Geometric inhomogeneous random graphs K Bringmann, R Keusch, J Lengler Theoretical Computer Science 760, 35-54, 2019 | 153 | 2019 |

Drift analysis J Lengler Theory of evolutionary computation: Recent developments in discrete …, 2020 | 101 | 2020 |

A general dichotomy of evolutionary algorithms on monotone functions J Lengler IEEE Transactions on Evolutionary Computation 24 (6), 995-1009, 2019 | 68 | 2019 |

Reliable neuronal systems: the importance of heterogeneity J Lengler, F Jug, A Steger PloS one 8 (12), e80694, 2013 | 61 | 2013 |

Self-adjusting mutation rates with provably optimal success rules B Doerr, C Doerr, J Lengler Proceedings of the Genetic and Evolutionary Computation Conference, 1479-1487, 2019 | 57 | 2019 |

Drift analysis and evolutionary algorithms revisited J Lengler, A Steger Combinatorics, Probability and Computing 27 (4), 643-666, 2018 | 57 | 2018 |

Sampling geometric inhomogeneous random graphs in linear time K Bringmann, R Keusch, J Lengler arXiv preprint arXiv:1511.00576, 2015 | 56 | 2015 |

Average distance in a general class of scale-free networks with underlying geometry K Bringmann, R Keusch, J Lengler arXiv preprint arXiv:1602.05712, 2016 | 53 | 2016 |

Bootstrap percolation on geometric inhomogeneous random graphs C Koch, J Lengler arXiv preprint arXiv:1603.02057, 2016 | 43 | 2016 |

Nearly-tight analysis for 2-choice and 3-majority consensus dynamics M Ghaffari, J Lengler Proceedings of the 2018 ACM Symposium on Principles of Distributed Computing …, 2018 | 41 | 2018 |

Greedy routing and the algorithmic small-world phenomenon K Bringmann, R Keusch, J Lengler, Y Maus, AR Molla Proceedings of the ACM Symposium on Principles of Distributed Computing, 371-380, 2017 | 39 | 2017 |

Black-box complexities of combinatorial problems B Doerr, J Lengler, T Kötzing, C Winzen Proceedings of the 13th annual conference on Genetic and evolutionary …, 2011 | 37 | 2011 |

Fixed budget performance of the (1+ 1) EA on linear functions J Lengler, N Spooner Proceedings of the 2015 ACM Conference on Foundations of Genetic Algorithms …, 2015 | 32 | 2015 |

Exponential slowdown for larger populations: the (µ+ 1)-EA on monotone functions J Lengler, X Zou Proceedings of the 15th ACM/SIGEVO Conference on Foundations of Genetic …, 2019 | 28 | 2019 |

Asymptotically optimal amplifiers for the Moran process LA Goldberg, J Lapinskas, J Lengler, F Meier, K Panagiotou, P Pfister Theoretical Computer Science 758, 73-93, 2019 | 28 | 2019 |

Medium step sizes are harmful for the compact genetic algorithm J Lengler, D Sudholt, C Witt Proceedings of the Genetic and Evolutionary Computation Conference, 1499-1506, 2018 | 27 | 2018 |

Bounding bloat in genetic programming B Doerr, T Kötzing, JAG Lagodzinski, J Lengler Proceedings of the Genetic and Evolutionary Computation Conference, 921-928, 2017 | 27 | 2017 |

The complex parameter landscape of the compact genetic algorithm J Lengler, D Sudholt, C Witt Algorithmica 83, 1096-1137, 2021 | 24 | 2021 |

Large population sizes and crossover help in dynamic environments J Lengler, J Meier International Conference on Parallel Problem Solving from Nature, 610-622, 2020 | 24* | 2020 |

When does hillclimbing fail on monotone functions: an entropy compression argument J Lengler, A Martinsson, A Steger 2019 Proceedings of the Sixteenth Workshop on Analytic Algorithmics and …, 2019 | 21 | 2019 |