Chaithanya Ramachandra

897 total citations
18 papers, 384 citations indexed

About

Chaithanya Ramachandra is a scholar working on Radiology, Nuclear Medicine and Imaging, Ophthalmology and Cognitive Neuroscience. According to data from OpenAlex, Chaithanya Ramachandra has authored 18 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Radiology, Nuclear Medicine and Imaging, 10 papers in Ophthalmology and 5 papers in Cognitive Neuroscience. Recurrent topics in Chaithanya Ramachandra's work include Retinal Imaging and Analysis (11 papers), Retinal Diseases and Treatments (9 papers) and Retinal and Optic Conditions (4 papers). Chaithanya Ramachandra is often cited by papers focused on Retinal Imaging and Analysis (11 papers), Retinal Diseases and Treatments (9 papers) and Retinal and Optic Conditions (4 papers). Chaithanya Ramachandra collaborates with scholars based in United States, India and United Kingdom. Chaithanya Ramachandra's co-authors include Sandeep Bhat, Kaushal Solanki, Malavika Bhaskaranand, Muneeswar Gupta Nittala, Srinivas R. Sadda, Jorge Cuadros, Bartlett W. Mel, Eli Peli, PremNandhini Satgunam and MiYoung Kwon and has published in prestigious journals such as NeuroImage, Neuroscience and Investigative Ophthalmology & Visual Science.

In The Last Decade

Chaithanya Ramachandra

17 papers receiving 375 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Chaithanya Ramachandra United States 8 313 260 55 52 37 18 384
Yan Tong China 10 286 0.9× 176 0.7× 96 1.7× 49 0.9× 24 0.6× 32 435
Sonja Karst Austria 14 320 1.0× 310 1.2× 25 0.5× 46 0.9× 44 1.2× 24 430
Roberto Vega Canada 8 114 0.4× 76 0.3× 35 0.6× 71 1.4× 11 0.3× 15 243
Skylar E. Stolte United States 7 174 0.6× 90 0.3× 43 0.8× 62 1.2× 12 0.3× 12 271
Hiroki Enno Japan 10 373 1.2× 342 1.3× 8 0.1× 47 0.9× 16 0.4× 12 482
Jack Phu Australia 18 789 2.5× 877 3.4× 93 1.7× 63 1.2× 76 2.1× 81 1.0k
Zhi Da Soh Singapore 14 373 1.2× 356 1.4× 11 0.2× 21 0.4× 96 2.6× 39 494
Giovanni Ometto United Kingdom 12 178 0.6× 257 1.0× 12 0.2× 19 0.4× 29 0.8× 37 316
Hanpei Miao China 9 164 0.5× 124 0.5× 17 0.3× 42 0.8× 24 0.6× 21 253
Ryan T. Yanagihara United States 11 339 1.1× 387 1.5× 9 0.2× 22 0.4× 88 2.4× 22 516

Countries citing papers authored by Chaithanya Ramachandra

Since Specialization
Citations

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

Fields of papers citing papers by Chaithanya Ramachandra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chaithanya Ramachandra

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

All Works

18 of 18 papers shown
1.
Seifert, Marva, Nicole A. Stadnick, Carrie M. Geremia, et al.. (2025). Diabetic Retinopathy Screening Among Federally Qualified Health Center Patients Using Point-of-Care AI. JAMA Network Open. 8(10). e2538114–e2538114.
2.
Nittala, Muneeswar Gupta, Swetha Bindu Velaga, Chaithanya Ramachandra, et al.. (2023). Comparison of diabetic retinopathy severity grading on ETDRS 7-field versus ultrawide-field assessment. Eye. 37(14). 2946–2949. 6 indexed citations
3.
Jin, Lei, et al.. (2022). Classical-Contextual Interactions in V1 May Rely on Dendritic Computations. Neuroscience. 489. 234–250. 1 indexed citations
4.
Boulton, A. J. M., et al.. (2022). IDF21-0386 DFU Track: Building a novel, Artificial Intelligence-based method to monitor wound healing. Diabetes Research and Clinical Practice. 186. 109439–109439. 2 indexed citations
5.
Kim, Tyson N., Patrick Li, José Dávila, et al.. (2020). Comparison of automated and expert human grading of diabetic retinopathy using smartphone-based retinal photography. Eye. 35(1). 334–342. 2 indexed citations
6.
Bhaskaranand, Malavika, Chaithanya Ramachandra, Sandeep Bhat, et al.. (2019). The Value of Automated Diabetic Retinopathy Screening with the EyeArt System: A Study of More Than 100,000 Consecutive Encounters from People with Diabetes. Diabetes Technology & Therapeutics. 21(11). 635–643. 135 indexed citations
7.
Wang, Kang, Chaitra Jayadev, Muneeswar Gupta Nittala, et al.. (2017). Automated detection of diabetic retinopathy lesions on ultrawidefield pseudocolour images. Acta Ophthalmologica. 96(2). e168–e173. 25 indexed citations
8.
Bhat, Sandeep, Malavika Bhaskaranand, Chaithanya Ramachandra, et al.. (2016). Automated image analysis for Diabetic Retinopathy Screening with iPhone-based fundus camera. Investigative Ophthalmology & Visual Science. 57(12). 5964–5964. 2 indexed citations
9.
Bhaskaranand, Malavika, Chaithanya Ramachandra, Sandeep Bhat, et al.. (2016). Automated Diabetic Retinopathy Screening and Monitoring Using Retinal Fundus Image Analysis. Journal of Diabetes Science and Technology. 10(2). 254–261. 83 indexed citations
10.
Ramachandra, Chaithanya, Sandeep Bhat, Malavika Bhaskaranand, et al.. (2015). Advanced retinal image analysis for AMD screening applications. Investigative Ophthalmology & Visual Science. 56(7). 3964–3964. 2 indexed citations
11.
Bhat, Sandeep, Malavika Bhaskaranand, Chaithanya Ramachandra, et al.. (2015). Fully-automated Diabetic Retinopathy Screening Using Cellphone-based Cameras. Investigative Ophthalmology & Visual Science. 56(7). 1428–1428. 5 indexed citations
12.
Solanki, Kaushal, Chaithanya Ramachandra, Sandeep Bhat, et al.. (2015). EyeArt: Automated, High-throughput, Image Analysis for Diabetic Retinopathy Screening. Investigative Ophthalmology & Visual Science. 56(7). 1429–1429. 26 indexed citations
13.
Bhaskaranand, Malavika, Jorge Cuadros, Chaithanya Ramachandra, et al.. (2015). EyeArt + EyePACS: Automated Retinal Image Analysis For Diabetic Retinopathy Screening in a Telemedicine System. 10 indexed citations
14.
Ramachandra, Chaithanya & Bartlett W. Mel. (2013). Computing local edge probability in natural scenes from a population of oriented simple cells. Journal of Vision. 13(14). 19–19. 7 indexed citations
15.
Kwon, MiYoung, Chaithanya Ramachandra, PremNandhini Satgunam, et al.. (2012). Contour Enhancement Benefits Older Adults with Simulated Central Field Loss. Optometry and Vision Science. 89(9). 1374–1384. 29 indexed citations
16.
Satgunam, PremNandhini, Russell L. Woods, Gang Luo, et al.. (2012). Effects of Contour Enhancement on Low-Vision Preference and Visual Search. Optometry and Vision Science. 89(9). E1364–E1373. 25 indexed citations
17.
Prakash, Neal, Jonathan Biag, Sameer A. Sheth, et al.. (2007). Temporal profiles and 2-dimensional oxy-, deoxy-, and total-hemoglobin somatosensory maps in rat versus mouse cortex. NeuroImage. 37. S27–S36. 21 indexed citations
18.
Ramachandra, Chaithanya, et al.. (1992). Colonoscopically reduced intussusception and testicular involvement in Henoch-Schonlein purpura.. PubMed. 29(9). 1141–3. 3 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.

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