H. N. Abduljabbar

Applied Nanoscience · 2021

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Whom H. N. Abduljabbar trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. David Ruppert
  2. Radford M. Neal
  3. Akib Mohi Ud Din Khanday

Who trusts H. N. Abduljabbar overall

  1. Meghavi Rana

Papers from H. N. Abduljabbar's perspective

Ordered by how strongly the researchers H. N. Abduljabbar trusts endorse each paper. Same corpus, a different order for every researcher.

  1. A new coronavirus associated with human respiratory disease in China (Nature)
  2. Pattern Recognition and Machine Learning
  3. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
  4. Machine learning based approaches for detecting COVID-19 using clinical text data (International journal of information technology)
  5. Sampling-Based Approaches to Calculating Marginal Densities
  6. Stochastic gradient boosting
  7. Ideal spatial adaptation by wavelet shrinkage
  8. Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study (The Lancet)
  9. Controlling the false discovery rate: a practical and powerful approach to multiple testing
  10. Estimating the Dimension of a Model

Their papers