Thank you to our publisher, editors, editorial office, authors, and reviewers
Bibliographic record
Abstract
There are many people involved in producing the 12 issues per year of Optometry & Vision Science (OVS) and I would like to thank them all for their high-quality work over the last year. THANK YOU, WOLTERS KLUWER This is the last issue of OVS to be published by Wolters Kluwer and the American Academy of Optometry, and all those involved with the journal over many years (authors, reviewers, and editors) would like to thank all those people at Wolters Kluwer who have helped make it one of the leading optometry research journals. We particularly thank Sara Cleary, who has helped the journal over many years in several posts, including Senior Production Manager, and our Senior Production Editor Laura Mitchell. THANK YOU, OVS EDITORIAL BOARD The Editorial Board help the journal in many ways. First, they help me to triage all the many submissions we receive and provide some feedback to authors. This last year, we rejected without full review approximately 60% of submissions in an average time of 3 days. This means that (a) authors get a very quick decision if their submission is not going to be published and (b) we do not need to ask as many reviewers to review submissions (which hopefully means that when we do ask, reviewers are more likely to accept!). Second, the Editorial Board oversee submissions that go out for full review: after reading the manuscript, they choose appropriate reviewers and invite them, invite additional reviewers when some decline, and read the reviewer’s comments when they are sent in and make a decision of whether to reject the submission after review or send it for revision to the authors using the reviewers’ comments and their own. This process is repeated when the revised manuscript is submitted. Editorial Board members are also likely to be heavily involved in feature issues and reviewing (see sections below). The Board is listed below: Shrikant Bharadwaj Ava Bittner Bang Bui Mark Bullimore Nicole Carnt Susana Chung Michael Collins Susan Cotter Jennifer Craig Jonathan Denniss Laura Downie Erica Fletcher Ian Flitcroft Lyndon Jones Lisa Keay Marjean Taylor Kulp Nicola Logan Susana Marcos William Ngo Lisa Ostrin Eric Papas Thomas Raasch Scott Read Fiona Stapleton Hilde van der Aa James Wolffsohn Joanne Wood Karla Zadnik THANK YOU, TOPICAL EDITORS In addition to the Editorial Board, we sometimes ask researchers with a specific area of expertise that seems suitable for a particular submission to act as topical editors. In 2025, these included Emily Weicek and Elise Savier (two of our Council of Vision Editors fellows1), Andrew Hartwick, Ruth Manny, Don Mutti, Jason Porter, Andrew Pucker, Tawna Roberts, Padmaja Sankaridurg, Anita Ticak, and Michael Twa. THANK YOU, FEATURE ISSUE EDITORS Feature issues are highly regarded by authors and researchers as lots of relevant work can be found in one issue. The 2025 feature issues were Aging, the Eye and Vision System in February (editors Lisa Keay, Edmund Arthur, Erica Fletcher, Hilde van der Aa, Joanne Wood, Jonathan Denniss, Sheela Kumaran, and William Ngo) and Advances in Refractive Error Research in May (editors Mark Bullimore, Ian Flitcroft, Nicola Logan, Lisa Ostrin, Machelle Pardue, Jan Roelof Polling, Tom Raasch, and Pei-Chang Wu). They involve a lot of work, so thank you to the Editorial Board members and guest editors for producing two superb feature issues. THANK YOU, EDITORIAL OFFICE The OVS editorial office of Kurt Zadnik and Patricia Chasuk do a tremendous job that includes screening all submissions, chasing editors, reviewers, and authors to keep the process running quickly and smoothly, and quality check all aspects of an accepted submission before it goes to the publishers. Kurt has been the editorial office manager for nearly 30 years and he has seen all the mistakes that authors, reviewers, and editors can make and knows how to fix them! THANK YOU, AUTHORS Without authors submitting their research work, there would be no journal, so we very much thank all authors. Hopefully, the Editorial Board and reviewers provide useful feedback for those that do not get published. Those papers that do get published are helping us to increase the impact factor of the journal, which has increased from 1.4 in 2022 to 1.6 in 2023 and 1.8 last year. THANK YOU, REVIEWERS Last, but certainly not least, we must thank our reviewers, who do a tremendous job of critiquing submissions and helping authors to improve their papers. They do this in a short period of time and on top of their day jobs, so this is very much appreciated. Some researchers go above and beyond and review numerous submissions for us and it seems appropriate to thank them first (all those below reviewed four or more papers last year): Heather Anderson Sayantan Biswas Angela Chen Atanu Ghosh Siofra Harrington Lisa Keay Nicola Logan Ruth Manny Ann Morrison Don Mutti Lisa Ostrin Thomas Raasch Melinda Toomey J. Daniel Twelker Katherine Weise James Wolffsohn Although about half of our reviewers from the last year were based in the United States, the fact that half are from other parts of the world highlights the international nature of OVS. I have placed reviewers in parts of the world based on the information in the OVS database and I hope there are no errors. There may be omissions in this list for which I can only apologize. - Australia based David Alonso-Caneiro Andrew Anderson Ravi Bakaraju Alex Black Bang Bui Ranjay Chakraborty Kuoo-yi Chang Bo Chiang Luke Chong Stephen Dain Erica Fletcher Paul Gifford Peter Hendicott Shelley Hopkins Hosein Hoseini-Yazdi Rohan Hughes Alex Hui Lisa Keay Sheela Kumaran Gareth Lingham Michele Madigan Revathy Mani Maria Markoulli Lindsay McGrath Rabia Mobeen Roderick O’Day Sharon Oberstein Konrad Pesudovs Marianne Piano Scott Read Danuta Sampson Helen Swarbrick Daniel Tilia Melinda Toomey Andrew Turpin Ajay Kumar Vijay Ann Webber Mark Willcox Zhuoting Zhu Canada based Robert Allison Barbara Caffery Xiaoxin Chen Ralph Chou James Drover Ronald Gall Natalie Hutchings Langis Michaud Stephanie Wong Europe based Ralf Blendowske Laura Boccardo Jens Buehren Mario Canto Cerdan Miguel Faria Ribeiro Ian Flitcroft Siofra Harrington Rafael Iribarren D. Robert Iskander Antonio Filipe Macedo Jan Roelof Polling Franziska Rauscher Beatriz Redondo Victor Rodriguez-Lopez Jos Rozema Frank Schaeffel Noami Szell Eef van der Worp Kari Vienola Rest of the world based Srijana Adhikari Mosaad Alhassan Anitha Arvind Deepak Bagga Mark Benesia Shrikant Bharadwaj Sayantan Biswas Joanna Black Prema Chande Zhi Chen Ya-Yu Chen Hao Chen Pauline Cho Murat Dogru Yu Du Asif Iqbal Chea-su Kee Chea-su Kee Yu-Hung Lai Srinivas Marmamula Aldo Martinez Toshifumi Mihashi William Myles Aiswaryah Radhakrishnan Vidyut Rajhans Krishna Ramani PremNandhini Satgunam Zhihui She Einat Shneor Rebecca Sumalini Pavan Verkicharla Pei-Chang Wu Jin Yuan UK based Brendan Barrett W. Neil Charman Michael Crossland Leon Davies Alfredo Desiato Debarun Dutta Alistair Fielder Neema Ghorbani-Mojarrad Raquel Gil-Cazorla Jeremy Guggenheim Anna Horwood Stephanie Kearney Julie-Anne Little Nicola Logan Priya Morjaria Neil Retallic Dirk Seidel David A. Semp John Siderov Jonathan Silcock Niall Strang James Wolffsohn USA based Kaleb Abbott Samuel Adade Diane Adamczyk A. Philip Aitsebaomo Tara Alvarez Heather Anderson Olivia Bass Sherry Bass Carl Bassi Wesley Beaulieu Harold Bedell Edward Bennett Sharon Bentley David Berntsen Alex Bowers Mark Bullimore Allegra Burgher Megan Byer Genis Cardona Patrick Caroline Daphne Chan Melinda Chang Angela Chen Nathan Cheung Amy Chow Robert Chun Elise Ciner Christopher Clark Jeffrey Cooper Susan Cotter Rachel Coulter Vallabh Das Ananya Datta Ashley Deemer Karen DeLoss Pratyush Dhakal Sally Dillehay Bradley Dougherty Mitchell Dul, Jr Ann Elsner Murray Fingeret Nick Fogt Michael Gallaway Fatema Ghasia Atanu Ghosh Sowjanya Gowrisankaran Andrew Graham Jennifer Haensel Wendy Harrison Andrew Hartwick Robert Henderson Catherine Heyman Patrice Hicks Brianne Hobbs Peng Hong Kristine Hopkins Benjamin Jastrzembski Erin Jenewein Chris Johnson Michael Kalloniatis Arathy Kartha Kristen Kerber Safal Khanal Raymond Kraker Marjean Kulp Nicky Lai Tim Lam Debora Lee Meng Lin Michael Lipson Paula Luke Maureen Maguire Vivian Manh Ruth Manny Jason Marsack John McNally Ann Morrison Anne Mika Moy Donald Mutti Sonisha Neupane Lan Chi Nguyen Kelly Nichols Augustine Nti Morgan Ollinger Danielle Orr Lisa Ostrin Emmanuel Owusu Yi Pang Krupa Patel Maureen Plaumann Joan Portello Shrinivas Pundlik Riaz Qureshi Thomas Raasch Lyne Racette Aparna Raghuram Marielle Reidy Melissa Rice Tawna Roberts Daniel Roberts Danielle Robertson Nicole Ross Erin Rueff Daniella Rutner Aaron Salzano Alexander Schill Clifton Schor Muriel Schornack Ankoor Shah Rachel Simpson Christine Sindt Ping Situ Gayathri Srinivasan Kelsy Steele Allison Summers Jody Summers Patrice Tankam Anna Tichenor Erin Tomiyama Emmanouil Tsamis William Tuten Michael Twa J. Daniel Twelker Fuensanta Vera-Diaz Heidi Wagner Maria Walker Katherine Weise Emily Wiecek Ying-Zi Xiong Gui-shuang Ying Xiaoying Zhu
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".