| How to make more out of community data? A conceptual framework and its implementation as models and software O Ovaskainen, G Tikhonov, A Norberg, F Guillaume Blanchet, L Duan, ... Ecology letters 20 (5), 561-576, 2017 | 800 | 2017 |
| Joint species distribution modelling with the r‐package Hmsc G Tikhonov, ØH Opedal, N Abrego, A Lehikoinen, MMJ de Jonge, ... Methods in ecology and evolution 11 (3), 442-447, 2020 | 308 | 2020 |
| Using joint species distribution models for evaluating how species‐to‐species associations depend on the environmental context G Tikhonov, N Abrego, D Dunson, O Ovaskainen Methods in Ecology and Evolution 8 (4), 443-452, 2017 | 157 | 2017 |
| How are species interactions structured in species-rich communities? A new method for analysing time-series data O Ovaskainen, G Tikhonov, D Dunson, V Grøtan, S Engen, BE Sæther, ... Proceedings of the Royal Society B: Biological Sciences 284 (1855), 20170768, 2017 | 104 | 2017 |
| Phenological shifts of abiotic events, producers and consumers across a continent T Roslin, L Antao, M Hällfors, E Meyke, C Lo, G Tikhonov, MM Delgado, ... Nature climate change 11 (3), 241-248, 2021 | 84 | 2021 |
| Chronicles of nature calendar, a long-term and large-scale multitaxon database on phenology O Ovaskainen, E Meyke, C Lo, G Tikhonov, MM Delgado, T Roslin, ... Scientific data 7 (1), 47, 2020 | 71 | 2020 |
| Computationally efficient joint species distribution modeling of big spatial data G Tikhonov, L Duan, N Abrego, G Newell, M White, D Dunson, ... Ecology 101 (2), e02929, 2020 | 62 | 2020 |
| Differences in spatial versus temporal reaction norms for spring and autumn phenological events MM Delgado, T Roslin, G Tikhonov, E Meyke, C Lo, E Gurarie, ... Proceedings of the National Academy of Sciences 117 (49), 31249-31258, 2020 | 53 | 2020 |
| Hmsc: Hierarchical model of species communities G Tikhonov, O Ovaskainen, J Oksanen, M de Jonge, O Opedal, T Dallas R package version, 2019 | 39 | 2019 |
| Longitudinal variational autoencoder S Ramchandran, G Tikhonov, K Kujanpää, M Koskinen, H Lähdesmäki International Conference on Artificial Intelligence and Statistics, 3898-3906, 2021 | 32 | 2021 |
| Accounting for environmental variation in co‐occurrence modelling reveals the importance of positive interactions in root‐associated fungal communities N Abrego, T Roslin, T Huotari, AJM Tack, BD Lindahl, G Tikhonov, ... Molecular Ecology 29 (14), 2736-2746, 2020 | 31 | 2020 |
| The seasonal sensitivity of brown bear denning phenology in response to climatic variability MM Delgado, G Tikhonov, E Meyke, M Babushkin, T Bespalova, ... Frontiers in zoology 15, 1-11, 2018 | 28 | 2018 |
| The microbiome of the Melitaea cinxia butterfly shows marked variation but is only little explained by the traits of the butterfly or its host plant G Minard, G Tikhonov, O Ovaskainen, M Saastamoinen Environmental microbiology 21 (11), 4253-4269, 2019 | 26 | 2019 |
| Joint species distribution modelling with the r-package Hmsc. Methods Ecol. Evol. 11, 442–447 G Tikhonov, ØH Opedal, N Abrego, A Lehikoinen, MMJ de Jonge, ... | 23 | 2020 |
| Joint species movement modeling: how do traits influence movements? O Ovaskainen, DL Ramos, EM Slade, T Merckx, G Tikhonov, J Pennanen, ... Ecology 100 (4), e02622, 2019 | 22 | 2019 |
| Natural afforestation on abandoned agricultural lands during post-soviet period: A comparative Landsat data analysis of bordering regions in Russia and Belarus DV Ershov, EA Gavrilyuk, NV Koroleva, EI Belova, EV Tikhonova, ... Remote Sensing 14 (2), 322, 2022 | 20 | 2022 |
| HMSC: Hierarchical modelling of species community FG Blanchet, G Tikhonov, A Norberg R package version, 2017 | 20 | 2017 |
| Higher host plant specialization of root‐associated endophytes than mycorrhizal fungi along an arctic elevational gradient N Abrego, T Huotari, AJM Tack, BD Lindahl, G Tikhonov, P Somervuo, ... Ecology and Evolution 10 (16), 8989-9002, 2020 | 14 | 2020 |
| Joint species distribution modelling with HMSC-R G Tikhonov, Ø Opedal, N Abrego, A Lehikoinen, O Ovaskainen BioRxiv, 603217, 2019 | 13 | 2019 |
| Learning conditional variational autoencoders with missing covariates S Ramchandran, G Tikhonov, O Lönnroth, P Tiikkainen, H Lähdesmäki Pattern Recognition 147, 110113, 2024 | 9 | 2024 |
