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- Horst W. Hamacher

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

Mathematics
D-index
37
Citations
6,828
167
World Ranking
1666
National Ranking
96

Engineering and Technology
D-index
37
Citations
6,766
155
World Ranking
4440
National Ranking
149

- Mathematical optimization
- Algorithm
- Geometry

His main research concerns Mathematical optimization, Combinatorics, Discrete mathematics, Facility location problem and Integer programming. His research in Mathematical optimization focuses on subjects like Lexicographical order, which are connected to Simulation. His research combines Optimization problem and Combinatorics.

In general Facility location problem study, his work on 1-center problem often relates to the realm of Interface, thereby connecting several areas of interest. His study on Integer programming also encompasses disciplines like

- Heuristic which connect with Column generation,
- Time complexity which intersects with area such as Integer and Cardinality. His work deals with themes such as Quadratic assignment problem and Weber problem, which intersect with Software.

- Facility location : applications and theory (912 citations)
- Inverse radiation therapy planning: a multiple objective optimization approach (166 citations)
- Mathematical Modelling of Evacuation Problems: A State of Art (124 citations)

The scientist’s investigation covers issues in Mathematical optimization, Combinatorics, Flow network, Discrete mathematics and Algorithm. His study in Facility location problem, Integer programming, Linear programming, Combinatorial optimization and Pareto principle is carried out as part of his studies in Mathematical optimization. His Facility location problem course of study focuses on Plane and Regular polygon and Planar.

In his study, which falls under the umbrella issue of Combinatorics, Multi-objective optimization is strongly linked to Optimization problem. Horst W. Hamacher studied Flow network and Dynamic network analysis that intersect with Cellular automaton, Simulation and Upper and lower bounds. His biological study spans a wide range of topics, including Cardinality and Shortest path problem.

- Mathematical optimization (41.14%)
- Combinatorics (24.00%)
- Flow network (20.57%)

- Mathematical optimization (41.14%)
- Flow network (20.57%)
- Dynamic network analysis (10.29%)

His primary areas of study are Mathematical optimization, Flow network, Dynamic network analysis, Cellular automaton and Operations research. His Mathematical optimization research integrates issues from Time complexity, Algorithm, Dominating set and Depth of field, Artificial intelligence. He combines subjects such as Flow, Heuristic and Integer programming with his study of Flow network.

His study looks at the relationship between Dynamic network analysis and topics such as Upper and lower bounds, which overlap with Applied mathematics, Coherence and Travel time. His Cellular automaton research integrates issues from Statistical physics and Simulation. His studies in Operations research integrate themes in fields like Presentation, Sketch, Working group, Library science and Scheduling.

- Scheduling two agents on uniform parallel machines with makespan and cost functions (31 citations)
- A Sandwich Approach for Evacuation Time Bounds (27 citations)
- A Sandwich Approach for Evacuation Time Bounds (27 citations)

- Algorithm
- Mathematical optimization
- Geometry

Horst W. Hamacher mainly investigates Flow network, Dynamic network analysis, Cellular automaton, Upper and lower bounds and Mathematical optimization. His research integrates issues of Flow, Topology and Focus in his study of Flow network. His Flow study combines topics in areas such as Generalization, Theory of computation, Heuristic and Integer programming.

His work deals with themes such as Statistical physics and Simulation, which intersect with Cellular automaton. The concepts of his Upper and lower bounds study are interwoven with issues in Travel time, Coherence and Applied mathematics. Horst W. Hamacher incorporates Mathematical optimization and Parametric statistics in his studies.

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.

Facility location : applications and theory

Zvi Drezner;Horst Hamacher.

**(2001)**

1647 Citations

Inverse radiation therapy planning: a multiple objective optimization approach

H. W. Hamacher;K. H. Küfer.

Discrete Applied Mathematics **(2002)**

252 Citations

Classification of location models

Horst W. Hamacher;Stefan Nickel.

Location Science **(1998)**

236 Citations

On spanning tree problems with multiple objectives

Horst W. Hamacher;Günther Ruhe.

Annals of Operations Research **(1994)**

225 Citations

Uncapacitated single and multiple allocation p-hub center problems

Andreas T. Ernst;Horst Hamacher;Houyuan Jiang;Mohan Krishnamoorthy.

Computers & Operations Research **(2009)**

205 Citations

Mathematical Modelling of Evacuation Problems: A State of Art

H.W. Hamacher;S.A. Tjandra.

**(2001)**

196 Citations

INVERSE RADIATION THERAPY PLANNING: A MULTIPLE OBJECTIVE OPTIMISATION APPROACH

H. W. Hamacher;K. H. Küfer.

Research Papers in Economics **(1999)**

181 Citations

Adapting polyhedral properties from facility to hub location problems

Horst W. Hamacher;Martine Labbé;Stefan Nickel;Tim Sonneborn.

Discrete Applied Mathematics **(2004)**

176 Citations

Mathematical optimization in intensity modulated radiation therapy

Matthias Ehrgott;Çiğdem Güler;Horst W. Hamacher;Lizhen Shao.

Annals of Operations Research **(2010)**

169 Citations

Modeling of building evacuation problems by network flows with side constraints

W. Choi;H.W. Hamacher;S. Tufekci.

European Journal of Operational Research **(1988)**

159 Citations

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