On the public citation graph

Determining scientific impact using a collaboration index

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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.

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Who is Accountable?
inferredcites →https://doi.org/10.1016/j.joi.2012.11.006openalex-snapshot
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inferredcites →https://doi.org/10.1038/20743openalex-snapshot
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inferredcites →https://doi.org/10.1038/450001aopenalex-snapshot
Who is accountable?
inferredcites →https://doi.org/10.1038/4501165aopenalex-snapshot
The demise of the lone author
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A longer paper gathers more citations
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Gene chips unmask cryptic diseases
inferredcites →https://doi.org/10.1038/embor.2008.233openalex-snapshot
The state of h index research
inferredcites →https://doi.org/10.1038/embor.2009.74openalex-snapshot
A proposal for calculating weighted citations based on author rank
inferredcites →https://doi.org/10.1038/nature06314openalex-snapshot
Maternal nodal and zebrafish embryogenesis
inferredcites →https://doi.org/10.1073/pnas.0507655102openalex-snapshot
An index to quantify an individual's scientific research output
inferredcites →https://doi.org/10.1073/pnas.0707962104openalex-snapshot
Does the h index have predictive power?
inferredcites →https://doi.org/10.1108/14684520810914043openalex-snapshot
The pros and cons of computing the h‐index using Web of Science
inferredcites →https://doi.org/10.1109/proc.1982.12425openalex-snapshot
On the rationale of maximum-entropy methods
inferredcites →https://doi.org/10.1126/science.1196783openalex-snapshot
Race, Ethnicity, and NIH Research Awards
inferredcites →https://doi.org/10.1126/science.334.6058.899-copenalex-snapshot
Race Disparity in Grants—Response
inferredcites →https://doi.org/10.1136/bmj.312.7043.1423openalex-snapshot
Patient centred model of practice is unsuited to reforms
inferredcites →https://doi.org/10.1136/bmj.312.7043.1423copenalex-snapshot
Relative contribution should be given after each author's name
inferredcites →https://doi.org/10.1136/bmj.312.7043.1423eopenalex-snapshot
Relative contribution should be given after each author's name
inferredcites →https://doi.org/10.1136/bmj.314.7079.0fopenalex-snapshot
Impact factors should not be used for evaluating research
inferredcites →https://doi.org/10.1136/bmj.314.7079.497openalex-snapshot
Why the impact factor of journals should not be used for evaluating research
inferredcites →https://doi.org/10.1214/088342304000000396openalex-snapshot
Permutation Methods: A Basis for Exact Inference
inferredcites →https://doi.org/10.1371/journal.pbio.0050018openalex-snapshot
Author Sequence and Credit for Contributions in Multiauthored Publications
inferredcites →https://doi.org/10.1371/journal.pone.0004021openalex-snapshot
Harmonic Allocation of Authorship Credit: Source-Level Correction of Bibliometric Bias Assures Accurate Publication and Citation Analysis
inferredcites →https://doi.org/10.48550/arxiv.1003.3362openalex-snapshot
Axiomatic Quantification of Co-authors' Relative Contributions

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Counting methods introduced into the bibliometric research literature 1970–2018: A review
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inferred← citeshttps://doi.org/10.3390/medicina59111922openalex-snapshot
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Additional file 1 of A large National Institute for Health Research (NIHR) Biomedical Research Centre facilitates impactful cross-disciplinary and collaborative translational research publications and research collaboration networks: a bibliometric evaluation study
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