What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Geometry
- Programming language
His main research concerns Visualization, Algorithm, Geometry, Computer graphics and Data visualization.
Data mining covers Bernd Hamann research in Visualization.
His Algorithm research includes themes of Discrete mathematics, Interpolation, Subdivision surface, Grid and Tetrahedron.
His Geometry research is multidisciplinary, incorporating perspectives in Curve fitting and Spline.
His Data visualization study combines topics from a wide range of disciplines, such as Interactive visualization and Segmentation.
His work focuses on many connections between Creative visualization and other disciplines, such as Data analysis, that overlap with his field of interest in Gene expression, Computational biology and Gene.
His most cited work include:
- The asymptotic decider: resolving the ambiguity in marching cubes (405 citations)
- A Quantitative Spatiotemporal Atlas of Gene Expression in the Drosophila Blastoderm (237 citations)
- A Quantitative Spatiotemporal Atlas of Gene Expression in the Drosophila Blastoderm (237 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Visualization, Computer graphics, Algorithm, Artificial intelligence and Computer vision.
While the research belongs to areas of Visualization, Bernd Hamann spends his time largely on the problem of Data science, intersecting his research to questions surrounding Data management.
His studies in Computer graphics integrate themes in fields like Interactive visualization, Grid and Octree.
His Algorithm research includes themes of Mathematical optimization, Vector field, Surface and Wavelet.
The subject of his Surface research is within the realm of Geometry.
His works in Segmentation and Image segmentation are all subjects of inquiry into Artificial intelligence.
He most often published in these fields:
- Visualization (37.71%)
- Computer graphics (15.95%)
- Algorithm (15.01%)
What were the highlights of his more recent work (between 2013-2021)?
- Visualization (37.71%)
- Artificial intelligence (15.38%)
- Computer vision (12.95%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Visualization, Artificial intelligence, Computer vision, Data visualization and Algorithm.
His Visualization research incorporates elements of Theoretical computer science, Computer-integrated manufacturing, Human–computer interaction and Topology.
As part of one scientific family, Bernd Hamann deals mainly with the area of Theoretical computer science, narrowing it down to issues related to the Scalability, and often Process.
Bernd Hamann has included themes like Machine learning and Reverse engineering in his Artificial intelligence study.
His Data visualization study incorporates themes from Visual analytics and Information visualization.
His work on Metric expands to the thematically related Algorithm.
Between 2013 and 2021, his most popular works were:
- State of the Art of Performance Visualization (55 citations)
- Measuring the Distance Between Merge Trees (36 citations)
- Combing the Communication Hairball: Visualizing Parallel Execution Traces using Logical Time (33 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Geometry
- Programming language
Visualization, Artificial intelligence, Computer vision, Data visualization and Theoretical computer science are his primary areas of study.
His studies deal with areas such as Supercomputer, Manufacturing engineering, Computer-integrated manufacturing, Graph and Topology as well as Visualization.
His study in the fields of Computational topology under the domain of Topology overlaps with other disciplines such as Probability distribution.
His research in Artificial intelligence intersects with topics in Functional magnetic resonance imaging and Neuroinformatics.
His study in the field of Segmentation, Voxel and Object detection is also linked to topics like Object-class detection and Improved method.
The various areas that Bernd Hamann examines in his Data visualization study include IBM, Information visualization and Grid network.
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