Research any topic before you write.
Find related topics. | Discover entities. | See connections. | Build a topical map.
IEEE Internet Computing is a bimonthly peer-reviewed scientific journal published by the IEEE Computer Society. It covers all aspects of emerging and maturing Internet technologies. The editor-in-chief is Weisong Shi (University of Delaware). According to the Journal Citation Reports, the journal has a 2017 impact factor of 1.929.
The analysis highlights Standards and Science as prominent areas in the source structure around IEEE Internet Computing.
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 IEEE Internet Computing shows recurring relationship patterns in the source. For example, IEEE Internet Computing → IICOFX Another extracted example is IEEE Internet Computing → Computer science. 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.
internet journal ieee computing bimonthly computer society weisong shi 2017 impact factor 929 peer-reviewed editor-in-chief scientific published covers aspects emerging
TTTA extracted 12 structured relationships around IEEE Internet Computing. Examples in this analysis include IEEE Internet Computing → CODEN → IICOFX and IEEE Internet Computing → Discipline → Computer science. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| IEEE Internet Computing | CODEN | IICOFX | 1.00 | infobox |
| IEEE Internet Computing | Discipline | Computer science | 1.00 | infobox |
| IEEE Internet Computing | Edited by | Weisong Shi | 1.00 | infobox |
| IEEE Internet Computing | Frequency | Bimonthly | 1.00 | infobox |
| IEEE Internet Computing | History | 1997–present | 1.00 | infobox |
| IEEE Internet Computing | Impact factor | 1.929 (2017) | 1.00 | infobox |
| IEEE Internet Computing | ISO 4 | IEEE Internet Comput. | 1.00 | infobox |
| IEEE Internet Computing | ISSN | 1089-7801 (print) 1541-4922 (web) | 1.00 | infobox |
| IEEE Internet Computing | Language | English | 1.00 | infobox |
| IEEE Internet Computing | LCCN | 97652860 | 1.00 | infobox |
| IEEE Internet Computing | Publisher | IEEE Computer Society | 1.00 | infobox |
| IEEE Internet Computing | is a | bimonthly peer-reviewed scientific journal published by the IEEE Computer Society | 0.90 | text |
The concept neighborhoods around IEEE Internet Computing bring nearby vocabulary together. In this analysis, examples include Bimonthly, Computer and Computing. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Bridges highlight paths between different parts of the IEEE Internet Computing map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around IEEE Internet Computing to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Standards & Science, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — IEEE Internet Computing · EN edition · Analysis: TopicsToTalkAbout