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Pattern Recognition is a single blind peer-reviewed academic journal published by Elsevier Science. It was first published in 1968 by Pergamon Press. The founding editor-in-chief was Robert Ledley, who was succeeded from 2009 until 2016 by Ching Suen of Concordia University. As of 2026 the editors-in-chief are Zoran Duric and Petia Radeva. The journal…
The analysis highlights Science, Abstracting and indexing and Overview as prominent areas in the source structure around Pattern Recognition (journal).
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 Pattern Recognition (journal) shows recurring relationship patterns in the source. For example, Pattern Recognition (journal) → Petia Radeva, Zoran Duric Another extracted example is Pattern Recognition (journal) → PTNRA8. 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 pattern recognition published computer science vision currently scopus elsevier 1968 zoran duric petia radeva impact factor 196 biometrics biomedical
TTTA extracted 12 structured relationships around Pattern Recognition (journal). Examples in this analysis include Pattern Recognition (journal) → CODEN → PTNRA8 and Pattern Recognition (journal) → Discipline → Artificial intelligence, computer science, pattern recognition. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Pattern Recognition (journal) | CODEN | PTNRA8 | 1.00 | infobox |
| Pattern Recognition (journal) | Discipline | Artificial intelligence, computer science, pattern recognition | 1.00 | infobox |
| Pattern Recognition (journal) | Edited by | Zoran Duric | 1.00 | infobox |
| Pattern Recognition (journal) | Edited by | Petia Radeva | 1.00 | infobox |
| Pattern Recognition (journal) | Frequency | Monthly | 1.00 | infobox |
| Pattern Recognition (journal) | History | 1968–present | 1.00 | infobox |
| Pattern Recognition (journal) | Impact factor | 7.196 (2019) | 1.00 | infobox |
| Pattern Recognition (journal) | ISO 4 | Pattern Recognit. | 1.00 | infobox |
| Pattern Recognition (journal) | ISSN | 0031-3203 (print) 1873-5142 (web) | 1.00 | infobox |
| Pattern Recognition (journal) | Language | English | 1.00 | infobox |
| Pattern Recognition (journal) | LCCN | 78004311 | 1.00 | infobox |
| Pattern Recognition (journal) | Publisher | Elsevier Science | 1.00 | infobox |
The concept neighborhoods around Pattern Recognition (journal) bring nearby vocabulary together. In this analysis, examples include Recognition, Computer and Journal. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Pattern Recognition (journal), one of the stronger structural bridges in this analysis connects Pattern Recognition (journal) 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 Pattern Recognition (journal) to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Science, 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 — Pattern Recognition (journal) · EN edition · Analysis: TopicsToTalkAbout