F. J. Abad

Experimental and Cognitive Psychology · 2000–2013

A researcher in the Science corpus: 4 papers; trusts 16 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom F. J. Abad trusts overall

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

  1. Li-Jen Weng
  2. Brian O'Connor
  3. Alan Baddeley
  4. Akira Miyake
  5. R. Henson
  6. David B. Flora
  7. M. Kane
  8. Wayne F. Velicer
  9. P. Peres‐Neto
  10. James C. Hayton

Who trusts F. J. Abad overall

  1. Roberto Colom
  2. Adam Chuderski
  3. Elizabeth Litzler

Papers from F. J. Abad's perspective

Ordered by how strongly the researchers F. J. Abad trusts endorse each paper. Same corpus, a different order for every researcher.

  1. The unity and diversity of executive functions and their contributions to complex "Frontal Lobe" tasks: a latent variable analysis. (Cognitive Psychology)
  2. A latent variable analysis of working memory capacity, short-term memory capacity, processing speed, and general fluid intelligence
  3. The generality of working memory capacity: a latent-variable approach to verbal and visuospatial memory span and reasoning. (Journal of experimental psychology. General)
  4. Short- and long-term benefits of cognitive training (Proceedings of the National Academy of Sciences of the United States of America)
  5. Working memory and intelligence: the same or different constructs? (Psychological bulletin)
  6. Working memory span tasks: A methodological review and user’s guide (Psychonomic Bulletin & Review)
  7. SPSS and SAS programs for determining the number of components using parallel analysis and Velicer’s MAP test (Behavoir research methods, instruments & computers)
  8. The Relationship between N-Back Performance and Matrix Reasoning--Implications for Training and Transfer.
  9. CHC theory and the human cognitive abilities project: Standing on the shoulders of the giants of psychometric intelligence research
  10. Construct Explication through Factor or Component Analysis: A Review and Evaluation of Alternative Procedures for Determining the Number of Factors or Components

Their papers