Neha Anegondi

680 citations
26 papers · 357 indexed · h-index 8
Topics
Retinal Diseases and Treatments (16 papers)Retinal Imaging and Analysis (14 papers)Glaucoma and retinal disorders (7 papers)
Journals
SHILAP Revista de lepidopterologíaOphthalmologyPLoS Genetics

In The Last Decade

Neha Anegondi

22 papers receiving 348 citations

Peers

Neha Anegondi
Comparison fields: 5 of 34
  • Ophthalmology 316
  • Radiology, Nuclear Medicine and Imaging 280
  • Biomedical Engineering 39
  • Epidemiology 22
  • Molecular Biology 16
Replace Mengyuan Ke with:
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Citations per field
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Citations per year

Countries citing papers authored by Neha Anegondi

Since Specialization
Citations

This map shows the geographic impact of Neha Anegondi'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 Neha Anegondi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neha Anegondi more than expected).

Fields of papers citing papers by Neha Anegondi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Neha Anegondi. 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 Neha Anegondi. The network helps show where Neha Anegondi may publish in the future.

Co-authorship network of co-authors of Neha Anegondi

This figure shows the co-authorship network connecting the top 25 collaborators of Neha Anegondi. A scholar is included among the top collaborators of Neha Anegondi 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 Neha Anegondi. Neha Anegondi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
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Automated screening of moderately severe and severe nonproliferative diabetic retinopathy (NPDR) from 7-field color fundus photographs (7F-CFP) using deep learning (DL)
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Multi-modal Geographic Atrophy Lesion Growth Rate Prediction using Deep Learning
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Analysis of numerical feature extraction from automated geographic atrophy segmentation
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Change in geographic atrophy lesion area: comparison between fully automatic segmentation and semi-automatic segmentation
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Evaluation of shape-descriptive and texture features as potential prognostic variables in progression of geographic atrophy.
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About Neha Anegondi

Neha Anegondi is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging and Biophysics, having authored 26 papers that have together received 357 indexed citations. Recurring topics across this work include Retinal Diseases and Treatments (16 papers), Retinal Imaging and Analysis (14 papers) and Glaucoma and retinal disorders (7 papers). The work is most often cited by research in Ophthalmology (316 citations), Radiology, Nuclear Medicine and Imaging (280 citations) and Health Informatics (2 citations). Neha Anegondi has collaborated with scholars based in United States, India and Switzerland. Frequent co-authors include Abhijit Sinha Roy, Devanshi Bhanushali, Lavanya Chidambara, Santosh Gopi Krishna Gadde, Naresh Kumar Yadav, Priya Srinivasan, Rajesh S. Kumar, Tin Aung, Harsha L. Rao and Simon S. Gao. Their work appears in journals such as SHILAP Revista de lepidopterología, Ophthalmology and PLoS Genetics.

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.

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