On the public citation graph
https://doi.org/10.2139/ssrn.4664280
0 signed · 24 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1016/j.fishres.2006.04.007openalex-extracted
Including discard data in fisheries stock assessments: Two case studies from south-eastern Australia
inferredcites →https://doi.org/10.1016/j.fishres.2011.01.021openalex-extracted
Estimating natural mortality within a fisheries stock assessment model: An evaluation using simulation analysis based on twelve stock assessments
inferredcites →https://doi.org/10.1016/j.fishres.2011.12.005openalex-extracted
The reliability of estimates of natural mortality from stock assessment models
inferredcites →https://doi.org/10.1016/j.fishres.2012.02.015openalex-extracted
Reply to ‘The reliability of estimates of natural mortality from stock assessment models’
inferredcites →https://doi.org/10.1016/j.fishres.2012.07.025openalex-extracted
A review of integrated analysis in fisheries stock assessment
inferredcites →https://doi.org/10.1016/j.fishres.2012.10.012openalex-extracted
Stock synthesis: A biological and statistical framework for fish stock assessment and fishery management
inferredcites →https://doi.org/10.1016/j.fishres.2016.06.005openalex-extracted
Model-based estimates of effective sample size in stock assessment models using the Dirichlet-multinomial distribution
inferredcites →https://doi.org/10.1016/j.fishres.2016.07.001openalex-extracted
A review of stock assessment packages in the United States
inferredcites →https://doi.org/10.1016/j.fishres.2017.05.015openalex-extracted
How catch underreporting can bias stock assessment of and advice for northwest Atlantic mackerel and a possible resolution using censored catch
inferredcites →https://doi.org/10.1016/j.fishres.2020.105617openalex-extracted
Essential features of the next-generation integrated fisheries stock assessment package: A perspective
inferredcites →https://doi.org/10.1016/j.fishres.2020.105844openalex-extracted
Collating stock assessment packages to improve stock assessments
inferredcites →https://doi.org/10.1046/j.1467-2960.2001.00042.xopenalex-extracted
Estimating uncertainty in fish stock assessment and forecasting
inferredcites →https://doi.org/10.1080/10556788.2011.597854openalex-extracted
AD Model Builder: using automatic differentiation for statistical inference of highly parameterized complex nonlinear models
inferredcites →https://doi.org/10.1086/401873openalex-extracted
Quantitative Laws in Metabolism and Growth
inferredcites →https://doi.org/10.1093/icesjms/fsaa034openalex-extracted
Simulation testing methods for estimating misreported catch in a state-space stock assessment model
inferredcites →https://doi.org/10.1093/icesjms/fsm155openalex-extracted
Precisely wrong or vaguely right: simulations of noisy discard data and trends in fishing effort being included in the stock assessment of North Sea plaice
inferredcites →https://doi.org/10.1111/faf.12181openalex-extracted
Does unreported catch lead to overfishing?
inferredcites →https://doi.org/10.1111/fme.12371openalex-extracted
Recreational sector is the dominant source of fishing mortality for oceanic fishes in the Southeast United States Atlantic Ocean
inferredcites →https://doi.org/10.1139/cjfas-2015-0047openalex-extracted
A state-space stock assessment model for northern cod, including under-reported catches and variable natural mortality rates
inferredcites →https://doi.org/10.1139/cjfas-2015-0398openalex-extracted
Improving stock assessments through data prioritization
inferredcites →https://doi.org/10.1139/f10-051openalex-extracted
Detecting and correcting underreported catches in fish stock assessment: trial of a new method
inferredcites →https://doi.org/10.1371/journal.pone.0201666openalex-extracted
The impact of marine recreational fishing on key fish stocks in European waters
inferredcites →https://doi.org/10.32614/r.manualsopenalex-extracted
R: A Language and Environment for Statistical Computing
inferredcites →https://doi.org/10.7755/fb.119.2-3.5openalex-extracted
A comparison of 4 primary age-structured stock assessment models used in the United States
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.