T
Till Fluschnik
Researcher at Technical University of Berlin
Publications - 78
Citations - 750
Till Fluschnik is an academic researcher from Technical University of Berlin. The author has contributed to research in topics: Parameterized complexity & Kernelization. The author has an hindex of 13, co-authored 73 publications receiving 559 citations. Previous affiliations of Till Fluschnik include Potsdam Institute for Climate Impact Research.
Papers
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Journal ArticleDOI
City density and CO2 efficiency
Ramana Gudipudi,Till Fluschnik,Anselmo Garcia Cantu Ros,Carsten Walther,Jürgen P. Kropp,Jürgen P. Kropp +5 more
TL;DR: In this article, the authors employed the City Clustering Algorithm (CCA) and utilized the gridded CO2 emissions data to study the relationship between population density and GHG emissions.
Book ChapterDOI
Temporal Graph Classes: A View Through Temporal Separators
TL;DR: This work investigates the computational complexity of separating two distinct vertices s and z by vertex deletion in a temporal graph and identifies sharp borders between tractable and intractable cases.
Journal ArticleDOI
The complexity of finding small separators in temporal graphs
TL;DR: The notion of a temporal core (vertices whose incident edges change over time) is introduced and it is proved that the non-strict variant is fixed-parameter tractable when parameterized by the temporal core size, while the strict variant remains NP -complete, even for constant-size temporal cores.
Posted Content
Fair Knapsack
TL;DR: Three approaches to aggregating voters' preferences are studied, motivated by the literature on multiwinner elections and fair allocation, and the concepts of individually best, diverse, and fair knapsack are introduced.
Journal ArticleDOI
The size distribution, scaling properties and spatial organization of urban clusters: a global and regional perspective
Till Fluschnik,Steffen Kriewald,Anselmo Garcia Cantu Ros,Bin Zhou,Dominik E. Reusser,Jürgen P. Kropp,Diego Rybski +6 more
TL;DR: In this article, the authors analyzed global land cover data and extracted cities as defined by maximally connected urban clusters and found that the urban land cover of the countries undergoes a transition from separated clusters to a gigantic component on the country scale.