This map shows the geographic impact of Bhavna Antony's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Bhavna Antony with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bhavna Antony more than expected).
This network shows the impact of papers produced by Bhavna Antony. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Bhavna Antony. The network helps show where Bhavna Antony may publish in the future.
Co-authorship network of co-authors of Bhavna Antony
This figure shows the co-authorship network connecting the top 25 collaborators of Bhavna Antony.
A scholar is included among the top collaborators of Bhavna Antony based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Bhavna Antony. Bhavna Antony is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Al‐Aswad, Lama A., Rithambara Ramachandran, Joel S. Schuman, et al.. (2022). Artificial Intelligence for Glaucoma. Ophthalmology Glaucoma. 5(5). e16–e25.13 indexed citations
Sedai, Suman, Bhavna Antony, Hiroshi Ishikawa, Gadi Wollstein, & Joel S. Schuman. (2019). Forecasting Visual Field parameters at the Future visits using machine learning regression. Investigative Ophthalmology & Visual Science. 60(9). 1465–1465.2 indexed citations
11.
Maetschke, Stefan, et al.. (2019). Inference of visual field test results from OCT volumes using deep learning.. Investigative Ophthalmology & Visual Science. 60(9). 1487–1487.2 indexed citations
Lujan, Brandon J., et al.. (2016). Altered Photoreceptor Bands Surrounding Areas of Loss in MacTel Cause En Face OCT Endpoint Variability. Investigative Ophthalmology & Visual Science. 57(12). 4250–4250.1 indexed citations
Küçükevcilioğlu, Murat, Woojin Jeong, Mona K. Garvin, et al.. (2014). Retinal thinning in mice with streptozotocin-induced diabetes mellitus. Investigative Ophthalmology & Visual Science. 55(13). 2257–2257.2 indexed citations
17.
Jeong, Woo‐Jin, Michael D. Abràmoff, Bhavna Antony, et al.. (2013). Retinal thickness changes in mice with streptozotocin-induced diabetes mellitus quantified using an enhanced Iowa Reference Algorithm. Investigative Ophthalmology & Visual Science. 54(15). 4883–4883.1 indexed citations
18.
Antony, Bhavna, et al.. (2013). Segmentation of Multiple Intra-retinal Surfaces in Volumetric SD-OCT Images of Mouse Eyes Using an Improved Iowa Reference Algorithm. Investigative Ophthalmology & Visual Science. 54(15). 4892–4892.2 indexed citations
19.
Wang, Jui-Kai, Randy H. Kardon, Bhavna Antony, Mark J. Kupersmith, & Mona K. Garvin. (2011). Comparison of an Automated Method for Volumetric Quantification of Papilledema with the Frisén Scale. Investigative Ophthalmology & Visual Science. 52(14). 2986–2986.1 indexed citations
20.
Antony, Bhavna, Li Tang, Michael D. Abràmoff, et al.. (2010). Automated Method for the Flattening of Optical Coherence Tomography Images. Investigative Ophthalmology & Visual Science. 51(13). 1781–1781.1 indexed citations
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive
bibliographic database. While OpenAlex provides broad and valuable coverage of the global
research landscape, it—like all bibliographic datasets—has inherent limitations. These include
incomplete records, variations in author disambiguation, differences in journal indexing, and
delays in data updates. As a result, some metrics and network relationships displayed in
Rankless may not fully capture the entirety of a scholar's output or impact.