Journal for Modeling in Ophthalmology

Aims & Scope

While the rapid advance of imaging technologies in ophthalmology is making available a continually increasing number of data, the interpretation of such data is still very challenging and this hinders the advance in the understanding of ocular diseases and their treatment.

Interdisciplinary approaches encompassing ophthalmology, physiology, mathematics, engineering, and computer science have shown great capabilities in data analysis and interpretation for advancing basic and applied clinical sciences.

Modeling and Artificial Intelligence in Ophthalmology (MAIO) was created with the aim of providing a forum for interdisciplinary approaches integrating mathematical and computational methods with experimental and clinical studies to address open problems in ophthalmology.

MAIO welcomes articles that investigate questions related to the anatomy, physiology and function of the eye in health and disease.

The objectives of MAIO are: -To provide a platform for the publication of techniques involving modeling and artificial intelligence applied to ophthalmology. -To strengthen bridges across disciplines and disseminate information regarding open questions and novel interdisciplinary approaches to scientists with interests in ophthalmology, physiology, mathematics, engineering, and computer science. -To promote interdisciplinary collaborations that can deepen the understanding of ocular diseases and improve the care of patients.

Authors are encouraged to address the multi-disciplinary MAIO audience by explaining the details of their approach as well as the scientific and clinical relevance of the results.

MAIO publishes full research articles, abstracts, and editorials.

View Aims & Scope

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Metrics & Ranking

Journal Rank

Year	Value
2024	23640

Journal Citation Indicator

Year	Value
2024	7

SJR (SCImago Journal Rank)

Year	Value
2024	0.162

Quartile

Year	Value
2024	Q4

h-index

Year	Value
2024	3

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Medicine, designed to support cutting-edge academic discovery.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• FIRE: Fundus Image Registration dataset

  Citation: 77

  Authors: Carlos, Xenophon, Areti, Panagiota, Stella, Antonis A

• Modeling autoregulation in three-dimensional simulations of retinal hemodynamics

  Citation: 5

  Authors: Matteo, Jean-Frédéric, Damiano

• An imaged-based inverse finite element method to determine in-vivo mechanical properties of the human trabecular meshwork

  Citation: 4

  Authors: Anup D., Larry, Joel S., Ian A., Rouzbeh

• Equilibrium shape of the aqueous humor-vitreous substitute interface in vitrectomized eyes

  Citation: 4

  Authors: Krystyna, Jan O., Mario R., Jan-Willem M., Denis P., Rodolfo

• On the recovery of the stress-free configuration of the human cornea

  Citation: 3

  Authors: Anna, Andrea

• Mathematical modeling and glaucoma: the need for an individualized approach to risk assessment

  Citation: 3

  Authors: Alice Chandra, Alon, Jareau Vance, Thai, James, Aditya, Brent

• Mathematical modeling of aqueous humor flow and intraocular pressure under uncertainty: towards individualized glaucoma management

  Citation: 3

  Authors: Marcela, Simone, Giovanna, Christophe, Riccardo, Brent, Alon

• Automated classification of dry eye type analyzing interference fringe color images of tear film using machine learning techniques

  Citation: 3

  Authors: Katsumi, Reiko, Takanori

• Potent and selective antisense oligonucleotides targeting the transforming growth factor beta (TGF-β) isoforms in advanced glaucoma: a preclinical evaluation

  Citation: 2

  Authors: Kathy, Tine, Evelien, Lies, Inge, Lieve, Ingeborg, Petra, Eugen, Katja, Michel

• Influence of benzalkonium chloride on tear film lipid layer stability: a molecular level view by employing in silico modeling

  Citation: 2

  Authors: Kamila, Adela, Agnieszka, Philippe, Jean-Sebastien, Lukasz

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