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David Gallagher: Career, Art & Products

David Lee Gallagher (born February 9, 1985) is an American actor and former model. He began his career as a child actor and model at the age of two, and is known for his roles as Mikey Ubriacco in Look Who's Talking Now, Simon Camden in 7th Heaven, Kevin Harper in Angels in the Endzone, Richie Rich in Richie Rich's Christmas Wish, and Riku in the Kingdom…

Language: English [EN]
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David Gallagher topic overview

The analysis highlights Career, Art and Products as prominent areas in the source structure around David Gallagher.

Related topics
38
Source areas
4
Connected nodes
42
Extracted relationships
8
Concept neighborhoods
12
Bridge connections
42

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.

Career · 22 topics
Overview · 11 topics
Early life · 4 topics
Personal life · 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.

Key facts & relationships

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

Born
(1985-02-09) February 9, 1985 (age 41) New York City, U.S.
Children
2
Occupations
Actor · model
Years active
1987–present

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 life

Career

Personal life

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 David Gallagher connects Entity context

The extracted context around David Gallagher shows recurring relationship patterns in the source. For example, David Gallagher → Actor, model Another extracted example is David Gallagher → (1985-02-09) February 9, 1985 (age 41) New York City, U.S.. Use these groups to spot repeated connection types before inspecting the individual relationships.

David Gallagher

Top relations

Occupations · 2
David Gallagher → Actor, model
Born · 1
David Gallagher → (1985-02-09) February 9, 1985 (age 41) New York City, U.S.
Children · 1
David Gallagher → 2
Years active · 1
David Gallagher → 1987–present
related to External links · 1
David Gallagher → IMDb

Important terminology

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

Important terminology

gallagher actor series awards 7th young artist model drama tv heaven television career best film born 2003 several performance age

David Gallagher relationships Subject–Predicate–Object triples

TTTA extracted 8 structured relationships around David Gallagher. Examples in this analysis include David Gallagher → Born → (1985-02-09) February 9, 1985 (age 41) New York City, U.S. and David Gallagher → Children → 2. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
David GallagherBorn(1985-02-09) February 9, 1985 (age 41) New York City, U.S.1.00infobox
David GallagherChildren21.00infobox
David GallagherOccupationsActor1.00infobox
David GallagherOccupationsmodel1.00infobox
David GallagherYears active1987–present1.00infobox
Tyson Foodsinstance ofhe appeared in several television commercials for products0.80text
Fisher-Priceinstance ofhe appeared in several television commercials for products0.80text
David Gallagherrelated to External linksIMDb0.60section

Related concept clusters Concept neighborhoods

The concept neighborhoods around David Gallagher bring nearby vocabulary together. In this analysis, examples include Born, February and Former. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • David Gallagher
    • Born
    • February
    • Former
    • Model
    • Film
    • 7th
    • Gallagher
    • Season
    • Heaven
    • Actor
    • Award
    • Began
  • david gallagher
    • Born
    • February
    • Former
    • Model
    • Film
    • 7th
    • Gallagher
    • Season
    • Heaven
    • Actor
    • Award
    • Began
  • child actor
    • Awards
    • Drama
    • Tv
    • Best
    • Artist
    • Young
    • Model
    • Series
    • Performance
    • Began
    • Born
    • Age
  • 7th heaven
    • Heaven
    • Roles
    • Season
    • Series
    • Gallagher
    • Look
    • Mikey
    • Riku
    • Talking
    • Ubriacco
    • Who's
    • Began
  • career
    • Award
    • Model
    • Look
    • Mikey
    • Riku
    • Roles
    • Talking
    • Ubriacco
    • Who's
    • Choice
    • Christmas
    • Teen
  • look who's talking now
    • Look
    • Mikey
    • Talking
    • Ubriacco
    • Who's
    • Christmas
    • Began
    • Riku
    • Roles
    • Age
    • Career
    • Model
  • young artist award
    • Artist
    • Young
    • Best
    • Career
    • Performance
    • Awards
    • Tv
    • Series
    • Actor
    • Born
    • Drama
    • Choice
  • model
    • Award
    • Look
    • Mikey
    • Riku
    • Roles
    • Talking
    • Ubriacco
    • Who's
    • Christmas
    • Two
    • Film
    • Heaven

Connections between topic areas Semantic bridges

For David Gallagher, one of the stronger structural bridges in this analysis connects David Gallagher with Career. 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
David GallagherCareer · splits 20 ⟂ 23
David GallagherOverview · splits 31 ⟂ 12
David GallagherEarly life · splits 38 ⟂ 5

Map overview Semantic statistics

David Gallagher

Nodes43
Edges42
Triples8
Avg. degree1.95
Density0.046512
Components1

Source & methodology

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

Source: Wikipedia — David Gallagher · EN edition · Analysis: TopicsToTalkAbout

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