On the public citation graph

Market or Markets? Investigating Google Search's Market Shares under Vertical Segmentation

0 signed · 36 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 See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.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/10.1002/asi.20564openalex-extracted
Defining a session on Web search engines
inferredcites →https://doi.org/10.1007/11551362_33openalex-extracted
Importance of HTML Structural Elements and Metadata in Automated Subject Classification
inferredcites →https://doi.org/10.1007/11908678_4openalex-extracted
Link-Local Features for Hypertext Classification
inferredcites →https://doi.org/10.1007/978-3-319-18164-6_8openalex-extracted
Machine Learning-Based Web Documents Categorization by Semantic Graphs
inferredcites →https://doi.org/10.1016/j.eswa.2019.113001openalex-extracted
Website categorization: A formal approach and robustness analysis in the case of e-commerce detection
inferredcites →https://doi.org/10.1016/j.ipm.2007.07.015openalex-extracted
Determining the informational, navigational, and transactional intent of Web queries
inferredcites →https://doi.org/10.1016/j.neucom.2018.08.086openalex-extracted
Visual content-based web page categorization with deep transfer learning and metric learning
inferredcites →https://doi.org/10.1016/j.procs.2019.06.011openalex-extracted
Web Page Classification Using RNN
inferredcites →https://doi.org/10.1016/j.vaccine.2020.10.018openalex-extracted
The sources and correlates of exposure to vaccine-related (mis)information online
inferredcites →https://doi.org/10.1016/s0306-4573(02)00022-5openalex-extracted
Text categorization based on k-nearest neighbor approach for Web site classification
inferredcites →https://doi.org/10.1038/s41562-020-0833-xopenalex-extracted
Exposure to untrustworthy websites in the 2016 US election
inferredcites →https://doi.org/10.1038/s41586-023-06078-5openalex-extracted
Users choose to engage with more partisan news than they are exposed to on Google Search
inferredcites →https://doi.org/10.1093/poq/nfw006openalex-extracted
Filter Bubbles, Echo Chambers, and Online News Consumption
inferredcites →https://doi.org/10.1109/cse.2014.158openalex-extracted
Web Classification Using Deep Belief Networks
inferredcites →https://doi.org/10.1126/sciadv.aay3539openalex-extracted
Evaluating the fake news problem at the scale of the information ecosystem
inferredcites →https://doi.org/10.1145/1277741.1277770openalex-extracted
Information re-retrieval
inferredcites →https://doi.org/10.1145/1458082.1458143openalex-extracted
Understanding the relationship between searchers' queries and information goals
inferredcites →https://doi.org/10.1145/1459352.1459357openalex-extracted
Web page classification
inferredcites →https://doi.org/10.1145/1645953.1645966openalex-extracted
Analyzing and evaluating query reformulation strategies in web search logs
inferredcites →https://doi.org/10.1145/1645953.1645967openalex-extracted
Characterizing and predicting search engine switching behavior
inferredcites →https://doi.org/10.1145/1935826.1935848openalex-extracted
Understanding and predicting personal navigation
inferredcites →https://doi.org/10.1145/2556195.2556221openalex-extracted
Struggling or exploring?
inferredcites →https://doi.org/10.1145/3020165.3020170openalex-extracted
SearchGazer
inferredcites →https://doi.org/10.1145/3178876.3186143openalex-extracted
Auditing the Personalization and Composition of Politically-Related Search Engine Results Pages
inferredcites →https://doi.org/10.1145/3274417openalex-extracted
Auditing Partisan Audience Bias within Google Search
inferredcites →https://doi.org/10.1145/331403.331405openalex-extracted
Analysis of a very large web search engine query log
inferredcites →https://doi.org/10.1145/3419394.3423660openalex-extracted
Mis-shapes, Mistakes, Misfits
inferredcites →https://doi.org/10.1145/792550.792552openalex-extracted
A taxonomy of web search
inferredcites →https://doi.org/10.1145/988672.988699openalex-extracted
Using urls and table layout for web classification tasks
inferredcites →https://doi.org/10.1145/988672.988736openalex-extracted
Web taxonomy integration using support vector machines
inferredcites →https://doi.org/10.1287/mnsc.2018.3246openalex-extracted
Product Quality and Entering Through Tying: Experimental Evidence
inferredcites →https://doi.org/10.1509/jmr.14.0528openalex-extracted
Design of Search Engine Services: Channel Interdependence in Search Engine Results
inferredcites →https://doi.org/10.2307/1340552openalex-extracted
Antitrust Law: An Analysis of Antitrust Principles and Their Application
inferredcites →https://doi.org/10.2478/popets-2022-0053openalex-extracted
Who Knows I Like Jelly Beans? An Investigation Into Search Privacy
inferredcites →https://doi.org/10.3390/app11199210openalex-extracted
Phishing Webpage Classification via Deep Learning-Based Algorithms: An Empirical Study
inferredcites →https://doi.org/10.5167/uzh-215618openalex-extracted
More competitive search through regulation
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.