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Earth, Moon, and Planets: History, Science & Art
Earth, Moon, and Planets is a peer-reviewed scientific journal, published approximately ten times per year by Springer Science+Business Media. It was established in 1969 under the title The Moon, was known as The Moon and the Planets from 1978 to 1983, and was first published under the current title in February 1984. The editor-in-chief is Jamie D.…
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Earth, Moon, and Planets topic overview
The analysis highlights History, Science and Art as prominent areas in the source structure around Earth, Moon, and Planets.
Related topics
33
Source areas
4
Connected nodes
37
Extracted relationships
42
Related term clusters
18
Bridge connections
37
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.
Abstracting and indexing · 12 topics
Aims and scope · 8 topics
History · 7 topics
Overview · 6 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.
Publisher
Springer Science+Business Media (Germany)
CODEN
EMPLD3
Discipline
Planetary science
Edited by
J.D. Gilmour
Former names
The Moon, The Moon and the Planets
Frequency
8/year
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Earth, Moon, and Planets
6Peer review · Scientific journal · Springer Science+Business Media
A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.
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.
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Advanced semantic analysis
How Earth, Moon, and Planets connects Entity context
Entity context groups extracted connections by relationship type. Counts show recurrence in the analyzed source; the examples are research signals, not claims about importance.
The extracted context around Earth, Moon, and Planets shows recurring relationship patterns in the source. For example, Earth, Moon, and Planets → Apollo, Bailey, Dutch, Earth, Editors-in-Chief, Gilmour, Giovanni Valsecchi, Gudipati, Hannes Alfvén, Harold Urey, Jamie, Kluwer, Mark, Moon, Moon Landing, Murthy, Planets, Reidel, Springer Nature, The Moon Another extracted example is Earth, Moon, and Planets → Earth, Moon, Planets, Research, Solar System, Solar System-Earth. Use these groups to spot repeated connection types before inspecting the individual relationships.
Earth, Moon, and Planets
Top relations
related to history· 22
Earth, Moon, and Planets → Apollo, Bailey, Dutch, Earth, Editors-in-Chief, Gilmour, Giovanni Valsecchi, Gudipati, Hannes Alfvén, Harold Urey, Jamie, Kluwer, Mark, Moon, Moon Landing, Murthy, Planets, Reidel, Springer Nature, The Moon
related to Aims and scope· 6
Earth, Moon, and Planets → Earth, Moon, Planets, Research, Solar System, Solar System-Earth
CODEN· 1
Earth, Moon, and Planets → EMPLD3
Discipline· 1
Earth, Moon, and Planets → Planetary science
Edited by· 1
Earth, Moon, and Planets → J.D. Gilmour
Former names· 1
Earth, Moon, and Planets → The Moon, The Moon and the Planets
Frequency· 1
Earth, Moon, and Planets → 8/year
History· 1
Earth, Moon, and Planets → 1969–present
Impact factor· 1
Earth, Moon, and Planets → 0.667 (2018)
ISO 4· 1
Earth, Moon, and Planets → Earth Moon Planets
Important terminology
Frequent words and multi-word phrases across the lead, headings, infobox and body. Useful for terminology coverage.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
Earth, Moon, and Planets relationships Subject–Predicate–Object triples
Relationships are represented as Subject → Predicate → Object triples. Confidence describes extraction strength, not the real-world importance of a relationship; lower-confidence rows may be contextual rather than explicit.
TTTA extracted 42 structured relationships around Earth, Moon, and Planets. Examples in this analysis include Earth, Moon, and Planets → CODEN → EMPLD3 and Earth, Moon, and Planets → Discipline → Planetary science. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Earth, Moon, and Planets
CODEN
EMPLD3
1.00
infobox
Earth, Moon, and Planets
Discipline
Planetary science
1.00
infobox
Earth, Moon, and Planets
Edited by
J.D. Gilmour
1.00
infobox
Earth, Moon, and Planets
Former names
The Moon, The Moon and the Planets
1.00
infobox
Earth, Moon, and Planets
Frequency
8/year
1.00
infobox
Earth, Moon, and Planets
History
1969–present
1.00
infobox
Earth, Moon, and Planets
Impact factor
0.667 (2018)
1.00
infobox
Earth, Moon, and Planets
ISO 4
Earth Moon Planets
1.00
infobox
Earth, Moon, and Planets
ISSN
0167-9295 (print) 1573-0794 (web)
1.00
infobox
Earth, Moon, and Planets
Language
English
1.00
infobox
Earth, Moon, and Planets
LCCN
84643883
1.00
infobox
Earth, Moon, and Planets
OCLC no.
10610068
1.00
infobox
Earth, Moon, and Planets
Publisher
Springer Science+Business Media (Germany)
1.00
infobox
Earth, Moon, and Planets
is a
peer-reviewed scientific journal
0.90
text
No triples extracted yet.
Related concept clusters Related term clusters
Related term clusters group terms that sit near one another in the extracted graph. They are useful for discovering adjacent language and context, but proximity does not by itself imply a factual relationship.
The concept neighborhoods around Earth, Moon, and Planets bring nearby vocabulary together. In this analysis, examples include Planets, Moon and Science. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Earth, Moon, and Planets
Planets
Moon
Science
Journal
Articles
Business
History
Impact
Media
Planetary
Sciences
Original
earth, moon, and planets
Planets
Moon
Journal
Science
Year
Articles
Business
History
Impact
Media
Planetary
Sciences
scientific journal
Moon
Name
System
Planets
Science
Springer
Year
Sciences
Solar
Research
Peer-reviewed
Scientific
springer science+business media
Media
Publisher
Springer
Year
Peer-reviewed
Scientific
History
Science
Impact
Earth
Gilmour
Planets
solar system
Solar
System
Journal
Research
Articles
Chemical
Current
Earth
Focus
Impact
Journal's
Physical
astrophysics data system
Solar
Journal
Research
Articles
Chemical
Current
Earth
Focus
Journal's
Physical
Planets
Sciences
international nuclear information system
Solar
Journal
Research
Articles
Chemical
Current
Earth
Focus
Journal's
Physical
Planets
Sciences
science citation index
History
Springer
Year
Scientific
Chemical
Current
Fields
Impact
Physical
Planetary
Publisher
Sciences
Connections between topic areas Semantic bridges
Semantic bridges connect parts of the graph that would otherwise be more separate. A bridge is a structural signal in this analysis, not a claim that the two topic areas are equivalent.
For Earth, Moon, and Planets, one of the stronger structural bridges in this analysis connects Earth, Moon, and Planets with Abstracting and indexing. 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
Earth, Moon, and Planets — Abstracting and indexing· splits 25 ⟂ 13Earth, Moon, and Planets — Aims and scope· splits 29 ⟂ 9Earth, Moon, and Planets — History· splits 30 ⟂ 8Earth, Moon, and Planets — Overview· splits 31 ⟂ 7
Map overview Semantic statistics
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
Earth, Moon, and Planets
Nodes38
Edges37
Triples42
Avg. degree1.95
Density0.052632
Components1
Source & methodology
TTTA analyzes the structure around Earth, Moon, and Planets to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Science & Art, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
