Philipp Kindermann

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70ranked-venue papers
16as first author
32since 2021 · last 2026
0000-0001-5764-7719ORCID · verified

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Theory of computation · 66 · 16 first-author · 28 since 2021Graphics, computer vision, multimedia, augmented reality and games · 2 · 2 since 2021Applied, interdisciplinary, general and emerging computing · 2 · 2 since 2021Databases, data management, data science and information retrieval · 1 · 1 since 2021
YearPublicationVenuePosition
2026 Upward-Planar Drawings with Bounded Span
abstract
We consider upward-planar layered drawings of directed graphs, i.e., crossing-free drawings in which each edge is drawn as a y-monotone curve going upward from its tail to its head, and the y-coordinates of the vertices are integers. The span of an edge in such a drawing is the absolute difference between the y-coordinates of its endpoints, and the span of the drawing is the maximum span of any edge. The span of an upward-planar graph is the minimum span over all its upward-planar drawings. We study the problem of determining the span of upward-planar graphs and provide both combinatorial and algorithmic results. On the combinatorial side, we present upper and lower bounds for the span of directed trees. On the algorithmic side, we show that the problem of determining the span of an upward-planar graph is NP-complete already for directed trees and for biconnected single-source graphs. Moreover, we give efficient algorithms for several graph families with a bounded number of sources, including st-planar graphs and graphs where the planar or upward-planar embedding is prescribed. Furthermore, we show that the problem is fixed-parameter tractable with respect to the vertex cover number and the treedepth plus the span.
Patrizio Angelini, Sabine Cornelsen, Giordano Da Lozzo, Fabrizio Frati, Philipp Kindermann, Ignaz Rutter, Johannes Zink 0001
WG5
2026 Geometric Thickness of Multigraphs is $\exists \mathbb {R}$-Complete
abstract
Abstract We say that a (multi)graph $$ \user2{G} = (\user2{V},\user2{E}) $$ has geometric thickness t if there exists a straight-line drawing $$ \user2{\varphi }:\user2{V} \to \mathbb{R}^{{\mathbf{2}}} $$ and a t -coloring of its edges where no two edges sharing a point in their relative interior have the same color. The Geometric Thickness problem asks whether a given multigraph has geometric thickness at most t . This problem was shown to be NP-hard for $$ \user2{t} = \mathbf{2} $$ (Durocher et al. Comput Geom 56:1–18, 2016. https://doi.org/10.1016/j.comgeo.2016.03.003 ). In this paper, we settle the computational complexity of Geometric Thickness by showing that it is $$\exists \mathbb {R}$$ -complete already for thickness 30 . Moreover, our reduction shows that the problem is $$\exists \mathbb {R}$$ -complete for 4392 -planar graphs, where a graph is k -planar if it admits a topological drawing with at most k crossings per edge. In the course of our paper we answer previous questions on geometric thickness and on other related problems, in particular that simultaneous graph embeddings of 31 edge-disjoint graphs and pseudo-segment stretchability with chromatic number 30 are $$\exists \mathbb {R}$$ -complete.
Henry Förster, Philipp Kindermann, Tillmann Miltzow, Irene Parada, Soeren Terziadis, Birgit Vogtenhuber
Algorithmica2
2026 Parameterized approaches to orthogonal compaction
Walter Didimo, Siddharth Gupta 0002, Philipp Kindermann, Giuseppe Liotta, Alexander Wolff 0001, Meirav Zehavi
J. Comput. Syst. Sci.3
2026 Upward and Rectilinear Planarity are W[1]-Hard Parameterized by Treewidth
Bart M. P. Jansen, Liana Khazaliya, Philipp Kindermann, Giuseppe Liotta, Fabrizio Montecchiani, Kirill Simonov
SIAM J. Discret. Math.3
2026 Weakly leveled planarity with bounded span
abstract
This paper studies planar drawings of graphs in which each vertex is represented as a point along a sequence of horizontal lines, called levels, and each edge is either a horizontal segment or a strictly y -monotone curve. A graph is s -span weakly leveled planar if it admits such a drawing where the edges have span at most s ; the span of an edge is the number of levels it touches minus one. We investigate the problem of computing s -span weakly leveled planar drawings from both the computational and the combinatorial perspectives. We prove the problem to be para-NP-hard with respect to its natural parameter s and investigate its complexity with respect to widely used structural parameters. We show the existence of a polynomial-size kernel with respect to vertex cover number and prove that the problem is FPT when parameterized by treedepth. We also present upper and lower bounds on the span for various graph classes. Notably, we show that cycle trees, a family of 2-outerplanar graphs generalizing Halin graphs, are Θ(log n )-span weakly leveled planar and 4-span weakly leveled planar when 3-connected. As a byproduct of these combinatorial results, we obtain improved bounds on the edge-length ratio of the graph families under consideration.
Michael A. Bekos, Giordano Da Lozzo, Fabrizio Frati, Siddharth Gupta 0002, Philipp Kindermann, Giuseppe Liotta, Ignaz Rutter, Ioannis G. Tollis
Theor. Comput. Sci.5
2025 Separability of Witness Gabriel Drawings
abstract
A witness Gabriel drawing Γ is a straight-line drawing of a graph in which any two vertices of Γ are adjacent if and only if the disk having these vertices as antipodal points contains no element of a special set of points called witnesses. A witness Gabriel drawing is linearly separable if the vertices and the witnesses lie in opposite half-planes. We prove that every outerplanar graph has a linearly separable witness Gabriel drawing by introducing and studying a new type of drawing that we call a border parabola drawing. We then use border parabola drawings to characterize those triangle-free graphs that admit a linearly separable witness Gabriel drawing. We also consider witness Gabriel drawings where no witness lies in the interior of the convex hull of the vertex set, which we call convexly separable drawings. We construct witness Gabriel drawable graphs for which any witness Gabriel drawing must be convexly separable and that do not admit any linearly separable witness Gabriel drawing.
Carolina Haase, Philipp Kindermann, William J. Lenhart, Giuseppe Liotta
GD2
2025 On layered area-proportional rectangle contact representations
Carolina Haase, Philipp Kindermann
Theor. Comput. Sci.2
2024 Weakly Leveled Planarity with Bounded Span
abstract
This paper studies planar drawings of graphs in which each vertex is represented as a point along a sequence of horizontal lines, called levels, and each edge is either a horizontal segment or a strictly $y$-monotone curve. A graph is $s$-span weakly leveled planar if it admits such a drawing where the edges have span at most $s$; the span of an edge is the number of levels it touches minus one. We investigate the problem of computing $s$-span weakly leveled planar drawings from both the computational and the combinatorial perspectives. We prove the problem to be para-NP-hard with respect to its natural parameter $s$ and investigate its complexity with respect to widely used structural parameters. We show the existence of a polynomial-size kernel with respect to vertex cover number and prove that the problem is FPT when parameterized by treedepth. We also present upper and lower bounds on the span for various graph classes. Notably, we show that cycle trees, a family of $2$-outerplanar graphs generalizing Halin graphs, are $Θ(\log n)$-span weakly leveled planar and $4$-span weakly leveled planar when $3$-connected. As a byproduct of these combinatorial results, we obtain improved bounds on the edge-length ratio of the graph families under consideration.
Michael A. Bekos, Giordano Da Lozzo, Fabrizio Frati, Siddharth Gupta 0002, Philipp Kindermann, Giuseppe Liotta, Ignaz Rutter, Ioannis G. Tollis
GD5
2024 On k-Plane Insertion into Plane Drawings
abstract
We introduce the $k$-Plane Insertion into Plane drawing ($k$-PIP) problem: given a plane drawing of a planar graph $G$ and a set $F$ of edges, insert the edges in $F$ into the drawing such that the resulting drawing is $k$-plane. In this paper, we show that the problem is NP-complete for every $k\ge 1$, even when $G$ is biconnected and the set $F$ of edges forms a matching or a path. On the positive side, we present a linear-time algorithm for the case that $k=1$ and $G$ is a triangulation.
Julia Katheder, Philipp Kindermann, Fabian Klute, Irene Parada, Ignaz Rutter
GD2
2024 The PACE 2024 Parameterized Algorithms and Computational Experiments Challenge: One-Sided Crossing Minimization
Philipp Kindermann, Fabian Klute, Soeren Terziadis
IPEC1
2024 Geometric Thickness of Multigraphs is ∃ ℝ-Complete
Henry Förster, Philipp Kindermann, Tillmann Miltzow, Irene Parada, Soeren Terziadis, Birgit Vogtenhuber
LATIN (1)2
2024 Perfect Matchings with Crossings
abstract
Abstract For sets of n points, n even, in general position in the plane, we consider straight-line drawings of perfect matchings on them. It is well known that such sets admit at least $$C_{n/2}$$ C n / 2 different plane perfect matchings, where $$C_{n/2}$$ C n / 2 is the n /2-th Catalan number. Generalizing this result we are interested in the number of drawings of perfect matchings which have k crossings. We show the following results. (1) For every $$k\le \frac{1}{64}n^2-\frac{35}{32}n\sqrt{n}+\frac{1225}{64}n$$ k ≤ 1 64 n 2 - 35 32 n n + 1225 64 n , any set with n points, n sufficiently large, admits a perfect matching with exactly k crossings. (2) There exist sets of n points where every perfect matching has at most $$\frac{5}{72}n^2-\frac{n}{4}$$ 5 72 n 2 - n 4 crossings. (3) The number of perfect matchings with at most k crossings is superexponential in n if k is superlinear in n . (4) Point sets in convex position minimize the number of perfect matchings with at most k crossings for $$k=0,1,2$$ k = 0 , 1 , 2 , and maximize the number of perfect matchings with $$\left( {\begin{array}{c}n/2\\ 2\end{array}}\right) $$ n / 2 2 crossings and with $${\left( {\begin{array}{c}n/2\\ 2\end{array}}\right) }\!-\!1$$ n / 2 2 - 1
Oswin Aichholzer, Ruy Fabila-Monroy, Philipp Kindermann, Irene Parada, Rosna Paul, Daniel Perz, Patrick Schnider, Birgit Vogtenhuber
Algorithmica3
2024 Recognizing well-dominated graphs is coNP-complete
Akanksha Agrawal 0001, Henning Fernau, Philipp Kindermann, Kevin Mann, Uéverton S. Souza
Inf. Process. Lett.3
2023 Mutual Witness Proximity Drawings of Isomorphic Trees
Carolina Haase, Philipp Kindermann, William J. Lenhart, Giuseppe Liotta
GD (1)2
2023 Upward and Orthogonal Planarity are W[1]-Hard Parameterized by Treewidth
Bart M. P. Jansen, Liana Khazaliya, Philipp Kindermann, Giuseppe Liotta, Fabrizio Montecchiani, Kirill Simonov
GD (2)3
2023 Three Edge-Disjoint Plane Spanning Paths in a Point Set
Philipp Kindermann, Jan Kratochvíl, Giuseppe Liotta, Pavel Valtr 0001
GD (1)1
2023 The st-Planar Edge Completion Problem Is Fixed-Parameter Tractable
abstract
The problem of deciding whether a biconnected planar digraph $G=(V,E)$ can be augmented to become an $st$-planar graph by adding a set of oriented edges $E' \subseteq V \times V$ is known to be NP-complete. We show that the problem is fixed-parameter tractable when parameterized by the size of the set $E'$.
Liana Khazaliya, Philipp Kindermann, Giuseppe Liotta, Fabrizio Montecchiani, Kirill Simonov
ISAAC2
2023 Parameterized Approaches to Orthogonal Compaction
Walter Didimo, Siddharth Gupta 0002, Philipp Kindermann, Giuseppe Liotta, Alexander Wolff 0001, Meirav Zehavi
SOFSEM3
2023 The Complexity of Finding Tangles
Oksana Firman, Philipp Kindermann, Boris Klemz, Alexander Ravsky, Alexander Wolff 0001, Johannes Zink 0001
SOFSEM2
2022 The Rique-Number of Graphs
Michael A. Bekos, Stefan Felsner, Philipp Kindermann, Stephen G. Kobourov, Jan Kratochvíl, Ignaz Rutter
GD3
2022 Morphing Rectangular Duals
Steven Chaplick, Philipp Kindermann, Jonathan Klawitter, Ignaz Rutter, Alexander Wolff 0001
GD2
2022 Outside-Obstacle Representations with All Vertices on the Outer Face
Oksana Firman, Philipp Kindermann, Jonathan Klawitter, Boris Klemz, Felix Klesen, Alexander Wolff 0001
GD2
2022 Graph Drawing Contest Report
Philipp Kindermann, Fabian Klute, Tamara Mchedlidze, Wouter Meulemans
GD1
2022 Perfect Matchings with Crossings
Oswin Aichholzer, Ruy Fabila-Monroy, Philipp Kindermann, Irene Parada, Rosna Paul, Daniel Perz, Patrick Schnider, Birgit Vogtenhuber
IWOCA3
2022 Minimum rectilinear polygons for given angle sequences
William S. Evans, Krzysztof Fleszar 0001, Philipp Kindermann, Noushin Saeedi, Chan-Su Shin, Alexander Wolff 0001
Comput. Geom.3
2022 On mixed linear layouts of series-parallel graphs
Patrizio Angelini, Michael A. Bekos, Philipp Kindermann, Tamara Mchedlidze
Theor. Comput. Sci.3
2022 Simple algorithms for partial and simultaneous rectangular duals with given contact orientations
Steven Chaplick, Stefan Felsner, Philipp Kindermann, Jonathan Klawitter, Ignaz Rutter, Alexander Wolff 0001
Theor. Comput. Sci.3
2022 Crossing numbers of beyond-planar graphs
Markus Chimani, Philipp Kindermann, Fabrizio Montecchiani, Pavel Valtr 0001
Theor. Comput. Sci.2
2021 Extending Partial Representations of Rectangular Duals with Given Contact Orientations
Steven Chaplick, Philipp Kindermann, Jonathan Klawitter, Ignaz Rutter, Alexander Wolff 0001
CIAC2
2021 One-Bend Drawings of Outerplanar Graphs Inside Simple Polygons
Patrizio Angelini, Philipp Kindermann, Andre Löffler, Lena Schlipf, Antonios Symvonis
GD2
2021 Graph Drawing Contest Report
Philipp Kindermann, Tamara Mchedlidze, Wouter Meulemans
GD1
2021 ClusterSets: Optimizing Planar Clusters in Categorical Point Data
abstract
Abstract In geographic data analysis, one is often given point data of different categories (such as facilities of a university categorized by department). Drawing upon recent research on set visualization, we want to visualize category membership by connecting points of the same category with visual links. Existing approaches that follow this path usually insist on connecting all members of a category, which may lead to many crossings and visual clutter. We propose an approach that avoids crossings between connections of different categories completely. Instead of connecting all data points of the same category, we subdivide categories into smaller, local clusters where needed. We do a case study comparing the legibility of drawings produced by our approach and those by existing approaches. In our problem formulation, we are additionally given a graph G on the data points whose edges express some sort of proximity. Our aim is to find a subgraph G′ of G with the following properties: (i) edges connect only data points of the same category, (ii) no two edges cross, and (iii) the number of connected components (clusters) is minimized. We then visualize the clusters in G′. For arbitrary graphs, the resulting optimization problem, Cluster Minimization, is NP‐hard (even to approximate). Therefore, we introduce two heuristics. We do an extensive benchmark test on real‐world data. Comparisons with exact solutions indicate that our heuristics do astonishing well for certain relative‐neighborhood graphs.
Jakob Geiger, Sabine Cornelsen, Jan-Henrik Haunert, Philipp Kindermann, Tamara Mchedlidze, Martin Nöllenburg, Yoshio Okamoto, Alexander Wolff 0001
Comput. Graph. Forum4
2020 On Mixed Linear Layouts of Series-Parallel Graphs
Patrizio Angelini, Michael A. Bekos, Philipp Kindermann, Tamara Mchedlidze
GD3
2020 Graph Drawing Contest Report
Philipp Kindermann, Tamara Mchedlidze, Wouter Meulemans, Ignaz Rutter
GD1
2019 Stick Graphs with Length Constraints
Steven Chaplick, Philipp Kindermann, Andre Löffler, Florian Thiele, Alexander Wolff 0001, Alexander Zaft, Johannes Zink 0001
GD2
2019 Crossing Numbers of Beyond-Planar Graphs
Markus Chimani, Philipp Kindermann, Fabrizio Montecchiani, Pavel Valtr 0001
GD2
2019 Computing Height-Optimal Tangles Faster
Oksana Firman, Philipp Kindermann, Alexander Ravsky, Alexander Wolff 0001, Johannes Zink 0001
GD2
2019 Graph Drawing Contest Report
Philipp Kindermann, Tamara Mchedlidze, Ignaz Rutter
GD1
2019 Drawing Planar Graphs with Few Segments on a Polynomial Grid
Philipp Kindermann, Tamara Mchedlidze, Thomas Schneck, Antonios Symvonis
GD1
2019 Finding Tutte Paths in Linear Time
abstract
It is well-known that every planar graph has a Tutte path, i.e., a path $P$ such that any component of $G-P$ has at most three attachment points on $P$. However, it was only recently shown that such Tutte paths can be found in polynomial time. In this paper, we give a new proof that 3-connected planar graphs have Tutte paths, which leads to a linear-time algorithm to find Tutte paths. Furthermore, our Tutte path has special properties: it visits all exterior vertices, all components of $G-P$ have exactly three attachment points, and we can assign distinct representatives to them that are interior vertices. Finally, our running time bound is slightly stronger; we can bound it in terms of the degrees of the faces that are incident to $P$. This allows us to find some applications of Tutte paths (such as binary spanning trees and 2-walks) in linear time as well.
Therese Biedl, Philipp Kindermann
ICALP2
2019 Maximum Matchings and Minimum Blocking Sets in \varTheta _6 -Graphs
Therese Biedl, Ahmad Biniaz, Veronika Irvine, Kshitij Jain 0001, Philipp Kindermann, Anna Lubiw
WG5
2019 Greedy rectilinear drawings
Patrizio Angelini, Michael A. Bekos, Walter Didimo, Luca Grilli 0001, Philipp Kindermann, Tamara Mchedlidze, Roman Prutkin, Antonios Symvonis, Alessandra Tappini
Theor. Comput. Sci.5
2018 Greedy Rectilinear Drawings
Patrizio Angelini, Michael A. Bekos, Walter Didimo, Luca Grilli 0001, Philipp Kindermann, Tamara Mchedlidze, Roman Prutkin, Antonios Symvonis, Alessandra Tappini
GD5
2018 Graph Drawing Contest Report
William E. Devanny, Philipp Kindermann, Maarten Löffler, Ignaz Rutter
GD2
2018 Drawing Subcubic 1-Planar Graphs with Few Bends, Few Slopes, and Large Angles
Philipp Kindermann, Fabrizio Montecchiani, Lena Schlipf, André Schulz 0001
GD1
2018 On the Planar Split Thickness of Graphs
David Eppstein, Philipp Kindermann, Stephen G. Kobourov, Giuseppe Liotta, Anna Lubiw, Aude Maignan, Debajyoti Mondal, Hamideh Vosoughpour, Sue Whitesides, Stephen K. Wismath
Algorithmica2
2018 Windrose Planarity: Embedding Graphs with Direction-Constrained Edges
abstract
Given a planar graph G and a partition of the neighbors of each vertex v in four sets v ↗ , v ↖ , v ↙ , and v ↘ , the problem W indrose P lanarity asks to decide whether G admits a windrose-planar drawing , that is, a planar drawing in which (i) each neighbor u ∈ v ↗ v is above and to the right of v , (ii) each neighbor u ∈ v ↖ is above and to the left of v , (iii) each neighbor u ∈ v ↙ is below and to the left of v , (iv) each neighbor u ∈ v ↘ is below and to the right of v , and (v) edges are represented by curves that are monotone with respect to each axis. By exploiting both the horizontal and the vertical relationship among vertices, windrose-planar drawings allow us to simultaneously visualize two partial orders defined by means of the edges of the graph. Although the problem is NP -hard in the general case, we give a polynomial-time algorithm for testing whether there exists a windrose-planar drawing that respects a given combinatorial embedding. This algorithm is based on a characterization of the plane triangulations admitting a windrose-planar drawing. Furthermore, for any embedded graph with n vertices that has a windrose-planar drawing, we can construct one with at most one bend per edge and with at most 2 n −5 bends in total, which lies on the 3 n × 3 n grid. The latter result contrasts with the fact that straight-line windrose-planar drawings may require exponential area.
Patrizio Angelini, Giordano Da Lozzo, Giuseppe Di Battista, Valentino Di Donato, Philipp Kindermann, Günter Rote, Ignaz Rutter
ACM Trans. Algorithms5
2018 1-Fan-bundle-planar drawings of graphs
Patrizio Angelini, Michael A. Bekos, Michael Kaufmann 0001, Philipp Kindermann, Thomas Schneck
Theor. Comput. Sci.4
2017 1-Fan-Bundle-Planar Drawings of Graphs
Patrizio Angelini, Michael A. Bekos, Michael Kaufmann 0001, Philipp Kindermann, Thomas Schneck
GD4
2017 Graph Drawing Contest Report
William E. Devanny, Philipp Kindermann, Maarten Löffler, Ignaz Rutter
GD2
2017 Lombardi Drawings of Knots and Links
Philipp Kindermann, Stephen G. Kobourov, Maarten Löffler, Martin Nöllenburg, André Schulz 0001, Birgit Vogtenhuber
GD1
2017 Experimental Analysis of the Accessibility of Drawings with Few Segments
Philipp Kindermann, Wouter Meulemans, André Schulz 0001
GD1
2017 Placing your Coins on a Shelf
Helmut Alt, Kevin Buchin, Steven Chaplick, Otfried Cheong, Philipp Kindermann, Christian Knauer, Fabian Stehn
ISAAC5
2017 Drawing Planar Graphs with Few Geometric Primitives
Gregor Hültenschmidt, Philipp Kindermann, Wouter Meulemans, André Schulz 0001
WG2
2017 Improved Approximation Algorithms for Box Contact Representations
Michael A. Bekos, Thomas C. van Dijk, Martin Fink 0001, Philipp Kindermann, Stephen G. Kobourov, Sergey Pupyrev, Joachim Spoerhase, Alexander Wolff 0001
Algorithmica4
2016 Strongly Monotone Drawings of Planar Graphs
abstract
A straight-line drawing of a graph is a monotone drawing if for each pair of vertices there is a path which is monotonically increasing in some direction, and it is called a strongly monotone drawing if the direction of monotonicity is given by the direction of the line segment connecting the two vertices. We present algorithms to compute crossing-free strongly monotone drawings for some classes of planar graphs; namely, 3-connected planar graphs, outerplanar graphs, and 2-trees. The drawings of 3-connected planar graphs are based on primal-dual circle packings. Our drawings of outerplanar graphs depend on a new algorithm that constructs strongly monotone drawings of trees which are also convex. For irreducible trees, these drawings are strictly convex.
Stefan Felsner, Alexander Igamberdiev, Philipp Kindermann, Boris Klemz, Tamara Mchedlidze, Manfred Scheucher
SoCG3
2016 Simultaneous Orthogonal Planarity
Patrizio Angelini, Steven Chaplick, Sabine Cornelsen, Giordano Da Lozzo, Giuseppe Di Battista, Peter Eades, Philipp Kindermann, Jan Kratochvíl, Fabian Lipp, Ignaz Rutter
GD7
2016 Graph Drawing Contest Report
Philipp Kindermann, Maarten Löffler, Lev Nachmanson, Ignaz Rutter
GD1
2016 On the Planar Split Thickness of Graphs
David Eppstein, Philipp Kindermann, Stephen G. Kobourov, Giuseppe Liotta, Anna Lubiw, Aude Maignan, Debajyoti Mondal, Hamideh Vosoughpour, Sue Whitesides, Stephen K. Wismath
LATIN2
2016 Windrose Planarity: Embedding Graphs with Direction-Constrained Edges
abstract
Given a planar graph G(V, E) and a partition of the neighbors of each vertex v ∊ V in four sets , and , the problem Windrose Planarity asks to decide whether G admits a windrose-planar drawing, that is, a planar drawing in which (i) each neighbor u ∊ is above and to the right of v, (ii) each neighbor u ∊ is above and to the left of v, (iii) each neighbor u ∊ is below and to the left of v, (iv) each neighbor u ∊ is below and to the right of v, and (v) edges are represented by curves that are monotone with respect to each axis. By exploiting both the horizontal and the vertical relationship among vertices, windrose-planar drawings allow to simultaneously visualize two partial orders defined by means of the edges of the graph. Although the problem is -hard in the general case, we give a polynomial-time algorithm for testing whether there exists a windrose-planar drawing that respects a combinatorial embedding that is given as part of the input. This algorithm is based on a characterization of the plane triangulations admitting a windrose-planar drawing. Furthermore, for any embedded graph admitting a windrose-planar drawing we show how to construct one with at most one bend per edge on an O(n) × O(n) grid. The latter result contrasts with the fact that straight-line windrose-planar drawings may require exponential area.
Patrizio Angelini, Giordano Da Lozzo, Giuseppe Di Battista, Valentino Di Donato, Philipp Kindermann, Günter Rote, Ignaz Rutter
SODA5
2016 Multi-sided Boundary Labeling
Philipp Kindermann, Benjamin Niedermann, Ignaz Rutter, Marcus Schaefer 0001, André Schulz 0001, Alexander Wolff 0001
Algorithmica1
2016 Recognizing and drawing IC-planar graphs
Franz-Josef Brandenburg, Walter Didimo, William S. Evans, Philipp Kindermann, Giuseppe Liotta, Fabrizio Montecchiani
Theor. Comput. Sci.4
2015 Recognizing and Drawing IC-Planar Graphs
Franz-Josef Brandenburg, Walter Didimo, William S. Evans, Philipp Kindermann, Giuseppe Liotta, Fabrizio Montecchiani
GD4
2015 Graph Drawing Contest Report
Philipp Kindermann, Maarten Löffler, Lev Nachmanson, Ignaz Rutter
GD1
2015 Colored Non-crossing Euclidean Steiner Forest
Sergey Bereg, Krzysztof Fleszar 0001, Philipp Kindermann, Sergey Pupyrev, Joachim Spoerhase, Alexander Wolff 0001
ISAAC3
2014 Improved Approximation Algorithms for Box Contact Representations
Michael A. Bekos, Thomas C. van Dijk, Martin Fink 0001, Philipp Kindermann, Stephen G. Kobourov, Sergey Pupyrev, Joachim Spoerhase, Alexander Wolff 0001
ESA4
2014 Luatodonotes: Boundary Labeling for Annotations in Texts
Philipp Kindermann, Fabian Lipp, Alexander Wolff 0001
GD1
2014 On Monotone Drawings of Trees
Philipp Kindermann, André Schulz 0001, Joachim Spoerhase, Alexander Wolff 0001
GD1
2014 Smooth Orthogonal Drawings of Planar Graphs
Muhammad Jawaherul Alam, Michael A. Bekos, Michael Kaufmann 0001, Philipp Kindermann, Stephen G. Kobourov, Alexander Wolff 0001
LATIN4
2013 Two-Sided Boundary Labeling with Adjacent Sides
Philipp Kindermann, Benjamin Niedermann, Ignaz Rutter, Marcus Schaefer 0001, André Schulz 0001, Alexander Wolff 0001
WADS1