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Neil Rens

Neil Rens

Stanford University

H-index: 4

North America-United States

Contact Neil Rens

About Neil Rens

Neil Rens, With an exceptional h-index of 4 and a recent h-index of 4 (since 2020), a distinguished researcher at Stanford University, specializes in the field of cost-effectiveness, digital health, mechanical circulatory support.

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

Using a Supervised Learning Algorithm to Predict Postoperative Treatment Failure in Patients with Cardiovascular Disease via Passive Monitoring

12-Month Follow-up Results of a “Distributed Patient Registry”—Automated Direct Smartphone Connection to a Registry

Activity data from wearables as an indicator of functional capacity in patients with cardiovascular disease

Reliability and repeatability of a smartphone-based 6-min walk test as a patient-centred outcome measure

Stanford-CIDE Coronavirus Simulation Model (SC-COSMO)–Technical Description Document, Version 2.0

A Distributed Registry: Smartphone-Connected Database Driven by Patient-Reported Outcomes

National assessment of availability, awareness, and utilization of supervised exercise therapy for peripheral artery disease patients with intermittent claudication

Suit designs and doffing methodologies for personal protective equipment to prevent the spread of infectious agents to healthcare workers

Neil Rens Information

University

Position

MD/MBA Student

Citations(all)

120

Citations(since 2020)

119

Cited By

22

hIndex(all)

4

hIndex(since 2020)

4

i10Index(all)

3

i10Index(since 2020)

3

Email

University Profile Page

Google Scholar

Neil Rens Skills & Research Interests

cost-effectiveness

digital health

mechanical circulatory support

Top articles of Neil Rens

Using a Supervised Learning Algorithm to Predict Postoperative Treatment Failure in Patients with Cardiovascular Disease via Passive Monitoring

Journal of Vascular Surgery

2022/6/1

Neil Rens
Neil Rens

H-Index: 3

12-Month Follow-up Results of a “Distributed Patient Registry”—Automated Direct Smartphone Connection to a Registry

Journal of Vascular Surgery

2021/9/1

Neil Rens
Neil Rens

H-Index: 3

Activity data from wearables as an indicator of functional capacity in patients with cardiovascular disease

Plos one

2021/3/24

Neil Rens
Neil Rens

H-Index: 3

Dasha Savage
Dasha Savage

H-Index: 4

Reliability and repeatability of a smartphone-based 6-min walk test as a patient-centred outcome measure

European Heart Journal-Digital Health

2021/3/1

Neil Rens
Neil Rens

H-Index: 3

Dasha Savage
Dasha Savage

H-Index: 4

Stanford-CIDE Coronavirus Simulation Model (SC-COSMO)–Technical Description Document, Version 2.0

2020/11/6

Jeremy Goldhaber-Fiebert
Jeremy Goldhaber-Fiebert

H-Index: 34

Radhika Jain
Radhika Jain

H-Index: 2

Neil Rens
Neil Rens

H-Index: 3

A Distributed Registry: Smartphone-Connected Database Driven by Patient-Reported Outcomes

Journal of Vascular Surgery

2020/7/1

Neil Rens
Neil Rens

H-Index: 3

National assessment of availability, awareness, and utilization of supervised exercise therapy for peripheral artery disease patients with intermittent claudication

Journal of vascular surgery

2020/5/1

Anahita Dua
Anahita Dua

H-Index: 20

Dasha Savage
Dasha Savage

H-Index: 4

Neil Rens
Neil Rens

H-Index: 3

Matthew Corriere
Matthew Corriere

H-Index: 24

Elizabeth Jackson
Elizabeth Jackson

H-Index: 7

Suit designs and doffing methodologies for personal protective equipment to prevent the spread of infectious agents to healthcare workers

2020/1/7

Cost-effectiveness of a pharmacogenomic test for stratified isoniazid dosing in treatment of active tuberculosis

Clinical Infectious Diseases

2020/12/15

See List of Professors in Neil Rens University(Stanford University)