D-Index & Metrics

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Chemistry D-index 53 Citations 10,049 287 World Ranking 9360 National Ranking 223

Overview

What is he best known for?

The fields of study D. Brynn Hibbert is best known for:

  • Ion
  • Oxygen
  • Hydrogen

D. Brynn Hibbert works mostly in the field of Microcrystalline, limiting it down to topics relating to Crystallography and, in certain cases, Microstructure. His work in Composite material is not limited to one particular discipline; it also encompasses Range (aeronautics), Microstructure and Scanning electron microscope. His work on Composite material expands to the thematically related Range (aeronautics). His Enzyme study focuses on Glucose oxidase and Immobilized enzyme. His work often combines Glucose oxidase and Biochemistry studies. As part of his studies on Biochemistry, D. Brynn Hibbert often connects relevant areas like Immobilized enzyme. His Optics study frequently draws connections to other fields, such as Anisotropy, Scanning electron microscope and Micrometer. He connects Anisotropy with Optics in his study. He performs integrative study on Organic chemistry and Nuclear magnetic resonance spectroscopy.

His most cited work include:

  • Interfacial Velocity in Electrochemical Deposition and the Hecker Transition (111 citations)
  • A Mechanistic Study of Oxygen Evolution on NiCo2 O 4 : I . Formation of Higher Oxides (94 citations)
  • Electrodeposited polytyramine as an immobilisation matrix for enzyme biosensors (93 citations)

What are the main themes of his work throughout his whole career to date

Many of his studies on Chromatography apply to Analytical Chemistry (journal), Detection limit and Ion chromatography as well. He combines Analytical Chemistry (journal) and Electrochemistry in his research. D. Brynn Hibbert incorporates Electrochemistry and Amperometry in his studies. He frequently studies issues relating to Chromatography and Detection limit. His Physical chemistry study frequently involves adjacent topics like Potentiometric titration. His research on Potentiometric titration often connects related topics like Electrode. With his scientific publications, his incorporates both Electrode and Amperometry. D. Brynn Hibbert carries out multidisciplinary research, doing studies in Organic chemistry and Catalysis. His Pattern recognition (psychology) research extends to the thematically linked field of Artificial intelligence.

D. Brynn Hibbert most often published in these fields:

  • Physical chemistry (45.95%)
  • Organic chemistry (43.24%)
  • Chromatography (40.54%)

What were the highlights of his more recent work (between 2004-2009)?

  • Artificial intelligence (100.00%)
  • Bayesian probability (66.67%)
  • Data science (66.67%)

In recent works D. Brynn Hibbert was focusing on the following fields of study:

D. Brynn Hibbert is involved in relevant fields of research such as Sensory system and Pattern recognition (psychology) in the field of Cognitive psychology. His Pattern recognition (psychology) study frequently draws connections to other fields, such as Cognitive psychology. His research on Artificial intelligence frequently connects to adjacent areas such as Bayesian probability. He combines Data science and Artificial intelligence in his research. His Partial least squares regression study typically links adjacent topics like Statistics. He performs integrative study on Statistics and Sensory analysis. In his research, D. Brynn Hibbert performs multidisciplinary study on Artificial neural network and Multidimensional scaling. He undertakes interdisciplinary study in the fields of Principal component analysis and Procrustes analysis through his works. Multivariate statistics and Principal component analysis are two areas of study in which he engages in interdisciplinary research.

Between 2004 and 2009, his most popular works were:

  • An introduction to Bayesian methods for analyzing chemistry data (49 citations)
  • An introduction to Bayesian methods for analyzing chemistry data (42 citations)
  • Chemometric Analysis of Sensory Data (5 citations)

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