J. Eveson

Ecology · 2002–2018

A researcher in the Science corpus: 4 papers; trusts 4 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Ecology — 19 citations into it; #8,540 of 10,717 by trust here, #7,949 by citations
• Global and Planetary Change — 8 citations into it; #2,929 of 10,225 by trust here, #7,219 by citations

Whom J. Eveson trusts overall

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

1. Hirotugu Akaike
2. A. Hobday
3. G. Laslett
4. Klaas Hartmann

Who trusts J. Eveson overall

1. J. Fromentin
2. H. Murua
3. E. Rodríguez-Marín
4. J. Rooker
5. J. Powers
6. J. Farley
7. J. Neilson

Papers from J. Eveson's perspective

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

1. A new look at the statistical model identification
2. A flexible maximum likelihood approach for fitting growth curves to tagrecapture data
3. Environmental DNA (Molecular Ecology)
4. Near real‐time spatial management based on habitat predictions for a longline bycatch species
5. Pyrosequencing faecal DNA to determine diet of little penguins: is what goes in what comes out? (Conservation Genetics)
6. Can DNA-Based Ecosystem Assessments Quantify Species Abundance? Testing Primer Bias and Biomass—Sequence Relationships with an Innovative Metabarcoding Protocol (PLoS ONE)
7. Harbour seals target juvenile salmon of conservation concern
8. Avoiding quantification bias in metabarcoding: Application of a cell biovolume correction factor in diatom molecular biomonitoring
9. Coming of age: ten years of next-generation sequencing technologies (Nature reviews genetics)
10. A cost‐efficient and simple protocol to enrich prey DNA from extractions of predatory arthropods for large‐scale gut content analysis by Illumina sequencing

Their papers

• Counting with DNA in metabarcoding studies: How should we convert sequence reads to dietary data? (2018) — 723 citations
• Seasonal forecasting of tuna habitat in the Great Australian Bight (2015) — 110 citations
• An integrated model for growth incorporating tag-recapture, length-frequency, and direct aging data (2004) — 91 citations
• A flexible maximum likelihood approach for fitting growth curves to tagrecapture data (2002) — 100 citations