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Translational Vision Science and Technology
H-index 34

Translational Vision Science and Technology

Published by: Association for Research in Vision and Ophthalmology

https://tvst.arvojournals.org/

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Medicine 677 217 406 29

Additional Metrics

Number of Best Scientists*: 512
Documents by Best Scientists*: 699
Top 100 Ranked Scientists*: 12
SCIMAGO H-index: 49
SCIMAGO SJR: 0.992
Impact Factor: 2.6

Overview

Top Research Topics at Translational Vision Science & Technology?

Translational Vision Science & Technology is organized to address concerns in the fields of Ophthalmology, Retinal, Optical coherence tomography, Glaucoma and Retina. Visual acuity, Cornea, Intraocular pressure, Nerve fiber layer and Macular degeneration are all areas of Ophthalmology tackled in it. Research on Macular degeneration addressed in Translational Vision Science & Technology frequently intersections with the field of Age related.

The research on Retinal tackled can also make contributions to studies in the areas of Diabetic retinopathy and Pathology. Segmentation, Artificial intelligence, Medical imaging and Biomedical engineering are some topics wherein Optical coherence tomography research discussed in Translational Vision Science & Technology have an impact. Artificial intelligence study tackled is connected to the field of Receiver operating characteristic.

The studies on Glaucoma discussed can also contribute to research in the domains of Visual field and Optic nerve. The journal focused on Visual field research but expanded to cover Audiology.

  • Ophthalmology (40.88%)
  • Retinal (22.69%)
  • Optical coherence tomography (19.31%)

What are the most cited papers published in the journal?

  • The Biomechanical Effect of Corneal Collagen Cross-Linking (CXL) With Riboflavin and UV-A is Oxygen Dependent (148 citations)
  • The Nature of Macular Damage in Glaucoma as Revealed by Averaging Optical Coherence Tomography Data (112 citations)
  • Terpinen-4-ol is the Most Active Ingredient of Tea Tree Oil to Kill Demodex Mites (79 citations)

Research areas of the most cited articles at Translational Vision Science & Technology:

The journal publications mostly deal with topics like Ophthalmology, Optical coherence tomography, Retinal, Glaucoma and Visual field. The published articles with studies in Ophthalmology featured incorporate elements of Diabetic retinopathy and Repeatability. The published articles focus on Retinal but the discussions also offer insight into other areas such as Retina and Correlation.

Papers citation over time

A key indicator for each journal is its effectiveness in reaching other researchers with the papers published at that venue.

The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.

The top authors publishing in Translational Vision Science & Technology (based on the number of publications) are:

  • Joseph Carroll (23 papers) published 4 papers at the last edition, 1 less than at the previous edition,
  • Donald C. Hood (20 papers) published 1 paper at the last edition, 1 less than at the previous edition,
  • Robert Ritch (18 papers) absent at the last edition,
  • David G. Birch (16 papers) published 1 paper at the last edition, 4 less than at the previous edition,
  • Eli Peli (15 papers) absent at the last edition.

The overall trend for top authors publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top authors.

Only papers with recognized affiliations are considered

The top affiliations publishing in Translational Vision Science & Technology (based on the number of publications) are:

  • University of Melbourne (65 papers) published 10 papers at the last edition, 3 less than at the previous edition,
  • Massachusetts Eye and Ear Infirmary (63 papers) published 13 papers at the last edition, 11 less than at the previous edition,
  • Harvard University (48 papers) published 7 papers at the last edition, 16 less than at the previous edition,
  • University of California, Los Angeles (46 papers) published 11 papers at the last edition, 2 less than at the previous edition,
  • Oregon Health & Science University (42 papers) published 10 papers at the last edition the same number as at the previous edition.

The overall trend for top affiliations publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top affiliations.

Publication chance based on affiliation

The publication chance index shows the ratio of articles published by the best research institutions in the journal edition to all articles published within that journal. The best research institutions were selected based on the largest number of articles published during all editions of the journal.

The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.

During the most recent 2021 edition, 2.03% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 20.71% were posted by at least one author from the top 10 institutions publishing in the journal. Another 13.02% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 17.16% of all publications and 49.11% were from other institutions.

Returning Authors Index

A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of journals they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same journal from year to year.

The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the journal in relation to all participants in a given year.

Returning Institution Index

The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.

The experience to innovation index

Our experience to innovation index was created to show a cross-section of the experience level of authors publishing in a journal. The index includes the authors publishing at the last edition of a journal, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).

The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:

  • Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
  • Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
  • Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
  • Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
  • Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

Practical Applications and Career Paths in Vision Science & Technology

Delving into the diverse field of Translational Vision Science & Technology is both comprehensive and stimulating. Experts and scholars contributing to this field not only impact the medical and technological domains but also inspire various career paths. One of the career prospects that benefits significantly from these scientific advancements is Speech-Language Pathology. Speech-Language Pathologists, or speech therapists, work closely with patients who have communication and swallowing disorders. They require a robust knowledge of human anatomy and physiology, particularly with regards to visual signals and their interpretation in the brain. This is where research in Ophthalmology, Retinal, Optical Coherence Tomography, Glaucoma, and Retina prove beneficial. Twists and turns in this research field can lead to potential breakthroughs in the assessment and treatment strategies that speech therapists use. For those interested in pursuing this career path, it is beneficial to have a grasp of the research developments in Translational Vision Science & Technology. Are you curious about how to enhance your skills and become a speech therapist in Arizona? Learn more about the prerequisites, educational requirements, and career outlook in this comprehensive guide on how to become a speech therapist in Arizona. By synergizing the in-depth research and practical application, you can make a remarkable difference in many individuals' lives through speech therapy. Insight, innovation, and impact through clinical practice are what Translational Vision Science & Technology aims to encourage in its readers and contributors.

Top Publications

  • A Review of Deep Learning for Screening, Diagnosis, and Detection of Glaucoma Progression.

    Atalie C. Thompson;Alessandro A. Jammal;Felipe A. Medeiros

    (2020)
    126 Citations
  • Addressing Artificial Intelligence Bias in Retinal Diagnostics

    Philippe Burlina;Philippe Burlina;Neil Joshi;William Paul;Katia D. Pacheco

    (2021)
    121 Citations
  • Artificial Intelligence to Stratify Severity of Age-Related Macular Degeneration (AMD) and Predict Risk of Progression to Late AMD.

    Alauddin Bhuiyan;Tien Yin Wong;Tien Yin Wong;Daniel Shu Wei Ting;Daniel Shu Wei Ting;Arun Govindaiah

    (2020)
    79 Citations
  • Advancing Clinical Trials for Inherited Retinal Diseases: Recommendations from the Second Monaciano Symposium

    Debra A. Thompson;Alessandro Iannaccone;Robin R. Ali;Robin R. Ali;Vadim Y. Arshavsky

    (2020)
    71 Citations
  • Artificial Intelligence Mapping of Structure to Function in Glaucoma

    Eduardo B. Mariottoni;Eduardo B. Mariottoni;Shounak Datta;David Dov;Alessandro A. Jammal

    (2020)
    56 Citations
  • One-Year Follow-Up in a Phase 1/2a Clinical Trial of an Allogeneic RPE Cell Bioengineered Implant for Advanced Dry Age-Related Macular Degeneration

    Amir H Kashani;Jane S Lebkowski;Firas M Rahhal;Robert L Avery

    (2021)
    54 Citations
  • Harmonization of Outcomes and Vision Endpoints in Vision Restoration Trials: Recommendations from the International HOVER Taskforce.

    Lauren N. Ayton;Joseph F. Rizzo;Ian L. Bailey;August Colenbrander

    (2020)
    53 Citations
  • Climatic and Environmental Correlates of Dry Eye Disease Severity: A Report From the Dry Eye Assessment and Management (DREAM) Study

    Erich J. Berg;Gui-shuang Ying;Maureen G. Maguire;Perry E. Sheffield

    (2020)
    51 Citations
  • Topical Losartan and Corticosteroid Additively Inhibit Corneal Stromal Myofibroblast Generation and Scarring Fibrosis After Alkali Burn Injury

    (2022)
    50 Citations

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