Jonas Knape

Ecology · 2015–2018

A researcher in the Science corpus: 3 papers; trusts 26 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Ecology — 21 citations into it; #9,385 of 10,717 by trust here, #9,634 by citations
• Nature and Landscape Conservation — 14 citations into it; #6,024 of 6,941 by trust here, #6,537 by citations
• Ecological Modeling — 12 citations into it
• Statistics and Probability — 11 citations into it

Whom Jonas Knape trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. J. Andrew Royle
2. W. Link
3. Eric R. Ziegel
4. Alan Y. Chiang
5. Jay M. Ver Hoef
6. Ian J. Fiske
7. R. Gregory
8. John R. Sauer
9. D. MacKenzie
10. Rachel M. Fewster

Who trusts Jonas Knape overall

1. G. Guillera‐Arroita
2. T. Hefley

Papers from Jonas Knape's perspective

Ordered by how strongly the researchers Jonas Knape trusts endorse each paper. Same corpus, a different order for every researcher.

1. Generalized Linear Models
2. Developing indicators for European birds (Philosophical Transactions of the Royal Society B: Biological Sciences)
3. N‐Mixture Models for Estimating Population Size from Spatially Replicated Counts (Biometrics)
4. A HIERARCHICAL ANALYSIS OF POPULATION CHANGE WITH APPLICATION TO CERULEAN WARBLERS
5. ESTIMATING SITE OCCUPANCY RATES WHEN DETECTION PROBABILITIES ARE LESS THAN ONE (Ecology)
6. unmarked: An R Package for Fitting Hierarchical Models of Wildlife Occurrence and Abundance
7. ANALYSIS OF POPULATION TRENDS FOR FARMLAND BIRDS USING GENERALIZED ADDITIVE MODELS
8. Model selection and inference : a practical information-theoretic approach
9. Trend estimation in populations with imperfect detection
10. Linking agricultural practice to insect and bird populations: a historical study over three decades

Their papers

• Decomposing trends in Swedish bird populations using generalized additive mixed models (2016) — 87 citations
• Estimates from non‐replicated population surveys rely on critical assumptions (2015) — 50 citations
• Sensitivity of binomial N‐mixture models to overdispersion: The importance of assessing model fit (2018) — 61 citations