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

Jonathan Wakefield

University of Washington

ORCID: 0000-0002-9300-8049

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 6%percentile
0.268Author DataRank

Indexed papers

1in 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 1 indexed paper 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.

A Bayesian hierarchical small area population model accounting for data source specific methodologies from American Community Survey, Population Estimates Program, and Decennial census data

The Annals of Applied Statistics(2024)10.1214/23-aoas1849
Top 58%
0.268DataRank
Top 58%4 citations

Rachel C. Nethery, Tullia Padellini, Jarvis T. Chen, Brent A. Coull, Frédéric B Piel +4 more

Papers

Driven by 7 papers — median percentile 42. Top paper: “A Bayesian hierarchical small area population model accounting for data source specific methodologies from American Community Survey, Population Estimates Program, and Decennial census data”.

A Bayesian hierarchical small area population model accounting for data source specific methodologies from American Community Survey, Population Estimates Program, and Decennial census data

The Annals of Applied Statistics(2024)10.1214/23-aoas1849
Top 58%
0.268DataRank
Top 58%4 citations

Rachel C. Nethery, Tullia Padellini, Jarvis T. Chen, Brent A. Coull, Frédéric B Piel +4 more

Bayesian multiresolution modeling of georeferenced data: An extension of ‘LatticeKrig’

Computational Statistics & Data Analysis(2022)10.1016/j.csda.2022.107503
N/A
0DataRank · unranked
4 citations

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

Does a One Health Approach to Human African Trypanosomiasis Control Hasten Elimination? A Stochastic Compartmental Modeling Approach

Research Square(2022)10.21203/rs.3.rs-1239807/v1
N/A
0DataRank · unranked
1 citations

Agapitus Kato, Marshall Lemerani, Erick Mwamba Miaka, Acaga Ismail Taban, Jonathan Wakefield +6 more

The effect of livestock density on Trypanosoma brucei gambiense and T. b. rhodesiense: A causal inference-based approach

PLoS neglected tropical diseases(2022)10.1371/journal.pntd.0010155
N/A
0DataRank · unranked
9 citations

Agapitus Kato, Marshal Msanyama Lemerani, Erick Mwamba Miaka, Acaga Ismail Taban, Jonathan Wakefield +5 more

Smoothed model‐assisted small area estimation of proportions

Canadian Journal of Statistics(2023)10.1002/cjs.11787
N/A
0DataRank · unranked
10 citations

Jonathan Wakefield, Peter A. Gao

A Spatial Variance‐Smoothing Area Level Model for Small Area Estimation of Demographic Rates

International Statistical Review(2023)10.1111/insr.12556
N/A
0DataRank · unranked
5 citations

Jonathan Wakefield, Peter A. Gao

Association between pertussis vaccination coverage and other sociodemographic factors and pertussis incidence using surveillance data

Epidemics(2023)10.1016/j.epidem.2023.100689
N/A
0DataRank · unranked
9 citations

Jonathan Wakefield, Pejman Rohani, M. Elizabeth Halloran, Madhura S. Rane