signal
3.97
External metric anchor
Self-citation
9.5%
25 self-citations
Citations Trend
Monthly Publications Cadence
Citing Geographic Demographics
United States
172
Canada
54
Germany
41
China
38
United Kingdom
33
Citing Fields of Research
Patient Care
174
AI & Machine Learning
94
Supply Chain & Logistics
89
Economics
66
Healthcare Policy
53
Publishing Activity & Reach
Volume, recency, access pattern, and citing-community signals from the journal analytics record.
All-time article footprint
1,056
Articles tracked across the journal lifetime
Indexed publication set
70
56 cited publications
Last 12 months
65
5.4 publications/month
Open access share
56.9%
37 OA publications in the last year
Leading citing country
United States
172 citing publications
Leading citing field
Patient Care
174 citing publications
Latest tracked publication
10 October 2026
10 recent records available
Coverage & Indexing History
v1n1, Sept. 1998-
v1n1, Sept. 1998-
Active Coverage
Research Focus & Classification
Indexed Subjects
AI & Machine Learning
Patient Care
Supply Chain & Logistics
Healthcare Policy
Economics
Broad Categories
Health Services
Patient Care
MeSH Descriptors
Health Services Administration
Models, Organizational
Quality Assurance, Health Care
Latest Publications
Recent article records with DOI-first linking and condensed abstracts.
01
DOI 10.1007/s10729-026-09794-2
Open DOI
Prototyping and evaluation of a clinical decision support system in long-term care in German nursing homes
Demographic change in Germany is increasing the demand for professional long-term care. Given rising requirements and simultaneous staff shortages, the need for digital systems is growing to effectively support nursing staff and mitigate...
02
DOI 10.1007/s10729-026-09792-4
Open DOI
Modeling framework and reference model for data-driven simulation of patient flows in emergency departments
03
DOI 10.1007/s10729-026-09795-1
Open DOI
Optimization of the organization of a hemodialysis center
04
DOI 10.1007/s10729-026-09790-6
Open DOI
A distribution-aware optimization model for improving operating room utilization and out-patient flow
05
DOI 10.1007/s10729-026-09793-3
Open DOI
Network data envelopment analysis in healthcare: A systematic literature review
Healthcare performance assessment using nonparametric benchmarking approaches has risen in the literature in recent years. Several studies have been published employing data envelopment analysis (DEA) to evaluate healthcare performance. ...
06
DOI 10.1007/s10729-026-09788-0
Open DOI
Stochastic appointment scheduling with patient-and-time-dependent probability distributions
07
DOI 10.1007/s10729-026-09787-1
Open DOI
Counterfactual prescriptions via hierarchical ML for missed chemotherapy appointment prevention
Missed medical appointments, including cancellations and no-shows, disrupt clinical workflows, reduce resource efficiency, and can compromise patient care. This study develops a machine learning (ML) framework to jointly predict cancella...
08
DOI 10.1007/s10729-026-09754-w
Open DOI
Paving the way for more accessible cancer care in low-income countries with optimization
Cancers are a growing cause of morbidity and mortality in low-income countries. Geographic access plays a key role in both timely diagnosis and successful treatment. In areas lacking well-developed road networks, seasonal weather events ...
09
DOI 10.1007/s10729-026-09791-5
Open DOI
Operating-Room scheduling under uncertainty: balancing elective and emergency surgeries
Balancing elective and emergency surgeries in operating room (OR) scheduling is challenging due to uncertainty in surgery durations and emergency arrivals. Traditional approaches, such as dedicated OR allocation and the Break-in-Moment (...
10
DOI 10.1007/s10729-026-09786-2
Open DOI
Electric ambulances: will the need for charging affect response times?
Ambulance providers currently rely on diesel vehicles for patient transport in their daily operations, but the first providers will likely transition to electric vehicles in the coming years. Prior to this transition, they would want to ...
Bibliographical & Catalog Notes
Only two issues published in 1998.
Also issued online.