| Persistence-based clustering in Riemannian manifolds F Chazal, LJ Guibas, SY Oudot, P Skraba Journal of the ACM (JACM) 60 (6), 1-38, 2013 | 292 | 2013 |
| Zigzag persistent homology in matrix multiplication time N Milosavljević, D Morozov, P Skraba Proceedings of the twenty-seventh Annual Symposium on Computational Geometry …, 2011 | 158 | 2011 |
| Persistence-based segmentation of deformable shapes P Skraba, M Ovsjanikov, F Chazal, L Guibas 2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010 | 142 | 2010 |
| Analysis of scalar fields over point cloud data F Chazal, LJ Guibas, SY Oudot, P Skraba Proceedings of the twentieth annual ACM-SIAM symposium on Discrete …, 2009 | 91 | 2009 |
| Maximally persistent cycles in random geometric complexes O Bobrowski, M Kahle, P Skraba The Annals of Applied Probability, 2032-2060, 2017 | 62 | 2017 |
| Cross-layer optimization for high density sensor networks: Distributed passive routing Decisions P Škraba, H Aghajan, A Bahai International Conference on Ad-Hoc Networks and Wireless, 266-279, 2004 | 61 | 2004 |
| Topological function optimization for continuous shape matching A Poulenard, P Skraba, M Ovsjanikov Computer Graphics Forum 37 (5), 13-25, 2018 | 57 | 2018 |
| News across languages-cross-lingual document similarity and event tracking J Rupnik, A Muhic, G Leban, P Skraba, B Fortuna, M Grobelnik Journal of Artificial Intelligence Research 55, 283-316, 2016 | 56 | 2016 |
| Sweeps over wireless sensor networks P Skraba, Q Fang, A Nguyen, L Guibas Proceedings of the 5th international conference on Information processing in …, 2006 | 54 | 2006 |
| Lightweight coloring and desynchronization for networks A Motskin, T Roughgarden, P Skraba, L Guibas IEEE INFOCOM 2009, 2383-2391, 2009 | 48 | 2009 |
| A topology layer for machine learning RB Gabrielsson, BJ Nelson, A Dwaraknath, P Skraba International Conference on Artificial Intelligence and Statistics, 1553-1563, 2020 | 44 | 2020 |
| A topology layer for machine learning R Brüel-Gabrielsson, BJ Nelson, A Dwaraknath, P Skraba, LJ Guibas, ... arXiv preprint arXiv:1905.12200, 2019 | 43 | 2019 |
| Scalar field analysis over point cloud data F Chazal, LJ Guibas, SY Oudot, P Skraba Discrete & Computational Geometry 46 (4), 743-775, 2011 | 43 | 2011 |
| Topological analysis of recurrent systems P Skraba, V De Silva, M Vejdemo-Johansson NIPS 2012 Workshop on Algebraic Topology and Machine Learning, December 8th …, 2012 | 35 | 2012 |
| Cohomological learning of periodic motion M Vejdemo-Johansson, FT Pokorny, P Skraba, D Kragic Applicable algebra in engineering, communication and computing 26 (1), 5-26, 2015 | 34 | 2015 |
| Wasserstein stability for persistence diagrams P Skraba, K Turner arXiv preprint arXiv:2006.16824, 2020 | 30 | 2020 |
| Streamstory: exploring multivariate time series on multiple scales L Stopar, P Skraba, M Grobelnik, D Mladenic IEEE transactions on visualization and computer graphics 25 (4), 1788-1802, 2018 | 30 | 2018 |
| 2D vector field simplification based on robustness P Skraba, B Wang, G Chen, P Rosen 2014 IEEE Pacific Visualization Symposium, 49-56, 2014 | 29 | 2014 |
| A spectral sequence for parallelized persistence D Lipsky, P Skraba, M Vejdemo-Johansson arXiv preprint arXiv:1112.1245, 2011 | 29 | 2011 |
| Homological percolation and the Euler characteristic O Bobrowski, P Skraba Physical Review E 101 (3), 032304, 2020 | 26 | 2020 |
Leonidas GuibasProfessor of Computer Science, Stanford UniversityVerified email at cs.stanford.edu
