What is he best known for?
The fields of study he is best known for:
- Algorithm
- Geometry
- Combinatorics
Discrete mathematics, Mathematical optimization, Algorithm, Combinatorics and Integer programming are his primary areas of study.
His study in the field of Indifference graph, Pathwidth, Chordal graph and Graph drawing also crosses realms of Constructive.
His Algorithm study combines topics in areas such as Iterated function, Theoretical computer science, Heuristics and Minification.
His Theoretical computer science study integrates concerns from other disciplines, such as Unified Modeling Language, Software, Class diagram, Relational database and Visualization.
His biological study spans a wide range of topics, including Crossing number, Bipartite graph and Minimization problem.
His biological study spans a wide range of topics, including Travelling salesman problem and Maximum cut.
His most cited work include:
- An application of combinatorial optimization to statistical physics and circuit layout design (350 citations)
- Graph Drawing Software (299 citations)
- A Cutting Plane Algorithm for the Linear Ordering Problem (267 citations)
What are the main themes of his work throughout his whole career to date?
Michael Jünger mainly investigates Combinatorics, Discrete mathematics, Algorithm, Mathematical optimization and Integer programming.
His work carried out in the field of Algorithm brings together such families of science as Graph drawing, Heuristics, Degree and Minification.
Michael Jünger has included themes like Linear programming and Combinatorial optimization in his Integer programming study.
His studies in Combinatorial optimization integrate themes in fields like Programming language and Travelling salesman problem.
His Planar graph study incorporates themes from Planarity testing and Directed acyclic graph.
His Branch and cut research includes elements of Maximum cut and Branch and price.
He most often published in these fields:
- Combinatorics (32.54%)
- Discrete mathematics (29.59%)
- Algorithm (23.08%)
What were the highlights of his more recent work (between 2010-2021)?
- Algorithm (23.08%)
- Mathematical optimization (20.12%)
- Flow (2.96%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Algorithm, Mathematical optimization, Flow, Graph drawing and Minification.
His Algorithm research is multidisciplinary, incorporating elements of Edge and Code generation.
His work in the fields of Mathematical optimization, such as Integer programming, Heuristic, Branch and cut and Combinatorial optimization, overlaps with other areas such as Network planning and design.
His Branch and cut study combines topics in areas such as Branch and price and Basic block.
The Graph drawing study combines topics in areas such as Planarity testing, Graph, Monotone polygon and Flow network.
Michael Jünger works mostly in the field of Minification, limiting it down to topics relating to Line and, in certain cases, Theoretical computer science, as a part of the same area of interest.
Between 2010 and 2021, his most popular works were:
- The Open Graph Drawing Framework (OGDF) (94 citations)
- Crossings and Planarization (34 citations)
- The Open Graph Drawing Framework (24 citations)
In his most recent research, the most cited papers focused on:
- Algorithm
- Geometry
- Combinatorics
His primary areas of study are Minification, Discrete mathematics, Open graph, Theoretical computer science and Graph drawing.
His research investigates the connection with Minification and areas like Algorithm which intersect with concerns in Representation.
His Combinatorics research extends to Discrete mathematics, which is thematically connected.
His study in Theoretical computer science is interdisciplinary in nature, drawing from both Cluster analysis and Artificial intelligence.
His Graph drawing research is multidisciplinary, relying on both Heuristic, Heuristics, Special case, Scheme and Integer programming.
His Mathematical optimization study combines topics from a wide range of disciplines, such as Large set and Polytope.
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