Hazhir Rahmandad

Hazhir Rahmandad

Massachusetts Institute of Technology

H-index: 32

North America-United States

About Hazhir Rahmandad

Hazhir Rahmandad, With an exceptional h-index of 32 and a recent h-index of 27 (since 2020), a distinguished researcher at Massachusetts Institute of Technology, specializes in the field of Strategy, System Dynamics, Organizational Dynamics, Health modeling.

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

How Does Network Structure Impact Socially Reinforced Diffusion?

How Do Employer Practices Affect Economic Mobility?

Why Similar Policies Resulted In Different COVID-19 Outcomes: How Responsiveness And Culture Influenced Mortality Rates: Study examines why similar policies resulted in …

Delays impair learning and can drive convergence to inefficient strategies

Call for submissions to the 2024 ISDC

Enhancing long-term forecasting: Learning from COVID-19 models

A missing behavioural feedback in COVID-19 models is the key to several puzzles

Quantifying the COVID‐19 endgame: Is a new normal within reach?

Hazhir Rahmandad Information

University

Position

Associate Professor of System Dynamics, MIT Sloan School of Management

Citations(all)

4382

Citations(since 2020)

2461

Cited By

2851

hIndex(all)

32

hIndex(since 2020)

27

i10Index(all)

49

i10Index(since 2020)

44

Email

University Profile Page

Massachusetts Institute of Technology

Google Scholar

View Google Scholar Profile

Hazhir Rahmandad Skills & Research Interests

Strategy

System Dynamics

Organizational Dynamics

Health modeling

Top articles of Hazhir Rahmandad

Title

Journal

Author(s)

Publication Date

How Does Network Structure Impact Socially Reinforced Diffusion?

Organization Science

Jad Georges Sassine

Hazhir Rahmandad

2024/1

How Do Employer Practices Affect Economic Mobility?

ILR Review

Erin L Kelly

Hazhir Rahmandad

Nathan Wilmers

Aishwarya Yadama

2023/10

Why Similar Policies Resulted In Different COVID-19 Outcomes: How Responsiveness And Culture Influenced Mortality Rates: Study examines why similar policies resulted in …

Health Affairs

Tse Yang Lim

Ran Xu

Nick Ruktanonchai

Omar Saucedo

Lauren M Childs

...

2023/12/1

Delays impair learning and can drive convergence to inefficient strategies

Organization Science

Hazhir Rahmandad

Michael Shayne Gary

2023/11

Call for submissions to the 2024 ISDC

Hazhir Rahmandad

Mohammad S Jalali

Susan Howick

2023/10/1

Enhancing long-term forecasting: Learning from COVID-19 models

PLoS computational biology

Hazhir Rahmandad

Ran Xu

Navid Ghaffarzadegan

2022/5/19

A missing behavioural feedback in COVID-19 models is the key to several puzzles

BMJ global health

Hazhir Rahmandad

Ran Xu

Navid Ghaffarzadegan

2022/10/1

Quantifying the COVID‐19 endgame: Is a new normal within reach?

System dynamics review

Hazhir Rahmandad

John Sterman

2022/10

Improving parameter estimation of epidemic models: Likelihood functions and kalman filtering

Available at SSRN 4165188

Tianyi Li

Hazhir Rahmandad

John Sterman

2022/7/18

Behavioral responses to risk promote vaccinating high‐contact individuals first

System Dynamics Review

Hazhir Rahmandad

2022/7

Weather, air pollution, and SARS-CoV-2 transmission: a global analysis

The Lancet Planetary Health

Ran Xu

Hazhir Rahmandad

Marichi Gupta

Catherine DiGennaro

Navid Ghaffarzadegan

...

2021/10/1

What makes dynamic strategic problems difficult? Evidence from an experimental study

Strategic Management Journal

Hazhir Rahmandad

Jerker Denrell

Drazen Prelec

2021/5

Evolution and reproducibility of simulation modeling in epidemiology and health policy over half a century

Mohammad S Jalali

Catherine DiGennaro

Abby Guitar

Karen Lew

Hazhir Rahmandad

2021

Behavioral dynamics of COVID‐19: estimating underreporting, multiple waves, and adherence fatigue across 92 nations

System dynamics review

Hazhir Rahmandad

Tse Yang Lim

John Sterman

2021/1

Responsiveness to risk explains large variation in COVID-19 mortality across countries

medRxiv

Tse Yang Lim

Hazhir Rahmandad

2020/12/14

Simulation‐based estimation of the early spread of COVID‐19 in Iran: actual versus confirmed cases

System Dynamics Review

Navid Ghaffarzadegan

Hazhir Rahmandad

2020/1

The effect of unstable schedules on unit and employee productivity

Mahdi Hashemian

Zeynep Ton

Hazhir Rahmandad

2020/4/10

If Higher Pay Is Profitable, Why Is It So Rare? Modeling Competing Strategies in Mass Market Services

Organization Science

Hazhir Rahmandad

Zeynep Ton

2020/2/13

Estimating the global spread of COVID-19 (preprint)

Hazhir Rahmandad

Tse Yang Lim

John Sterman

2020

Simulation-based Estimation of the Spread of COVID-19 in Iran (preprint)

Navid Ghaffarzadegan

Hazhir Rahmandad

2020

See List of Professors in Hazhir Rahmandad University(Massachusetts Institute of Technology)

Co-Authors

H-index: 78
John Sterman

John Sterman

Massachusetts Institute of Technology

H-index: 74
Thomas A. Glass

Thomas A. Glass

Johns Hopkins University

H-index: 51
Rebecca Henderson

Rebecca Henderson

Harvard University

H-index: 47
A K S Jardine

A K S Jardine

University of Toronto

H-index: 31
Konstantinos Triantis

Konstantinos Triantis

Virginia Polytechnic Institute and State University

H-index: 31
Nathaniel Osgood

Nathaniel Osgood

University of Saskatchewan

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