Author

Ritu Agarwal

Johns Hopkins Carey Business School - Cited by 48,001 - Healthcare information technology - health analytics - AI in healthcare - innovation adoption and diffusion

Biography

Agarwal Ritu is a Professor, Department of Biotechnology and Biochemistry, Career College, Bhopal 462 023, M.P, India. His research interests include Biochemistry, Molecular Biology, Toxicology, Toxicity, Fertility.
Title
Cited by
Year
The creation of social value
JM Goh, G Gao, R AgarwalMIS quarterly 40 (1), 247-264, 2016201
319
2016
Matching platforms and HIV incidence: An empirical investigation of race, gender, and socioeconomic status
BN Greenwood, R AgarwalManagement Science 62 (8), 2281-2303, 2016201
133
2016
Emerging technologies and analytics for a new era of value-centered marketing in healthcare
R Agarwal, M Dugas, G Gao, PK KannanJournal of the Academy of Marketing Science 48, 9-23, 2020202
98
2020
Socioeconomic privilege and political ideology are associated with racial disparity in COVID-19 vaccination
R Agarwal, M Dugas, J Ramaprasad, J Luo, G Li, G GaoProceedings of the National Academy of Sciences 118 (33), e2107873118, 2021202
96
2021
Unpacking mHealth interventions: a systematic review of behavior change techniques used in randomized controlled trials assessing mHealth effectiveness
M Dugas, G Gao, R AgarwalDigital health 6, 2055207620905411, 2020202
66
2020
How online quality ratings influence patients’ choice of medical providers: controlled experimental survey study
N Yaraghi, W Wang, G Gao, R AgarwalJournal of medical Internet research 20 (3), e99, 2018201
54
2018
Individual differences in regulatory mode moderate the effectiveness of a pilot mHealth trial for diabetes management among older veterans
M Dugas, K Crowley, GG Gao, T Xu, R Agarwal, AW Kruglanski, N SteinlePloS one 13 (3), e0192807, 2018201
53
2018
The role of individual and organizational expertise in the adoption of new practices
BN Greenwood, R Agarwal, R Agarwal, A GopalOrganization science 30 (1), 191-213, 2019201
52
2019
The when and why of abandonment: The role of organizational differences in medical technology life cycles
BN Greenwood, R Agarwal, R Agarwal, A GopalManagement Science 63 (9), 2948-2966, 2017201
46
2017
Is provider secure messaging associated with patient messaging behavior? Evidence from the US army
V Wolcott, R Agarwal, DA NelsonJournal of medical Internet research 19 (4), e6804, 2017201
32
2017
How digital word-of-mouth affects consumer decision making: evidence from doctor appointment booking
AD Shukla, G Gao, R AgarwalManagement Science 67 (3), 1546-1568, 2021202
30
2021
How service offerings and operational maturity influence the viability of health information exchanges
J Khuntia, S Mithas, R AgarwalProduction and Operations Management (11), 1989-2005, 2017201
26
2017
Unraveling the “social” in social norms: The conditioning effect of user connectivity
CW Liu, G Gao, R AgarwalInformation Systems Research 30 (4), 1272-1295, 2019201
22
2019
Electronic health record implementation findings at a large, suburban health and human services department
K Crowley, A Mishra, R Cruz-Cano, R Gold, D Kleinman, R AgarwalJournal of Public Health Management and Practice 25 (1), E11, 2019201
21
2019
The Public Health Information Technology Maturity Index: An Approach to Evaluating the Adoption and Use of Public Health Information Technology.
K Crowley, RS Gold, S Bandi, R AgarwalFrontiers in Public Health Services & Systems Research 5 (2), 2016201
17
2016
Power of mobile peer groups: a design-oriented approach to address youth unemployment
J Klier, M Klier, L Thiel, R AgarwalJournal of management information systems 36 (1), 158-193, 2019201
17
2019
Personal research, second opinions, and the diagnostic effort of experts
R Agarwal, CW Liu, K PrasadJournal of Economic Behavior & Organization 158, 44-61, 2019201
14
2019
Digital transformation: A path to economic and societal value
R AgarwalRevista CEA 6 (12), 2020202
13
2020
On the Intellectual Structure and Evolution of ISR
R AgarwalInformation systems research 27 (3), 471-477, 2016201
13
2016
Catch me if you can—detecting fraudulent online reviews of doctors using deep learning
A Shukla, W Wang, GG Gao, R AgarwalRitu, Catch Me If You Can—Detecting Fraudulent Online Reviews of Doctors …, 20120
9
2019

Referred From: https://scholar.google.com/citations?user=zPEQ6wgAAAAJ&hl=en

Cited by
Citations 48001
h-index 69
i10-index 149
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