Emma Pierson | Academic Influence

Emma Pierson 's AcademicInfluence.com Rankings

Emma Pierson

Computer Science

#3652

World Rank

#3837

Historical Rank

Data Science

#342

World Rank

#351

Historical Rank

Machine Learning

#5689

World Rank

#5768

Historical Rank

Database

#9469

World Rank

#9979

Historical Rank

computer-science Degrees

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Computer Science

Emma Pierson 's Degrees

PhD Computer Science Stanford University

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Best Online PhD of Computer Science (Doctorates) 2025

Why Is Emma Pierson Influential?

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According to Wikipedia, Emma Pierson is an American computer scientist who specializes in artificial intelligence. She graduated from Thomas Jefferson High School for Science and Technology. She earned a degree in physics and then a master's in computer science from Stanford University, where she studied cognitive psychology and biocomputation. She received a PhD in 2020 at Stanford under Jure Leskovec. She was awarded a Rhodes Scholarship for her work in using computers to solve biological problems, and specifically to work on cancer treatments.

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Emma Pierson 's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Mobility network models of COVID-19 explain inequities and inform reopening (2020) (935)
Algorithmic Decision Making and the Cost of Fairness (2017) (913)
WILDS: A Benchmark of in-the-Wild Distribution Shifts (2020) (559)
ZIFA: Dimensionality reduction for zero-inflated single-cell gene expression analysis (2015) (489)
Visualization and analysis of single-cell RNA-seq data by kernel-based similarity learning (2016) (462)
Concept Bottleneck Models (2020) (245)
A large-scale analysis of racial disparities in police stops across the United States (2017) (221)
Sharing and Specificity of Co-expression Networks across 35 Human Tissues (2014) (146)
Ethical Machine Learning in Health Care (2020) (140)
An algorithmic approach to reducing unexplained pain disparities in underserved populations (2021) (100)
SIMLR: a tool for large-scale single-cell analysis by multi-kernel learning (2017) (66)
Higher Absolute Lymphocyte Counts Predict Lower Mortality from Early-Stage Triple-Negative Breast Cancer (2018) (58)
Denoising genome-wide histone ChIP-seq with convolutional neural networks (2016) (56)
Fast Threshold Tests for Detecting Discrimination (2017) (37)
Outnumbered but Well-Spoken: Female Commenters in the New York Times (2015) (35)
ZIFA: Dimensionality reduction for zero-inflated single-cell gene expression analysis (2015) (32)
Modeling Individual Cyclic Variation in Human Behavior (2017) (31)
Mobility network modeling explains higher SARS-CoV-2 infection rates among disadvantaged groups and informs reopening strategies (2020) (25)
Supporting COVID-19 Policy Response with Large-scale Mobility-based Modeling (2021) (25)
Demographics and discussion influence views on algorithmic fairness (2017) (24)
Predicting pregnancy using large-scale data from a women's health tracking mobile application (2018) (21)
Daily, weekly, seasonal and menstrual cycles in women’s mood, behaviour and vital signs (2021) (15)
Inferring Multidimensional Rates of Aging from Cross-Sectional Data (2018) (13)
Ethical Machine Learning in Health (2020) (13)
Gender differences in beliefs about algorithmic fairness (2017) (11)
Uncertainty and Denial: A Resource-Rational Model of the Value of Information (2014) (7)
Gender Differences in Patient Perceptions of Physicians' Communal Traits and the Impact on Physician Evaluations. (2020) (7)
The menstrual cycle is a primary contributor to cyclic variation in women’s mood, behavior, and vital signs (2019) (5)
Inferring Multi-Dimensional Rates of Aging from Cross-Sectional Data (2018) (4)
Higher peripheral lymphocyte count to predict survival in triple-negative breast cancer (TNBC). (2016) (3)
Controlling healthcare-associated transmission of SARS-CoV-2 variant of concern 202012/01 in a large hospital network (2021) (3)
Assessing racial inequality in COVID-19 testing with Bayesian threshold tests. (2020) (2)
Mobility network models of COVID-19 explain inequities and inform reopening (2020) (2)
Human interaction networks reveal that large cities facilitate segregation (2022) (1)
Race Corrections in Clinical Models: Examining Family History and Cancer Risk (2023) (1)
Quantifying Inequality in Underreported Medical Conditions (2021) (1)
Statistical Models for Single-Cell Data (2015) (1)
How do Authors' Perceptions of their Papers Compare with Co-authors' Perceptions and Peer-review Decisions? (2022) (1)
Factors Affecting Air Traffic Controller’s Weather Dissemination to Pilots (2019) (0)
Feature Set Evaluation and Robust Neural Networks Using Boundary Methods (2007) (0)
Design of Air Traffic Control Weather Related Training Program (2019) (0)
3:09 PM Abstract No. 73 Evaluating the impact of communal traits and gender-based perceptions on Press-Ganey scores (2020) (0)
An algorithmic approach to reducing unexplained pain disparities in underserved populations (2021) (0)
Zipping Towards STEM: Simulation Wind Tunnel (2016) (0)
Trucks Don’t Mean Trump: Diagnosing Human Error in Image Analysis (2022) (0)

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What Schools Are Affiliated With Emma Pierson ?

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