Riaz Qureshi

Riaz Qureshi

Johns Hopkins University

H-index: 13

North America-United States

About Riaz Qureshi

Riaz Qureshi, With an exceptional h-index of 13 and a recent h-index of 13 (since 2020), a distinguished researcher at Johns Hopkins University, specializes in the field of Epidemiology, Evidence-Synthesis, Clinical Trials, Evidence-Based Medicine.

His recent articles reflect a diverse array of research interests and contributions to the field:

GPT's Performance in Identifying Outcome Changes on ClinicalTrials. gov

Patient barriers and facilitators for making environmental and behavioral modifications for dry eye in the United States

Prevalence of dry eye and Meibomian gland dysfunction in Central and South America: a systematic review and meta-analysis

Social Determinants of Dry Eye in the United States: A Systematic Review

Predictors of Citations for Original Research in Ophthalmology

Are ChatGPT and large language models “the answer” to bringing us closer to systematic review automation?

Conducting separate reviews of benefits and harms could improve systematic reviews and meta-analyses

TFOS lifestyle-Evidence quality report: Advancing the evaluation and synthesis of research evidence

Riaz Qureshi Information

University

Position

Johns Hopkins Bloomberg School of Public Health

Citations(all)

474

Citations(since 2020)

408

Cited By

129

hIndex(all)

13

hIndex(since 2020)

13

i10Index(all)

15

i10Index(since 2020)

15

Email

University Profile Page

Google Scholar

Riaz Qureshi Skills & Research Interests

Epidemiology

Evidence-Synthesis

Clinical Trials

Evidence-Based Medicine

Top articles of Riaz Qureshi

GPT's Performance in Identifying Outcome Changes on ClinicalTrials. gov

2024/2/29

Patient barriers and facilitators for making environmental and behavioral modifications for dry eye in the United States

Investigative Ophthalmology & Visual Science

2023/6/1

Prevalence of dry eye and Meibomian gland dysfunction in Central and South America: a systematic review and meta-analysis

2024/1/31

Riaz Qureshi
Riaz Qureshi

H-Index: 6

Social Determinants of Dry Eye in the United States: A Systematic Review

2024/1/17

Riaz Qureshi
Riaz Qureshi

H-Index: 6

Predictors of Citations for Original Research in Ophthalmology

Seminars in Ophthalmology

2023/5/19

Riaz Qureshi
Riaz Qureshi

H-Index: 6

Are ChatGPT and large language models “the answer” to bringing us closer to systematic review automation?

2023/4/29

Riaz Qureshi
Riaz Qureshi

H-Index: 6

Conducting separate reviews of benefits and harms could improve systematic reviews and meta-analyses

2023/4/15

Evan Mayo-Wilson
Evan Mayo-Wilson

H-Index: 33

Riaz Qureshi
Riaz Qureshi

H-Index: 6

TFOS lifestyle-Evidence quality report: Advancing the evaluation and synthesis of research evidence

2023/4/11

Riaz Qureshi
Riaz Qureshi

H-Index: 6

TFOS lifestyle: Impact of societal challenges on the ocular surface

2023/4/1

Author, study, and publication metrics of brief reports and full‐length research articles in ophthalmology journals

Clinical & Experimental Ophthalmology

2023/3

Riaz Qureshi
Riaz Qureshi

H-Index: 6

Interventions for improving adherence to amblyopia treatments in children

2023

Melissa Rice
Melissa Rice

H-Index: 29

Riaz Qureshi
Riaz Qureshi

H-Index: 6

David Sackett Young Investigator Award

Journal of Clinical Epidemiology

2016

Predictors of citation count for systematic reviews in ophthalmology

Graefe's Archive for Clinical and Experimental Ophthalmology

2023/1

Riaz Qureshi
Riaz Qureshi

H-Index: 6

Interventions for Dry Eye: An Overview of Systematic Reviews

2023/12/21

Riaz Qureshi
Riaz Qureshi

H-Index: 6

Harms were detected but not reported in six clinical trials of gabapentin

2023/12/1

Prolonged facemask wearing among hospital workers and dry eye–a mixed-methods study

BMC ophthalmology

2023/10/19

Riaz Qureshi
Riaz Qureshi

H-Index: 6

Vision and demographic characteristics of nursing home residents and duration of care

Investigative Ophthalmology & Visual Science

2023/6/1

Diagnostic Performance of Deep Learning in Infectious Keratitis: A Systematic Review and Meta-Analysis Protocol

2022/1/1

Comparing the Value of Data Visualization Methods for Communicating Harms in Clinical Trials

2022

See List of Professors in Riaz Qureshi University(Johns Hopkins University)

Co-Authors

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