Roni Rosenfeld

Roni Rosenfeld

Carnegie Mellon University

H-index: 53

North America-United States

About Roni Rosenfeld

Roni Rosenfeld, With an exceptional h-index of 53 and a recent h-index of 28 (since 2020), a distinguished researcher at Carnegie Mellon University, specializes in the field of Computer science, speech and language, technology for international development, computational biology, infectious diseases.

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

Outlier Ranking for Large-Scale Public Health Data

Outlier Ranking in Large-Scale Public Health Streams

Infectious disease surveillance needs for the United States: lessons from COVID-19

Correcting for heterogeneity in real-time epidemiological indicators

Large Scale Population-Level Outliers Detection in Public Health Data

Federated Epidemic Surveillance

Visualizing Public Health Data Streams for Data Classification

Computationally assisted quality control for public health data streams

Roni Rosenfeld Information

University

Position

Professor

Citations(all)

15161

Citations(since 2020)

3089

Cited By

14346

hIndex(all)

53

hIndex(since 2020)

28

i10Index(all)

121

i10Index(since 2020)

54

Email

University Profile Page

Carnegie Mellon University

Google Scholar

View Google Scholar Profile

Roni Rosenfeld Skills & Research Interests

Computer science

speech and language

technology for international development

computational biology

infectious diseases

Top articles of Roni Rosenfeld

Title

Journal

Author(s)

Publication Date

Outlier Ranking for Large-Scale Public Health Data

Proceedings of the AAAI Conference on Artificial Intelligence

Ananya Joshi

Tina Townes

Nolan Gormley

Luke Neureiter

Roni Rosenfeld

...

2024/3/24

Outlier Ranking in Large-Scale Public Health Streams

arXiv preprint arXiv:2401.01459

Ananya Joshi

Tina Townes

Nolan Gormley

Luke Neureiter

Roni Rosenfeld

...

2024/1/2

Infectious disease surveillance needs for the United States: lessons from COVID-19

arXiv preprint arXiv:2311.13724

Marc Lipsitch

Mary T Bassett

John S Brownstein

Paul Elliott

David Eyre

...

2023/11/22

Correcting for heterogeneity in real-time epidemiological indicators

arXiv preprint arXiv:2309.16546

Aaron Rumack

Roni Rosenfeld

F William Townes

2023/9/28

Large Scale Population-Level Outliers Detection in Public Health Data

Ananya Joshi

Bryan Wilder

Roni Rosenfeld

2023/7/27

Federated Epidemic Surveillance

arXiv preprint arXiv:2307.02616

Ruiqi Lyu

Bryan Wilder

Roni Rosenfeld

2023/7/5

Visualizing Public Health Data Streams for Data Classification

Ananya Joshi

Nolan Gormley

Richa Gadgil

Catalina Vajiac

Roni Rosenfeld

...

2023/12/15

Computationally assisted quality control for public health data streams

arXiv preprint arXiv:2306.16914

Ananya Joshi

Kathryn Mazaitis

Roni Rosenfeld

Bryan Wilder

2023/6/29

Evaluation of FluSight influenza forecasting in the 2021–22 and 2022–23 seasons with a new target laboratory-confirmed influenza hospitalizations

medRxiv

Sarabeth M Mathis

Alexander E Webber

Avranil Basu

John M Drake

Lauren A White

...

2023

Recalibrating probabilistic forecasts of epidemics

PLOS Computational Biology

Aaron Rumack

Ryan J Tibshirani

Roni Rosenfeld

2022/12/15

Collaborative hubs: making the most of predictive epidemic modeling

Nicholas G Reich

Justin Lessler

Sebastian Funk

Cecile Viboud

Alessandro Vespignani

...

2022/6

Beyond Cases and Deaths: The Benefits of Auxiliary Data Streams In Tracking the COVID-19 Pandemic: An open repository of real-time COVID-19 indicators

Proceedings of the National Academy of Sciences of the United States of America

Christina M Astley

Gaurav Tuli

Kimberly A Mc Cord

Emily L Cohn

Benjamin Rader

...

2021/12/12

From the cover: beyond cases and deaths: the benefits of auxiliary data streams in tracking the COVID-19 pandemic: epidemic tracking and forecasting: lessons learned from a …

Proceedings of the National Academy of Sciences of the United States of America

Roni Rosenfeld

Ryan J Tibshirani

2021/12/12

Epidemic tracking and forecasting: Lessons learned from a tumultuous year

Proceedings of the National Academy of Sciences

Roni Rosenfeld

Ryan J Tibshirani

2021/12/21

The US COVID-19 Trends and Impact Survey: Continuous real-time measurement of COVID-19 symptoms, risks, protective behaviors, testing, and vaccination

Proceedings of the National Academy of Sciences

Joshua A Salomon

Alex Reinhart

Alyssa Bilinski

Eu Jing Chua

Wichada La Motte-Kerr

...

2021/12/21

An open repository of real-time COVID-19 indicators

Proceedings of the National Academy of Sciences

Alex Reinhart

Logan Brooks

Maria Jahja

Aaron Rumack

Jingjing Tang

...

2021/12/21

See List of Professors in Roni Rosenfeld University(Carnegie Mellon University)