| Toward a spectral theory of cellular sheaves J Hansen, R Ghrist Journal of Applied and Computational Topology 3 (4), 315-358, 2019 | 139 | 2019 |
| Opinion dynamics on discourse sheaves J Hansen, R Ghrist SIAM Journal on Applied Mathematics 81 (5), 2033-2060, 2021 | 77 | 2021 |
| Sheaf Neural Networks J Hansen, T Gebhart arXiv preprint arXiv:2012.06333, 2020 | 48 | 2020 |
| Non-negatively constrained least squares and parameter choice by the residual periodogram for the inversion of electrochemical impedance spectroscopy data JK Hansen, JD Hogue, GK Sander, RA Renaut, SC Popat Journal of Computational and Applied Mathematics 278, 52-74, 2015 | 28 | 2015 |
| Learning Sheaf Laplacians from Smooth Signals J Hansen, R Ghrist ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 22 | 2019 |
| Laplacians of Cellular Sheaves: Theory and Applications J Hansen University of Pennsylvania, 2020 | 20 | 2020 |
| Distributed Optimization with Sheaf Homological Constraints J Hansen, R Ghrist 2019 57th Annual Allerton Conference on Communication, Control, and …, 2019 | 16 | 2019 |
| Efficient estimation of regularization parameters via downsampling and the singular value expansion: Downsampling regularization parameter estimation RA Renaut, M Horst, Y Wang, D Cochran, J Hansen BIT Numerical Mathematics 57, 499-529, 2017 | 11 | 2017 |
| Consistency constraints for overlapping data clustering J Culbertson, DP Guralnik, J Hansen, PF Stiller arXiv preprint arXiv:1608.04331, 2016 | 8 | 2016 |
| A Cosheaf Theory of Reciprocal Figures: Planar and Higher Genus Graphic Statics Z Cooperband, R Ghrist, J Hansen arXiv preprint arXiv:2311.12946, 2023 | 7 | 2023 |
| Knowledge Sheaves: A Sheaf-Theoretic Framework for Knowledge Graph Embedding T Gebhart, J Hansen, P Schrater International Conference on Artificial Intelligence and Statistics, 9094-9116, 2023 | 6 | 2023 |
| Expansion in matrix-weighted graphs J Hansen Linear Algebra and its Applications 630, 252-273, 2021 | 6 | 2021 |
| A gentle introduction to sheaves on graphs J Hansen | 5 | 2020 |
| Multidimensional persistence module classification via lattice-theoretic convolutions H Riess, J Hansen, R Ghrist arXiv preprint arXiv:2011.14057, 2020 | 4 | 2020 |
| From Connections to Relationships with Cellular Sheaves J Hansen SIAM Workshop on Network Science, 2019 | 1 | 2019 |
| Downsampling for efficient parameter choice in ill-posed deconvolution problems JK Hansen | 1 | 2015 |
| Resolution Arguments for the Estimation of Regularization Parameters in the Solution of Ill-Posed Problems J Hansen, M Horst, R Renaut Householder Symposium XIX June 8-13, Spa Belgium, 190, 0 | | |
