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Patlabor: Art, Legacy & Science

Mobile Police Patlabor (Japanese: 機動警察パトレイバー, Hepburn: Kidō Keisatsu Patoreibā), also known as Patlabor (a portmanteau of "patrol" and "labor"), is a Japanese science fiction media franchise in the mecha genre. It is produced by Headgear, an artist collective consisting of manga artist Masami Yūki, director Mamoru Oshii, screenwriter Kazunori Itō, mecha…

Language: English [EN]
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Patlabor topic overview

The analysis highlights Art, Legacy and Science as prominent areas in the source structure around Patlabor.

Related topics
74
Source areas
7
Connected nodes
81
Extracted relationships
188
Concept neighborhoods
21
Bridge connections
81

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 · 28 topics
Media · 14 topics
Licensing · 10 topics
Reception and legacy · 8 topics
Headgear · 6 topics
Production · 6 topics
Plot · 2 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.

Genre
Action comedy · Mecha · Science fiction
Created by
Headgear
Directed by
Mamoru Oshii · Kenji Kamiyama · Yasuhiro Yoshiura
English publisher
NA: Viz Media (dropped)
Episodes
7 (List of episodes)
Further information
AUS: Madman Entertainment · NA: Central Park Media (former)Maiden Japan (former)Discotek Media (current) · Central Park Media (former) · Maiden Japan (former) · Discotek Media (current)

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

Plot

Production

Media

Licensing

Headgear

Reception and legacy

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 Patlabor connects Entity context

The extracted context around Patlabor shows recurring relationship patterns in the source. For example, Patlabor → April, August, Come Back Mini-Pato, Family Computer Disk System, Game Boy, Game Edition, Griffon-hen, January, Japan, Kidō Keisatsu Patlabor, Mega Drive, Most, Nerawareta Machi, November, October, PC Engine Super CD-ROM², PlayStation, PlayStation Portable, September, Shiki Kidou Seyo Another extracted example is Patlabor → Akira Izumino, AV-98 Ingrams, Captain Keiji Gotōda, Deck-up, Ekaterina Krachevna Kankaeva, Erina Mano, Even, Ingram, Japan, Kasha, Mamoru Oshii, OVA, Rina Oota, Seiji Fukushi, Shigeo Shiba, Shigeru Chiba, The Next Generation, Tokyo Motorcycle Show, Toshio Kakei, Yūma Shiobara. Use these groups to spot repeated connection types before inspecting the individual relationships.

Patlabor

Top relations

related to Video games · 25
Patlabor → April, August, Come Back Mini-Pato, Family Computer Disk System, Game Boy, Game Edition, Griffon-hen, January, Japan, Kidō Keisatsu Patlabor, Mega Drive, Most, Nerawareta Machi, November, October, PC Engine Super CD-ROM², PlayStation, PlayStation Portable, September, Shiki Kidou Seyo
related to Live-action series · 20
Patlabor → Akira Izumino, AV-98 Ingrams, Captain Keiji Gotōda, Deck-up, Ekaterina Krachevna Kankaeva, Erina Mano, Even, Ingram, Japan, Kasha, Mamoru Oshii, OVA, Rina Oota, Seiji Fukushi, Shigeo Shiba, Shigeru Chiba, The Next Generation, Tokyo Motorcycle Show, Toshio Kakei, Yūma Shiobara
related to Headgear · 18
Patlabor → Akemi Takada, Along, Headgear, Headgear's, Heddogia, Japanese, Kazunori Itō, Kenji Kamiyama, Kenji Kawai, Mamoru Oshii, Masami Yūki, Miki Tori, Naoyuki Yoshinaga, Other, OVA Twilight, Takayama Fumihiko, The, Yutaka Izubuchi
related to Licensing · 17
Patlabor → Bandai Visual, Central Park Media, DVD, Geneon Entertainment, Japan, Manga Entertainment, Mini-Pato, OVAs, Overseas, Patlabor EZY, Pioneer, The, TV, Two, US Manga Corps, Viz, Viz Communications
related to Plot · 17
Patlabor → Detectives Hata, Division, Due, Early Days OVA, Kusumi, Labor, Labors, Masami Yūki's, Mecha, New Files OVA, Noa Izumi, The, The Tokyo Metropolitan Police, The TV, Tokyo Metropolitan Police Special, TV, Vehicle Section
related to Reception and legacy · 16
Patlabor → Against, Critic Naoya Fujita, Cultural Affairs, However, In, Japan's Agency, JSDF, Mamoru Oshii's, OVA, OVAs, Patlabor's, Reactor Magazine, The, The Early Days, Tim Maughan, TV
related to Production · 14
Patlabor → Akemi Takada, Although, Gundam, Headgear, In, Kazunori Itō, Mamoru Oshii, Masami Yūki, Oshii, Patlabor EZY, The, Yoshiyuki Tomino, Yutaka Izubuchi, Yūki
Further information · 12
Patlabor → 12 minutes (#2), 12 minutes (#3), 14 minutes (#1), AUS: Madman Entertainment, Central Park Media (former), Discotek Media (current), Kazunori Itō, Maiden Japan (former), NA: Central Park Media (former)Maiden Japan (former)Discotek Media (current), Studio Khara, Studio Rikka, Yasuhiro Yoshiura
Licensed by · 6
Patlabor → AUS: Madman Entertainment, Central Park Media (former), Discotek Media (current), Maiden Japan (former), NA: Central Park Media (former)Maiden Japan (former)Discotek Media (current), UK: MVM Films
Written by · 5
Patlabor → Kazunori Itō, Mamoru Oshii, Masami Yūki, Michiko Yokote, Yasuhiro Yoshiura

Important terminology

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

Important terminology

series mecha manga police tv ova anime released tokyo movie headgear also oshii new place mamoru generation mobile early days

Patlabor relationships Subject–Predicate–Object triples

TTTA extracted 188 structured relationships around Patlabor. Examples in this analysis include Patlabor → Created by → Headgear and Patlabor → Directed by → Mamoru Oshii. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
PatlaborCreated byHeadgear1.00infobox
PatlaborDirected byMamoru Oshii1.00infobox
PatlaborDirected byKenji Kamiyama1.00infobox
PatlaborDirected byYasuhiro Yoshiura1.00infobox
PatlaborEnglish publisherNA: Viz Media (dropped)1.00infobox
PatlaborEpisodes7 (List of episodes)1.00infobox
PatlaborFurther informationAUS: Madman Entertainment1.00infobox
PatlaborFurther informationNA: Central Park Media (former)Maiden Japan (former)Discotek Media (current)1.00infobox
PatlaborFurther informationCentral Park Media (former)1.00infobox
PatlaborFurther informationMaiden Japan (former)1.00infobox
PatlaborFurther informationDiscotek Media (current)1.00infobox
PatlaborFurther information14 minutes (#1)1.00infobox
PatlaborFurther information12 minutes (#2)1.00infobox
PatlaborFurther information12 minutes (#3)1.00infobox
PatlaborFurther informationYasuhiro Yoshiura1.00infobox
PatlaborFurther informationKazunori Itō1.00infobox
PatlaborFurther informationStudio Khara1.00infobox
PatlaborFurther informationStudio Rikka1.00infobox
PatlaborGenreAction comedy1.00infobox
PatlaborGenreMecha1.00infobox
PatlaborGenreScience fiction1.00infobox
PatlaborImprintShōnen Sunday Comics1.00infobox
PatlaborImprintFujimi Fantasia Bunko1.00infobox
PatlaborLicensed byAUS: Madman Entertainment1.00infobox
PatlaborLicensed byNA: Central Park Media (former)Maiden Japan (former)Discotek Media (current)1.00infobox
PatlaborLicensed byCentral Park Media (former)1.00infobox
PatlaborLicensed byMaiden Japan (former)1.00infobox
PatlaborLicensed byDiscotek Media (current)1.00infobox
PatlaborLicensed byUK: MVM Films1.00infobox
PatlaborMagazineWeekly Shōnen Sunday1.00infobox

Related concept clusters Concept neighborhoods

The concept neighborhoods around Patlabor bring nearby vocabulary together. In this analysis, examples include Series, Ova and Oshii. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Patlabor
    • Series
    • Ova
    • Oshii
    • Police
    • Movie
    • Japan
    • Mamoru
    • Place
    • Anime
    • Ezy
    • Tokyo
    • Days
  • patlabor
    • Series
    • Ova
    • Oshii
    • Police
    • Movie
    • Japan
    • Mamoru
    • Place
    • Anime
    • Ezy
    • Tokyo
    • Days
  • mecha genre
    • Anime
    • Police
    • Yūki
    • Story
    • Patlabor
    • Files
    • Tokyo
    • Tv
    • Days
    • Early
    • Itō
    • Kazunori
  • masami yūki
    • Headgear
    • Itō
    • Kazunori
    • Mamoru
    • Oshii
    • Anime
    • Mecha
    • Manga
    • Police
    • New
    • Tokyo
    • Files
  • mamoru oshii
    • Oshii
    • Next
    • Generation
    • Itō
    • Kazunori
    • Yūki
    • Place
    • Anime
    • Movie
    • Patlabor
    • Tokyo
    • Movies
  • kazunori itō
    • Itō
    • Kazunori
    • Mamoru
    • Oshii
    • Yūki
    • Mobile
    • Manga
    • Place
    • Anime
    • Ezy
    • Next
    • Original
  • mecha
    • Anime
    • Police
    • Yūki
    • Story
    • Patlabor
    • Files
    • Tokyo
    • Tv
    • Days
    • Early
    • Itō
    • Kazunori
  • tokyo metropolitan police
    • Generation
    • Movie
    • Next
    • Tokyo
    • Set
    • Division
    • Story
    • Series
    • Ezy
    • Japan
    • New
    • Original

Connections between topic areas Semantic bridges

For Patlabor, one of the stronger structural bridges in this analysis connects Patlabor 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.

Min side: 3
PatlaborOverview · splits 53 ⟂ 29
PatlaborMedia · splits 67 ⟂ 15
PatlaborLicensing · splits 71 ⟂ 11
PatlaborReception and legacy · splits 73 ⟂ 9
PatlaborProduction · splits 75 ⟂ 7
PatlaborHeadgear · splits 75 ⟂ 7
PatlaborPlot · splits 79 ⟂ 3

Map overview Semantic statistics

Patlabor

Nodes82
Edges81
Triples188
Avg. degree1.98
Density0.02439
Components1

Source & methodology

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

Source: Wikipedia — Patlabor · EN edition · Analysis: TopicsToTalkAbout

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