What is he best known for?
The fields of study he is best known for:
- Quantum mechanics
- Geometry
- Algebra
Crystallography, Software, Python, Automation and Software engineering are his primary areas of study.
His Crystallography study combines topics in areas such as Algorithm, Phaser, Model building and Rotation.
His Phaser research integrates issues from Maximum likelihood, Translation and Source code.
Ralf W. Grosse-Kunstleve has included themes like Fast Fourier transform and Molecular replacement in his Software study.
His research in Python intersects with topics in Object-oriented programming and Structure.
His biological study spans a wide range of topics, including Field, Software design and Graphics.
His most cited work include:
- Phaser crystallographic software (13810 citations)
- PHENIX: a comprehensive Python-based system for macromolecular structure solution (9579 citations)
- Phenix - a comprehensive python-based system for macromolecular structure solution (5901 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Crystallography, Software, Algorithm, Python and Structure.
His study in the fields of Molecular replacement under the domain of Crystallography overlaps with other disciplines such as Photosystem II.
His Software study which covers Graphics that intersects with Software design.
His Algorithm research is multidisciplinary, incorporating elements of Structure, Model building and Scaling.
Python is the subject of his research, which falls under Programming language.
In his study, Rotational symmetry is inextricably linked to Group, which falls within the broad field of Space group.
He most often published in these fields:
- Crystallography (41.03%)
- Software (23.08%)
- Algorithm (21.79%)
What were the highlights of his more recent work (between 2011-2018)?
- Crystallography (41.03%)
- X-ray crystallography (8.97%)
- Software (23.08%)
In recent papers he was focusing on the following fields of study:
Ralf W. Grosse-Kunstleve focuses on Crystallography, X-ray crystallography, Software, Photosystem II and Femtosecond.
His Crystallography research spans across into fields like Automation and Thermolysin.
His Automation research overlaps with other disciplines such as Software engineering and Computational science.
His work deals with themes such as Python, Graphical user interface, Structure and Graphics, which intersect with Software.
The concepts of his Python study are interwoven with issues in Detector, Scripting language and Spectrum analyzer.
His study in Graphics is interdisciplinary in nature, drawing from both Spherical model and Software design.
Between 2011 and 2018, his most popular works were:
- Phenix - a comprehensive python-based system for macromolecular structure solution (5901 citations)
- Towards automated crystallographic structure refinement with phenix.refine (2925 citations)
- Simultaneous Femtosecond X-ray Spectroscopy and Diffraction of Photosystem II at Room Temperature (310 citations)
In his most recent research, the most cited papers focused on:
- Quantum mechanics
- Geometry
- Programming language
His primary scientific interests are in Crystallography, Femtosecond, Photosystem II, Analytical chemistry and X-ray crystallography.
His research integrates issues of Macromolecular crystallography, Software and Software engineering in his study of Crystallography.
His Software study incorporates themes from Graphical user interface, Use case and Model building.
His Software engineering research incorporates themes from Python, Software design and Graphics.
The study incorporates disciplines such as X-ray spectroscopy, Resolution and Diffraction in addition to Analytical chemistry.
He combines Automation and Component in his research.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
