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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Forecasting the Demand for Emergency Medical Services
Krisjanis Steins, Niki Matinrad, Tobias Granberg
Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences (2019)
Open Access | Times Cited: 25

Showing 25 citing articles:

Predicting Emergency Medical Service Demand With Bipartite Graph Convolutional Networks
Ruidong Jin, Tianqi Xia, Xin Liu, et al.
IEEE Access (2021) Vol. 9, pp. 9903-9915
Open Access | Times Cited: 23
Data-driven forecasting for operational planning of emergency medical services
Paulo Abreu, Daniel Santos, Ana Paula Barbosa‐Póvoa
Socio-Economic Planning Sciences (2022) Vol. 86, pp. 101492-101492
Open Access | Times Cited: 15
Towards Accurate Predictions and Causal ‘What-if’ Analyses for Planning and Policy-making: A Case Study in Emergency Medical Services Demand
Kasun Bandara, Christoph Bergmeir, Sam Campbell, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2020), pp. 1-10
Open Access | Times Cited: 14
Use of a metalearner to predict emergency medical services demand in an urban setting
Sriram Ramgopal, Ted Westling, Nalyn Siripong, et al.
Computer Methods and Programs in Biomedicine (2021) Vol. 207, pp. 106201-106201
Closed Access | Times Cited: 10
Short-term forecasting of emergency medical services demand exploring machine learning
Nika Shahidian, Paulo Abreu, Daniel Santos, et al.
Computers & Industrial Engineering (2024), pp. 110765-110765
Closed Access | Times Cited: 1
Towards a Unified Understanding of Data-Driven Support for Emergency Medical Service Logistics
Melanie Reuter-Oppermann, Clemens Wolff
Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences (2020)
Open Access | Times Cited: 7
Decision Support for EMS Policy Making Using Data Analytics and Real-Time Alerts
Melanie Reuter-Oppermann, Dave Richards
(2019), pp. 266-271
Closed Access | Times Cited: 6
Switching Scheme: A Novel Approach for Handling Incremental Concept Drift in Real-World Data Sets
Lucas Baier, Vincent Kellner, Niklas Kühl, et al.
Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences (2021)
Open Access | Times Cited: 6
Towards Accurate Predictions and Causal 'What-if' Analyses for Planning and Policy-making: A Case Study in Emergency Medical Services Demand
Kasun Bandara, Christoph Bergmeir, Sam Campbell, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 4
Use of Simulation Modeling to Select Input Variables in Predictive Models for the Demand for Emergency Medical Services in Russia
Svetlana Begicheva
(2020), pp. 101-105
Closed Access | Times Cited: 3
Spatiotemporal variations in ambulance demand: towards equitable emergency services in Sweden
Jacob Hassler, Vânia Ceccato
Geografiska Annaler Series B Human Geography (2023) Vol. 106, Iss. 3, pp. 253-273
Open Access | Times Cited: 1
DEAR: Dynamic Electric Ambulance Redeployment
Lukas Rottkamp, Niklas Strauß, Matthias Schubert
(2023) Vol. 13, pp. 11-20
Open Access | Times Cited: 1
Hospital selection decision in emergency medical services: a simulation-based assessment of assignment criteria
Daniela Tedesco, Giada Feletti, Paolo Trucco
Journal of Industrial and Production Engineering (2024) Vol. 41, Iss. 6, pp. 537-555
Closed Access
Generalistic Assessments of the Potential of Medical Drones in Urban Environment
Felix Wachter, Jannik Krivohlavek, Jonas Rossa, et al.
SUMO Conference Proceedings (2024) Vol. 5, pp. 57-70
Open Access
A Stacking Ensemble Machine Learning Model for Emergency Call Forecasting
Talotsing Gaelle Patricia Megouo, Samuel Pierre
IEEE Access (2024) Vol. 12, pp. 115820-115837
Open Access
Forecasting Ambulance Demand using Machine Learning: A Case Study from Oslo, Norway
Anna Haugsbo Hermansen, Ole J. Mengshoel
2021 IEEE Symposium Series on Computational Intelligence (SSCI) (2021), pp. 01-10
Closed Access | Times Cited: 3
Emergency Medical Services Demand: An Analysis of County-Level Social Determinants
Jackson D Déziel
Disaster Medicine and Public Health Preparedness (2022) Vol. 17
Closed Access | Times Cited: 2
Models for Dispatch of Volunteers in Daily Emergency Response
Niki Matinrad
Linköping studies in science and technology. Dissertations (2022)
Open Access | Times Cited: 1
Exploring the System Dynamics of COVID-19 and Reconfiguration of Emergency Medical Services
Muhammad Ali, F. Jordan Srour, Nabil Georges Badr, et al.
ITM Web of Conferences (2022) Vol. 41, pp. 01004-01004
Open Access | Times Cited: 1
Design of information technology classification based on medical data
Oksana Mulesa, Vitaliy Snytyuk, Mykhailo Trombola, et al.
Technology audit and production reserves (2020) Vol. 4, Iss. 2(54), pp. 10-14
Open Access | Times Cited: 1
Crisis Management in shopping malls using Different Regression Models
Venkateswararao Podile, Anuradha Averineni, Chappala Selvaraju, et al.
(2023), pp. 301-305
Closed Access
Switching Scheme: A Novel Approach for Handling Incremental Concept Drift in Real-World Data Sets
Lucas Baier, Vincent Kellner, Niklas Kühl, et al.
arXiv (Cornell University) (2020)
Closed Access
Service Analytics: Putting the “Smart” in Smart Services
Niklas Kühl, Hansjörg Fromm, Jakob Schöffer, et al.
Springer eBooks (2020), pp. 151-159
Closed Access
An Econometric Analysis of FDNY’s Systemwide EMS Dispatch, Response and Operational Performance During the 2020 Covid Lockdown Using a Negative Binomial Model With Multiple Fixed Effects
Ivan L. Pitt
Research Square (Research Square) (2022)
Open Access
Decision Support for Emergency Response to Multiple Natural Hazards : CHALLENGES AND NEEDS
Viktor Sköld Gustafsson
Linköping studies in science and technology. Thesis (2022)
Open Access
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