🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

N. Venkatesh Prajna

Aravind Eye Hospital

ORCID: 0000-0003-2019-4044

Medicine

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 5%percentile

0.463Author DataRank

Indexed papers

1in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Why this DataRank?

An author's DataRank is the sum of the DataRanks of all 1 indexed paper attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.

Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.

Read the full methodology →

The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.

Deep Convolutional Neural Networks Detect no Morphological Differences Between Culture-Positive and Culture-Negative Infectious Keratitis Images

Translational Vision Science & Technology(2023)10.1167/tvst.12.1.12

Top 41%

0.463DataRank

Top 41%8 citations

Prajna Lalitha, N. Venkatesh Prajna, Gunasekaran Rameshkumar, Jeremy D. Keenan, J. Peter Campbell +3 more

Papers

Driven by 14 papers — median percentile 59. Top paper: “Deep Convolutional Neural Networks Detect no Morphological Differences Between Culture-Positive and Culture-Negative Infectious Keratitis Images”.

Deep Convolutional Neural Networks Detect no Morphological Differences Between Culture-Positive and Culture-Negative Infectious Keratitis Images

Translational Vision Science & Technology(2023)10.1167/tvst.12.1.12

Top 41%

0.463DataRank

Top 41%8 citations

Prajna Lalitha, N. Venkatesh Prajna, Gunasekaran Rameshkumar, Jeremy D. Keenan, J. Peter Campbell +3 more

Smartphone-based Anterior Segment Imaging: A Comparative Diagnostic Accuracy Study of a Potential Tool for Blindness Prevalence Surveys

Ophthalmic Epidemiology(2021)10.1080/09286586.2021.1980589

N/A

0.373DataRank · unranked

11 citations

Ferhina S. Ali, Valerie M. Stevens, Jason Melo, N. Venkatesh Prajna, Prajna Lalitha +8 more

Expert Performance in Visual Differentiation of Bacterial and Fungal Keratitis

Ophthalmology(2021)10.1016/j.ophtha.2021.09.019

N/A

0DataRank · unranked

31 citations

N. Venkatesh Prajna, Muthiah Srinivasan, Prajna Lalitha, Tiru Krishnan, Revathi Rajaraman +73 more

Image-Based Differentiation of Bacterial and Fungal Keratitis Using Deep Convolutional Neural Networks

Ophthalmology Science(2022)10.1016/j.xops.2022.100119

N/A

0DataRank · unranked

59 citations

N. Venkatesh Prajna, Muthiah Srinivasan, Prajna Lalitha, Tiru Krishnan, Revathi Rajaraman +8 more

Deep sequencing analysis of clinical samples from patients with acute infectious conjunctivitis during the COVID-19 delta surge in Madurai, India

Journal of Clinical Virology(2022)10.1016/j.jcv.2022.105318

N/A

0DataRank · unranked

19 citations

N. Venkatesh Prajna, Gunasekaran Rameshkumar, Gonugunta Vishnu Teja, Sankalp Singh Sharma, Armin Hinterwirth +10 more

Outcomes of Pythium keratitis: A Meta-Analysis of Individual Patient Data

Current Ophthalmology Reports(2022)10.1007/s40135-022-00302-7

N/A

0DataRank · unranked

9 citations

Vishnu Teja Gonugunta, Naveen Radhakrishnan, Prajna Lalitha, Bharat Gurnani, Kirandeep Kaur +6 more

Apollo Rising: Acute Conjunctivitis Outbreak in India, 2022

Cornea Open(2023)10.1097/coa.0000000000000009

N/A

0DataRank · unranked

14 citations

Prajna Lalitha, Vishnu Teja, Ramesh Gunasekaran, Cindi Chen, Kevin Ruder +12 more

Assessing the Impact of Image Quality on Deep Learning Classification of Infectious Keratitis

Ophthalmology Science(2023)10.1016/j.xops.2023.100331

N/A

0DataRank · unranked

13 citations

N. Venkatesh Prajna, Prajna Lalitha, Erin Napier, Maria A. Parker, Peter Steinkamp +5 more

Heterogenous pathogen profile associated with acute conjunctivitis in Nepal

International Health(2023)10.1093/inthealth/ihad079

N/A

0DataRank · unranked

1 citations

Sanjeeta Sitaula, Kevin Ruder, Cindi Chen, Lina Zhong, Yu Heng Lu +84 more

The effect of social determinants of health on severity of microbial keratitis presentation at a tertiary eye care hospital in Southern India

Indian Journal of Ophthalmology(2023)10.4103/ijo.ijo_331_23

N/A

0DataRank · unranked

3 citations

Patrice M. Hicks, Ming-Chen Lu, Mercy Pawar, Prabhleen Kochar, Suvitha Selvaraj +9 more

Coxsackievirus A24 causing acute conjunctivitis in a 2023 outbreak in Vietnam

International Journal of Infectious Diseases(2024)10.1016/j.ijid.2024.107133

N/A

0DataRank · unranked

11 citations

Thao Ha, Linh Hoang, Yen Tran, Kevin Ruder, Lina Zhong +84 more

Evaluation of Metagenomic Deep Sequencing as a Diagnostic Test for Infectious Keratitis

Ophthalmology(2020)10.1016/j.ophtha.2020.07.030

N/A

0DataRank · unranked

41 citations

N. Venkatesh Prajna, Sikha Misra, Gunasekaran Rameshkumar, Armin Hinterwirth, Lee Worden +7 more

Association of Weather Variables With Pathogens Contributing to Conjunctivitis Worldwide

Clinical Infectious Diseases(2024)10.1093/cid/ciae417

N/A

0DataRank · unranked

3 citations

N. Venkatesh Prajna, Prajna Lalitha, Wiwan Sansanayudh, Vannarut Satitpitakul, Wipada Laovirojjanakul +32 more

Reply

Ophthalmology(2020)10.1016/j.ophtha.2020.02.031

N/A

0DataRank · unranked

0 citations

Naveen Radhakrishnan, Prajna Lalitha, Travis C. Porco, Thomas M. Lietman, Jennifer Rose‐Nussbaumer +1 more