🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

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Jon Wakefield

Jon Wakefield

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 7%percentile

0.104Author DataRank

Indexed papers

2in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Why this DataRank?

An author's DataRank is the sum of the DataRanks of all 2 indexed papers attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.

Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.

Read the full methodology →

Top data-sharing exemplar

The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.

Child mortality estimation incorporating summary birth history data

Biometrics(2020)10.1111/biom.13383

Top 78%

0.104DataRank

Top 78%1 citations

Jon Wakefield, Katie Wilson

Papers

Driven by 17 papers — median percentile 11. Top paper: “Combining information to estimate adherence in studies of pre‐exposure prophylaxis for HIV prevention: Application to HPTN 067”.

Combining information to estimate adherence in studies of pre‐exposure prophylaxis for HIV prevention: Application to HPTN 067

Statistics in Medicine(2022)10.1002/sim.9321

N/A

0.183DataRank · unranked

2 citations

Brian D. Williamson, Chloe Krakauer, Gordon Chau, B Gutierrez Ortiz, Jon Wakefield +6 more

Child mortality estimation incorporating summary birth history data

Biometrics(2020)10.1111/biom.13383

Top 78%

0.104DataRank

Top 78%1 citations

Jon Wakefield, Katie Wilson

Space‐time modeling of child mortality at the Admin‐2 level in a low and middle income countries context

Statistics in Medicine(2021)10.1002/sim.8854

N/A

0DataRank · unranked

6 citations

Jon Wakefield, Jessica Godwin

Estimation of health and demographic indicators with incomplete geographic information

Spatial and Spatio-temporal Epidemiology(2021)10.1016/j.sste.2021.100421

N/A

0DataRank · unranked

2 citations

Jon Wakefield, Katie Wilson

Harmonizing child mortality data at disparate geographic levels

Statistical Methods in Medical Research(2021)10.1177/0962280220988742

Top 100%

0DataRank

Top 100%0 citations

Jon Wakefield, Neal Marquez

Spatial aggregation with respect to a population distribution: Impact on inference

Spatial Statistics(2022)10.1016/j.spasta.2022.100714

N/A

0DataRank · unranked

14 citations

Geir‐Arne Fuglstad, Andrea Riebler, Jon Wakefield, John Paige

Estimating the stillbirth rate for 195 countries using a Bayesian sparse regression model with temporal smoothing

The Annals of Applied Statistics(2022)10.1214/21-aoas1571

N/A

0DataRank · unranked

12 citations

Miranda J. Fix, Lucia Hug, Anu Mishra, Danzhen You, Hannah Blencowe +3 more

A flexible Bayesian framework to estimate age- and cause-specific child mortality over time from sample registration data

The Annals of Applied Statistics(2022)10.1214/21-aoas1489

N/A

0DataRank · unranked

5 citations

Tyler H. McCormick, Jon Wakefield, Yue Chu, Jamie Perin, Francisco Villavicencio +3 more

Early effects of COVID-19 on maternal and child health service disruption in Mozambique

Frontiers in Public Health(2023)10.3389/fpubh.2023.1075691

N/A

0DataRank · unranked

7 citations

Timothy Roberton, Quinhas Fernandes, Sérgio Chicumbe, Ivan Manhiça, Stélio Tembe +5 more

Incorporating testing volume into estimation of effective reproduction number dynamics

Journal of the Royal Statistical Society Series A (Statistics in Society)(2023)10.1093/jrsssa/qnad128

N/A

0DataRank · unranked

5 citations

Jon Wakefield, Vladimir N. Minin, Isaac Goldstein

Direct-Assisted Bayesian Unit-level Modeling for Small Area Estimation of Rare Event Prevalence

PubMed(2024)10.48550/arxiv.2408.16129

N/A

0DataRank · unranked

0 citations

Katherine Wilson, Jon Wakefield, Alana McGovern

BARTSIMP: Flexible spatial covariate modeling and prediction using Bayesian Additive Regression Trees

Spatial and Spatio-temporal Epidemiology(2025)10.1016/j.sste.2025.100757

N/A

0DataRank · unranked

2 citations

Jon Wakefield, Alex Ziyu Jiang

Small Area Estimation of Education Levels in Low- and Middle-Income Countries

PubMed(2025)10.48550/arxiv.2502.07946

N/A

0DataRank · unranked

0 citations

Ameer Dharamshi, Jon Wakefield, Yunhan Wu

Toward a Principled Workflow for Prevalence Mapping Using Household Survey Data

PubMed(2025)10.48550/arxiv.2504.16435

N/A

0DataRank · unranked

0 citations

Yunhan Wu, Zehang Li, Jon Wakefield, Qianyu Dong

Trends in Sociodemographic Disparities in Colorectal Cancer Staging and Survival: A SEER–Medicare Analysis

Clinical and Translational Gastroenterology(2020)10.14309/ctg.0000000000000155

N/A

0DataRank · unranked

18 citations

Jonathan D. Mayer, Jon Wakefield, Chau Trinh‐Shevrin, Simona C. Kwon, Scott E. Sherman +2 more

Toward a Principled Workflow for Prevalence Mapping Using Household Survey Data

Journal of Survey Statistics and Methodology(2025)10.1093/jssam/smaf048

N/A

0DataRank · unranked

0 citations

Yunhan Wu, Z. Li, Jon Wakefield, Qianyu Dong

Design- and Model-Based Approaches to Small-Area Estimation in a Low- and Middle-Income Country Context: Comparisons and Recommendations

Journal of Survey Statistics and Methodology(2020)10.1093/jssam/smaa011

N/A

0DataRank · unranked

1 citations

Geir‐Arne Fuglstad, Andrea Riebler, Jon Wakefield, John Paige