Research any topic before you write.
Find related topics. | Discover entities. | See connections. | Build a topical map.
Computers in Human Behavior is a monthly peer-reviewed academic journal covering human-computer interaction and cyberpsychology. It was established in 1985 and is published by Elsevier. The editor-in-chief is Matthieu Guitton (Laval University). In 2020, the journal launched a companion gold open-access peer-reviewed title, Computers in Human Behavior…
The analysis highlights Abstracting and indexing and Overview as prominent areas in the source structure around Computers in Human Behavior.
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.
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.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
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.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
The extracted context around Computers in Human Behavior shows recurring relationship patterns in the source. For example, Computers in Human Behavior → Computer science, human–computer interaction, cyberpsychology Another extracted example is Computers in Human Behavior → Matthieu Guitton. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
journal computers human behavior peer-reviewed cyberpsychology elsevier launched monthly interaction 1985 matthieu guitton reports impact factor 2024 editor-in-chief academic covering
TTTA extracted 10 structured relationships around Computers in Human Behavior. Examples in this analysis include Computers in Human Behavior → Discipline → Computer science, human–computer interaction, cyberpsychology and Computers in Human Behavior → Edited by → Matthieu Guitton. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Computers in Human Behavior | Discipline | Computer science, human–computer interaction, cyberpsychology | 1.00 | infobox |
| Computers in Human Behavior | Edited by | Matthieu Guitton | 1.00 | infobox |
| Computers in Human Behavior | Frequency | Monthly | 1.00 | infobox |
| Computers in Human Behavior | History | 1985–present | 1.00 | infobox |
| Computers in Human Behavior | Impact factor | 8.9 (2024) | 1.00 | infobox |
| Computers in Human Behavior | ISO 4 | Comput. Hum. Behav. | 1.00 | infobox |
| Computers in Human Behavior | ISSN | 0747-5632 | 1.00 | infobox |
| Computers in Human Behavior | Language | English | 1.00 | infobox |
| Computers in Human Behavior | Publisher | Elsevier | 1.00 | infobox |
| Computers in Human Behavior | is a | monthly peer-reviewed academic journal covering human-computer interaction and cyberpsychology | 0.90 | text |
The concept neighborhoods around Computers in Human Behavior bring nearby vocabulary together. In this analysis, examples include Behavior, Computers and Human. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Computers in Human Behavior, one of the stronger structural bridges in this analysis connects Computers in Human Behavior 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.
TTTA analyzes the structure around Computers in Human Behavior to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Abstracting and indexing & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Computers in Human Behavior · EN edition · Analysis: TopicsToTalkAbout