| A user’s guide to topological data analysis E Munch Journal of Learning Analytics 4 (2), 47–61-47–61, 2017 | 210 | 2017 |
| Categorified reeb graphs V De Silva, E Munch, A Patel Discrete & Computational Geometry 55 (4), 854-906, 2016 | 157 | 2016 |
| Chatter detection in turning using persistent homology FA Khasawneh, E Munch Mechanical Systems and Signal Processing 70, 527-541, 2016 | 147 | 2016 |
| Probabilistic Fréchet means for time varying persistence diagrams E Munch, K Turner, P Bendich, S Mukherjee, J Mattingly, J Harer | 83* | 2015 |
| Persistent homology of complex networks for dynamic state detection A Myers, E Munch, FA Khasawneh Physical Review E 100 (2), 022314, 2019 | 80 | 2019 |
| Convergence between Categorical Representations of Reeb Space and Mapper E Munch, B Wang 32nd International Symposium on Computational Geometry (SoCG 2016) 51, 53:1 …, 2016 | 71 | 2016 |
| Chatter Classification in Turning using Machine Learning and Topological Data Analysis FA Khasawneh, ElizabethMunch, JA Perea 14th IFAC Workshop on Time Delay Systems TDS 2018: Budapest, Hungary, 28–30 …, 2018 | 69 | 2018 |
| The shape of things to come: Topological data analysis and biology, from molecules to organisms EJ Amézquita, MY Quigley, T Ophelders, E Munch, DH Chitwood Developmental Dynamics 249 (7), 816-833, 2020 | 64 | 2020 |
| Theory of Interleavings on Categories with a Flow V de Silva, E Munch, A Stefanou Theory and Applications of Categories 33 (21), 583-607, 2018 | 64* | 2018 |
| Strong Equivalence of the Interleaving and Functional Distortion Metrics for Reeb Graphs U Bauer, E Munch, Y Wang 31st International Symposium on Computational Geometry (SoCG 2015) 34, 461--475, 2015 | 61 | 2015 |
| Applications of persistent homology to time varying systems E Munch Duke University, 2013 | 58 | 2013 |
| A structural average of labeled merge trees for uncertainty visualization L Yan, Y Wang, E Munch, E Gasparovic, B Wang IEEE transactions on visualization and computer graphics 26 (1), 832-842, 2019 | 49 | 2019 |
| Topological and statistical behavior classifiers for tracking applications P Bendich, SP Chin, J Clark, J Desena, J Harer, E Munch, A Newman, ... IEEE Transactions on Aerospace and Electronic Systems 52 (6), 2644-2661, 2016 | 39 | 2016 |
| Using persistent homology to quantify a diurnal cycle in hurricanes S Tymochko, E Munch, J Dunion, K Corbosiero, R Torn Pattern Recognition Letters 133, 137-143, 2020 | 36 | 2020 |
| Intrinsic interleaving distance for merge trees E Gasparovic, E Munch, S Oudot, K Turner, B Wang, Y Wang arXiv preprint arXiv:1908.00063, 2019 | 34 | 2019 |
| Computing Wasserstein distance for persistence diagrams on a quantum computer JJ Berwald, JM Gottlieb, E Munch arXiv preprint arXiv:1809.06433, 2018 | 32 | 2018 |
| Approximating continuous functions on persistence diagrams using template functions JA Perea, E Munch, FA Khasawneh Foundations of Computational Mathematics 23 (4), 1215-1272, 2023 | 31 | 2023 |
| Probabilistic convergence and stability of random mapper graphs A Brown, O Bobrowski, E Munch, B Wang Journal of Applied and Computational Topology 5 (1), 99-140, 2021 | 31 | 2021 |
| Topological data analysis for true step detection in periodic piecewise constant signals FA Khasawneh, E Munch Proceedings of the Royal Society A: Mathematical, Physical and Engineering …, 2018 | 31 | 2018 |
| The ℓ∞-Cophenetic Metric for Phylogenetic Trees As an Interleaving Distance E Munch, A Stefanou Research in Data Science, 109-127, 2019 | 29 | 2019 |
Firas KhasawnehMichigan State University在 egr.msu.edu 的电子邮件经过验证
