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Acta Informatica: Science & Overview

Acta Informatica is a peer-reviewed scientific journal, publishing original research papers in computer science.

Language: English [EN]
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Acta Informatica topic overview

The analysis highlights Science and Overview as prominent areas in the source structure around Acta Informatica.

Related topics
11
Source areas
1
Connected nodes
12
Extracted relationships
11
Concept neighborhoods
13
Bridge connections
12

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 · 11 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.

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Publisher
Springer (Germany)
Discipline
Informatics
Edited by
Henning Fernau
Frequency
4/year
History
1971–present
Impact factor
0.871 (2021)

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

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

How Acta Informatica connects Entity context

The extracted context around Acta Informatica shows recurring relationship patterns in the source. For example, Acta Informatica → Informatics Another extracted example is Acta Informatica → Henning Fernau. Use these groups to spot repeated connection types before inspecting the individual relationships.

Acta Informatica

Top relations

Discipline · 1
Acta Informatica → Informatics
Edited by · 1
Acta Informatica → Henning Fernau
Frequency · 1
Acta Informatica → 4/year
History · 1
Acta Informatica → 1971–present
Impact factor · 1
Acta Informatica → 0.871 (2021)
ISO 4 · 1
Acta Informatica → Acta Inform.
ISSN · 1
Acta Informatica → 0001-5903 (print) 1432-0525 (web)
Language · 1
Acta Informatica → English
OCLC no. · 1
Acta Informatica → 39965310
Publisher · 1
Acta Informatica → Springer (Germany)

Important terminology

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

Important terminology

journal papers computer science acta informatica henning fernau 2021 impact factor 871 peer-reviewed editor-in-chief scientific publishing original research mainly known

Acta Informatica relationships Subject–Predicate–Object triples

TTTA extracted 11 structured relationships around Acta Informatica. Examples in this analysis include Acta Informatica → Discipline → Informatics and Acta Informatica → Edited by → Henning Fernau. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
Acta InformaticaDisciplineInformatics1.00infobox
Acta InformaticaEdited byHenning Fernau1.00infobox
Acta InformaticaFrequency4/year1.00infobox
Acta InformaticaHistory1971–present1.00infobox
Acta InformaticaImpact factor0.871 (2021)1.00infobox
Acta InformaticaISO 4Acta Inform.1.00infobox
Acta InformaticaISSN0001-5903 (print) 1432-0525 (web)1.00infobox
Acta InformaticaLanguageEnglish1.00infobox
Acta InformaticaOCLC no.399653101.00infobox
Acta InformaticaPublisherSpringer (Germany)1.00infobox
Acta Informaticais apeer-reviewed scientific journal0.90text

Related concept clusters Concept neighborhoods

The concept neighborhoods around Acta Informatica bring nearby vocabulary together. In this analysis, examples include Informatica, External and Links. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • scientific journal
    • Original
    • Peer-reviewed
    • Publishing
    • Research
    • Acta
    • Computer
    • Informatica
    • Papers
    • Science
    • According
    • Appeared
    • Awarded
  • journal citation reports
    • According
    • Citation
    • Reports
    • Factor
    • Impact
    • Papers
    • Science
    • Appeared
    • Awarded
    • Gödel
    • Journal
    • Known
  • Acta Informatica
    • Informatica
    • External
    • Links
    • Original
    • Peer-reviewed
    • Publishing
    • References
    • Research
    • Scientific
    • Computer
    • Factor
    • Fernau
  • acta informatica
    • Informatica
    • External
    • Links
    • Original
    • Peer-reviewed
    • Publishing
    • References
    • Research
    • Scientific
    • Computer
    • Factor
    • Fernau
  • theoretical computer science
    • Known
    • Mainly
    • Publications
    • Science
    • Computer
    • Original
    • Peer-reviewed
    • Publishing
    • Research
    • Scientific
    • Theoretical
    • Journal
  • computer science
    • Science
    • Known
    • Mainly
    • Original
    • Peer-reviewed
    • Publications
    • Publishing
    • Research
    • Scientific
    • Theoretical
    • Journal
    • Informatica
  • impact factor
    • Factor
    • Impact
    • External
    • Links
    • References
    • Reports
    • Fernau
    • Henning
    • Informatica
    • Journal
  • henning fernau
    • Henning
    • External
    • Links
    • References
    • Trier
    • Universität
    • Factor
    • Impact
    • Informatica

Connections between topic areas Semantic bridges

Bridges highlight paths between different parts of the Acta Informatica map and can reveal research angles that are easy to miss in a flat list.

Min side: 3

Map overview Semantic statistics

Acta Informatica

Nodes13
Edges12
Triples11
Avg. degree1.85
Density0.153846
Components1

Source & methodology

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

Source: Wikipedia — Acta Informatica · EN edition · Analysis: TopicsToTalkAbout

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