| A topological measurement of protein compressibility M Gameiro, Y Hiraoka, S Izumi, M Kramar, K Mischaikow, V Nanda Japan Journal of Industrial and Applied Mathematics 32 (1), 1-17, 2015 | 209 | 2015 |
| Topological data analysis of contagion maps for examining spreading processes on networks D Taylor, F Klimm, HA Harrington, M Kramár, K Mischaikow, MA Porter, ... Nature communications 6 (1), 7723, 2015 | 188 | 2015 |
| Persistence of force networks in compressed granular media M Kramár, A Goullet, L Kondic, K Mischaikow Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 87 (4 …, 2013 | 167 | 2013 |
| Analysis of Kolmogorov flow and Rayleigh–Bénard convection using persistent homology M Kramár, R Levanger, J Tithof, B Suri, M Xu, M Paul, MF Schatz, ... Physica D: Nonlinear Phenomena 334, 82-98, 2016 | 122 | 2016 |
| Topology of force networks in compressed granular media L Kondic, A Goullet, CS O'Hern, M Kramar, K Mischaikow, RP Behringer Europhysics Letters 97 (5), 54001, 2012 | 120 | 2012 |
| Quantifying force networks in particulate systems M Kramár, A Goullet, L Kondic, K Mischaikow Physica D: Nonlinear Phenomena 283, 37-55, 2014 | 92 | 2014 |
| Evolution of force networks in dense particulate media M Kramár, A Goullet, L Kondic, K Mischaikow arXiv preprint arXiv:1404.6279, 2014 | 53 | 2014 |
| Structure of force networks in tapped particulate systems of disks and pentagons. I. Clusters and loops LA Pugnaloni, CM Carlevaro, M Kramár, K Mischaikow, L Kondic Physical Review E 93 (6), 062902, 2016 | 35 | 2016 |
| Structure of force networks in tapped particulate systems of disks and pentagons. II. Persistence analysis L Kondic, M Kramár, LA Pugnaloni, CM Carlevaro, K Mischaikow Physical Review E 93 (6), 062903, 2016 | 30 | 2016 |
| Characterizing granular networks using topological metrics JA Dijksman, L Kovalcinova, J Ren, RP Behringer, M Kramar, ... Physical Review E 97 (4), 042903, 2018 | 25 | 2018 |
| Machine learning approach to force reconstruction in photoelastic materials R Sergazinov, M Kramár Machine Learning: Science and Technology 2 (4), 045030, 2021 | 20 | 2021 |
| Erratum: Topological data analysis of contagion maps for examining spreading processes on networks D Taylor, F Klimm, HA Harrington, M Kramár, K Mischaikow, MA Porter, ... Nature communications 6, 8374, 2015 | 18 | 2015 |
| A comparison framework for interleaved persistence modules S Harker, M Kramár, R Levanger, K Mischaikow Journal of applied and computational topology 3 (1), 85-118, 2019 | 14 | 2019 |
| Evolution of force networks in dense granular matter close to jamming L Kondic, M Kramár, L Kovalčinová, K Mischaikow EPJ Web of Conferences 140, 15014, 2017 | 9 | 2017 |
| Evolution of force networks during stick-slip motion of an intruder in a granular material: Topological measures extracted from experimental data R Basak, R Kozlowski, LA Pugnaloni, M Kramar, JES Socolar, ... Physical Review E 108 (5), 054903, 2023 | 8 | 2023 |
| On intermittency in sheared granular systems M Kramár, C Cheng, R Basak, L Kondic Soft Matter 18 (18), 3583-3593, 2022 | 7 | 2022 |
| Two approaches to quantification of force networks in particulate systems R Basak, C Manuel Carlevaro, R Kozlowski, C Cheng, LA Pugnaloni, ... Journal of Engineering Mechanics 147 (11), 04021100, 2021 | 7 | 2021 |
| Complex contagions for topological data analysis of networks D Taylor, F Klimm, HA Harrington, M Kramar, K Mischaikow, MA Porter, ... Nature Communications (accepted), 2015 | 5 | 2015 |
| The order of bifurcation points in fourth order conservative systems via braids JB Van Den Berg, M Kramár, RC Vandervorst SIAM Journal on Applied Dynamical Systems 10 (2), 510-550, 2011 | 5 | 2011 |
| A blended online instructional approach to physical education instruction: a combination to enhance student cognitive and physical ability R Taylor Concordia University, 2007 | 4 | 2007 |
