Gleb Tikhonov
Nature and Landscape Conservation · 2017–2020
A researcher in the Science corpus: 3 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Nature and Landscape Conservation — 65 citations into it
- Ecological Modeling — 40 citations into it
- Ecology, Evolution, Behavior and Systematics — 40 citations into it
- Ecology — 30 citations into it
- Insect Science — 7 citations into it
- Statistics and Probability — 5 citations into it
Whom Gleb Tikhonov trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Otso Ovaskainen
- J. Veech
- David I. Warton
- Anirban Bhattacharya
- N. Abrego
- David B. Dunson
- F. Guillaume Blanchet
- Tue Tjur
- M. Vellend
- Antoine Guisan
Papers from Gleb Tikhonov's perspective
Ordered by how strongly the researchers Gleb Tikhonov trusts endorse each paper. Same corpus, a different order for every researcher.
- Predicting species distribution: offering more than simple habitat models. (Ecology Letters)
- Rebuilding community ecology from functional traits. (Trends in Ecology & Evolution)
- Understanding co‐occurrence by modelling species simultaneously with a Joint Species Distribution Model (JSDM)
- Spatial factor analysis: a new tool for estimating joint species distributions and correlations in species range
- So Many Variables: Joint Modeling in Community Ecology. (Trends in Ecology & Evolution)
- The role of biotic interactions in shaping distributions and realised assemblages of species: implications for species distribution modelling (Biological Reviews of The Cambridge Philosophical Society)
- Conceptual Synthesis in Community Ecology (The Quarterly review of biology)
- Global change and species interactions in terrestrial ecosystems. (Ecology Letters)
- Modelling of species distributions, range dynamics and communities under imperfect detection: advances, challenges and opportunities
- The metacommunity concept: a framework for multi-scale community ecology
Their papers
- Joint species distribution modelling with the r‐package Hmsc (2020) — 422 citations
- How to make more out of community data? A conceptual framework and its implementation as models and software. (2017) — 897 citations
- Using joint species distribution models for evaluating how species‐to‐species associations depend on the environmental context (2017) — 165 citations