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Company · Bellevue · United States

Data Numerica Institute (United States)

datanumerica.comROR OpenAlex
Research works
1
▼ 100% vs 2018-21
Citations
45
35.2 per fractional work
Top-10% rate
2.3%
all institutions 10.0%
Open access
58%
world 40%
International
16%
world 18%
Data Numerica Institute (United States)

Not ranked overall: Data Numerica Institute (United States) is under the volume floor below which a citation excellence rate is noise. Not ranked is not the same as ranked last.

Which fields of science does Data Numerica Institute (United States) work in?

In all years, 75% of research at Data Numerica Institute (United States) is in Physical Sciences, 25% in Life Sciences. Its largest fields are Mathematics (58%), Biochemistry, Genetics and Molecular Biology (17%), Computer Science (17%).

Physical Sciences: 1 fractional works · 75.0% of its workMathematics: 1 fractional works · 58.3% of its workComputer Science: 0 fractional works · 16.7% of its workLife Sciences: 0 fractional works · 25.0% of its workBiochemistry, Genetics and Molecular Biology: 0 fractional works · 16.7% of its workNeuroscience: 0 fractional works · 8.3% of its workALL ITS WORKData NumericaInstitute (Unite…1fractional works, all years
Life Sciences25%Physical Sciences75%

Each ring splits the one inside it: the four domains of science, their fields. Size is fractional works in all years. Every slice is a page; the interactive view zooms down to single topics and colours each by how much more of it this institution does than the world.

Its 2 domains and 4 fields, with their numbers
    1. Mathematics158.3%
    2. Computer Science016.7%
    1. Biochemistry, Genetics and Molecular Biology016.7%
    2. Neuroscience08.3%
All of science, and how each field's share has moved since 1950: the Science domain explorer

What are the most cited papers from Data Numerica Institute (United States)?

The most cited paper from Data Numerica Institute (United States) is "Expected Estimating Equations for Missing Data, Measurement Error, and Misclassification, with Application to Longitudinal Nonignorable Missing Data" (C. Y. Wang, Yijian Huang, Edward C. T. Chao et al., 2007), with 43 citations. Next come "Simulation Extrapolation Method for Cox Regression Model with a Mixture of Berkson and Classical Errors in the Covariates using Calibration Data" (5) and "A smoothed corrected score approach for proportional hazards model with misclassified discretized covariates induced by error‐contaminated continuous time‐dependent exposure" (0).

Most cited papers
#PaperReleasedCitations
1 Expected Estimating Equations for Missing Data, Measurement Error, and Misclassification, with Application to Longitudinal Nonignorable Missing Data C. Y. Wang, Yijian Huang, Edward C. T. Chao et al. · Biometrics 30 Jun 2007 43
2 Simulation Extrapolation Method for Cox Regression Model with a Mixture of Berkson and Classical Errors in the Covariates using Calibration Data Jean de Dieu Tapsoba, Edward C. T. Chao, Ching‐Yun Wang · The International Journal of Biostatistics Open access 6 Apr 2019 5
3 A smoothed corrected score approach for proportional hazards model with misclassified discretized covariates induced by error‐contaminated continuous time‐dependent exposure Xiao Song, Edward C. T. Chao, Ching‐Yun Wang · Biometrics Open access 25 Oct 2021 0
All 3 most cited papers, with filters and sorting

Which research topics does Data Numerica Institute (United States) publish most on?

By volume: Statistical Methods and Inference, Bayesian Methods and Mixture Models, Statistical Methods and Bayesian Inference and Statistical Methods in Clinical Trials.

Statistical Methods and …0Statistical Methods and Inference: 0 fractional worksBayesian Methods and Mixture Models: 0 fractional worksStatistical Methods and Bayesian Inference: 0 fractional worksStatistical Methods in C…0Statistical Methods in Clinical Trials: 0 fractional worksNeuropeptides and Animal…0Neuropeptides and Animal Physiology: 0 fractional worksReceptor Mechanisms and Signaling: 0 fractional worksChemical Synthesis and Analysis: 0 fractional worksAdvanced Causal Inferenc…0Advanced Causal Inference Techniques: 0 fractional works
Statistics and ProbabilityArtificial IntelligenceCellular and Molecular NeuroscienceMolecular Biology

Area is fractional works; colour is the subfield each topic belongs to.

  1. 1 Statistical Methods and Inference Statistics and Probability 0 works
  2. 2 Bayesian Methods and Mixture Models Artificial Intelligence 0 works
  3. 3 Statistical Methods and Bayesian Inference Statistics and Probability 0 works
  4. 4 Statistical Methods in Clinical Trials Statistics and Probability 0 works
  5. 5 Neuropeptides and Animal Physiology Cellular and Molecular Neuroscience 0 works
  6. 6 Receptor Mechanisms and Signaling Molecular Biology 0 works
  7. 7 Chemical Synthesis and Analysis Molecular Biology 0 works
  8. 8 Advanced Causal Inference Techniques Statistics and Probability 0 works

How open and international is its research?

Against the world's own shares: the tick on each track. Both are shares of its output, so they sit on one scale and can be read against each other as well as against the world.

openly available58.4%not open41.6%

World: 40% of research is openly available.

with international co-authors15.6%domestic only84.4%

World: 18% is written across borders.

How has Data Numerica Institute (United States)'s research output changed?

Output in 2022-2025 was 100% lower than in 2018-2021.

199520002005201020152020

Other research institutions in Bellevue

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Research measures only: rankings here say nothing about teaching, admissions or student experience. Comparable institutions and collaboration partners have tabs of their own, above.

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