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Beall's List: History & Art

Beall's List was a list of predatory open-access publishers that was maintained by University of Colorado Denver librarian Jeffrey Beall on his blog Scholarly Open Access. The list aimed to document open-access publishers who did not perform real peer review, effectively publishing any article as long as the authors pay the article processing charge.…

Language: English [EN]
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Beall's List topic overview

The analysis highlights History and Art as prominent areas in the source structure around Beall's List.

Related topics
34
Source areas
6
Connected nodes
40
Extracted relationships
16
Related term clusters
21
Bridge connections
40

What this topic covers Research coverage

Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.

Overview · 16 topics
Reception · 8 topics
Successors · 5 topics
Early history · 3 topics
Criteria for inclusion · 1 topics
Removal · 1 topics

Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.

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Explore all related topics Closing gaps

Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.

Overview

Early history

Criteria for inclusion

Reception

Removal

Successors

For the semantics nerds

You can skip this section if you’re here for content ideas and keyword inspiration.

Advanced semantic analysis

How Beall's List connects Entity context

The extracted context around Beall's List shows recurring relationship patterns in the source. For example, Beall's List → Cabell's International, CSIR-Structural Engineering Research Centre, European, January, MDPI, Norwegian Scientific Index, Potential Predatory Journals, Publishers, Since, Since Beall's List, Stop Predatory Journals Another extracted example is Beall's List → Beall, Beall's, December, Many, Starting. Use these groups to spot repeated connection types before inspecting the individual relationships.

Beall's List

Top relations

related to Successors · 11
Beall's List → Cabell's International, CSIR-Structural Engineering Research Centre, European, January, MDPI, Norwegian Scientific Index, Potential Predatory Journals, Publishers, Since, Since Beall's List, Stop Predatory Journals
related to history · 5
Beall's List → Beall, Beall's, December, Many, Starting

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

list beall beall's publishers journals predatory university publishing scholarly open-access journal stated open access publisher published blog work 2017 later

Beall's List relationships Subject–Predicate–Object triples

TTTA extracted 16 structured relationships around Beall's List. Examples in this analysis include Beall's List → related to history → Beall and Beall's List → related to history → Starting. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
Beall's Listrelated to historyBeall0.60section
Beall's Listrelated to historyStarting0.60section
Beall's Listrelated to historyBeall's0.60section
Beall's Listrelated to historyDecember0.60section
Beall's Listrelated to historyMany0.60section
Beall's Listrelated to SuccessorsSince Beall's List0.60section
Beall's Listrelated to SuccessorsCSIR-Structural Engineering Research Centre0.60section
Beall's Listrelated to SuccessorsStop Predatory Journals0.60section
Beall's Listrelated to SuccessorsCabell's International0.60section
Beall's Listrelated to SuccessorsSince0.60section
Beall's Listrelated to SuccessorsNorwegian Scientific Index0.60section
Beall's Listrelated to SuccessorsMDPI0.60section

Related concept clusters Related term clusters

The concept neighborhoods around Beall's List bring nearby vocabulary together. In this analysis, examples include List, Work and Predatory. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Beall's List
    • List
    • Work
    • Predatory
    • Publishers
    • Journals
    • Scholarly
    • University
    • Maintained
    • Possible
    • Access
    • Open
    • Journal
  • beall's list
    • List
    • Publishers
    • Predatory
    • Work
    • Journals
    • Open-access
    • Scholarly
    • University
    • Maintained
    • Potential
    • Colorado
    • Probable
  • predatory open-access publishers
    • Publishers
    • Potential
    • Probable
    • Journals
    • Scholarly
    • Possible
    • Maintained
    • Predatory
    • One
    • Stated
    • Term
    • Original
  • jeffrey beall
    • List
    • University
    • Publishers
    • Colorado
    • Predatory
    • Open-access
    • Blog
    • Stated
    • Scholarly
    • One
    • Probable
    • Later
  • open-access publishers
    • Potential
    • Probable
    • Scholarly
    • Possible
    • Publishers
    • Maintained
    • Predatory
    • Stated
    • Journals
    • One
    • Original
    • Review
  • directory of open access journals
    • Open
    • Predatory
    • University
    • Szust
    • Scholarly
    • List
    • Listed
    • Publishers
    • Beall's
    • Editorial
    • Journals
    • Led
  • cabells' predatory reports
    • Publishers
    • Journals
    • Scholarly
    • Probable
    • Possible
    • Maintained
    • Potential
    • One
    • Term
    • Open
    • Stated
    • Publishing
  • black list
    • Publishers
    • Predatory
    • Journals
    • Open-access
    • Scholarly
    • University
    • Maintained
    • Potential
    • Colorado
    • Probable
    • Possible
    • Open

Connections between topic areas Semantic bridges

For Beall's List, one of the stronger structural bridges in this analysis connects Beall's List with Overview. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.

Min side: 3
Beall's List — Overview · splits 24 ⟂ 17
Beall's List — Reception · splits 32 ⟂ 9
Beall's List — Successors · splits 35 ⟂ 6
Beall's List — Early history · splits 37 ⟂ 4

Map overview Semantic statistics

Beall's List

Nodes41
Edges40
Triples16
Avg. degree1.95
Density0.04878
Components1

Source & methodology

TTTA analyzes the structure around Beall's List to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History & Art, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Beall's List · EN edition · Analysis: TopicsToTalkAbout

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