On the public citation graph

The Challenge of Missing and Uncertain Data

0 signed · 16 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.
Claim with ORCID
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 See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

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

inferredcites →https://doi.org/10.1068/a301547openalex-snapshot
Visualizing Georeferenced Data: Representing Reliability of Health Statistics
inferredcites →https://doi.org/10.1109/infvis.2002.1173145openalex-snapshot
Visualizing data with bounded uncertainty
inferredcites →https://doi.org/10.5555/951087.951127openalex-snapshot
Restorer: a visualization technique for handling missing data

What points at this work

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

inferred← citeshttps://doi.org/10.1007/11555261_68openalex-snapshot
Visualizing Missing Data: Graph Interpretation User Study
inferred← citeshttps://doi.org/10.1007/978-3-319-63962-8_9-1openalex-snapshot
Data Wrangling
inferred← citeshttps://doi.org/10.1007/978-3-319-63962-8_9-2openalex-snapshot
Data Wrangling
inferred← citeshttps://doi.org/10.1007/978-3-319-77525-8_9openalex-snapshot
Data Wrangling
inferred← citeshttps://doi.org/10.1109/gmai.2006.49openalex-snapshot
Visualization of Temporal-Oriented Datasets
inferred← citeshttps://doi.org/10.1109/iciccs53718.2022.9788316openalex-snapshot
Data Wrangling and Visualization for Credibility and Usability
inferred← citeshttps://doi.org/10.1109/time.2006.4openalex-snapshot
Adaptive Interpolation Algorithms for Temporal-Oriented Datasets
inferred← citeshttps://doi.org/10.1109/tvcg.2022.3141605openalex-snapshot
Do You Believe Your (Social Media) Data? A Personal Story on Location Data Biases, Errors, and Plausibility as Well as Their Visualization
inferred← citeshttps://doi.org/10.1109/vis49827.2021.9623328openalex-snapshot
Understanding the Effects of Visualizing Missing Values on Visual Data Exploration
inferred← citeshttps://doi.org/10.1177/1473871611415994openalex-snapshot
Research directions in data wrangling: Visualizations and transformations for usable and credible data
inferred← citeshttps://doi.org/10.3390/hydrology3040040openalex-snapshot
Infilling Monthly Rain Gauge Data Gaps with Satellite Estimates for ASAL of Kenya
inferred← citeshttps://doi.org/10.3808/jei.200600079openalex-snapshot
A Serially Complete U.S. Dataset of Temperature and Precipitation for Decision Support Systems
inferred← citeshttps://doi.org/10.46275/joasc.2015.01.001openalex-snapshot
Development of a long-term (1884-2006) serially complete dataset of U.S. temperatures and precipitation for climate services
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.