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Mathematical Programming: Science, Abstracting and indexing & Overview

Mathematical Programming is a peer-reviewed scientific journal that was established in 1971 and is published by Springer Science+Business Media. It is the official journal of the Mathematical Optimization Society and consists of two series: A and B. The "A" series contains general publications, the "B" series focuses on topical mathematical programming…

Language: English [EN]
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Mathematical Programming topic overview

The analysis highlights Science, Abstracting and indexing and Overview as prominent areas in the source structure around Mathematical Programming.

Related topics
30
Source areas
2
Connected nodes
32
Extracted relationships
29
Concept neighborhoods
18
Bridge connections
32

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 · 21 topics
Overview · 9 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
Discipline
Mathematics, Computer Science
Edited by
Jon Lee (series A), Sven Leyffer (series B)
Former name
Mathematical Programming Studies
History
1972–present
Impact factor
2.823 (2019)

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

Abstracting and indexing

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 Mathematical Programming connects Entity context

The extracted context around Mathematical Programming shows recurring relationship patterns in the source. For example, Mathematical Programming → ABI/INFORMABS Academic Journal Quality, Abstracts, Chemical, Earth SciencesCurrent Index, GuideAcademic OneFileAcademic SearchCompendexComputer Science, IndexCurrent AbstractsCurrent Contents/Physical, IndexScopusTOC PremierVINITI Database RASZentralblatt, Library ProjectDigital Mathematics RegistryGeoRefInternational, MATH, Operations ResearchMathematical ReviewsPASCALScience Citation, StatisticsDigital Bibliography Another extracted example is Mathematical Programming → January, Mathematical Programming Studies, Series, Springer, The. Use these groups to spot repeated connection types before inspecting the individual relationships.

Mathematical Programming

Top relations

related to Abstracting and indexing · 11
Mathematical Programming → ABI/INFORMABS Academic Journal Quality, Abstracts, Chemical, Earth SciencesCurrent Index, GuideAcademic OneFileAcademic SearchCompendexComputer Science, IndexCurrent AbstractsCurrent Contents/Physical, IndexScopusTOC PremierVINITI Database RASZentralblatt, Library ProjectDigital Mathematics RegistryGeoRefInternational, MATH, Operations ResearchMathematical ReviewsPASCALScience Citation, StatisticsDigital Bibliography
related to history · 5
Mathematical Programming → January, Mathematical Programming Studies, Series, Springer, The
Discipline · 1
Mathematical Programming → Mathematics, Computer Science
Edited by · 1
Mathematical Programming → Jon Lee (series A), Sven Leyffer (series B)
Former name · 1
Mathematical Programming → Mathematical Programming Studies
History · 1
Mathematical Programming → 1972–present
Impact factor · 1
Mathematical Programming → 2.823 (2019)
ISO 4 · 1
Mathematical Programming → Math. Program.
ISSN · 1
Mathematical Programming → 0025-5610 (print) 1436-4646 (web)
Language · 1
Mathematical Programming → English

Important terminology

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

Important terminology

mathematical journal series programming springer science business media jon lee sven leyffer history published official access mathematics computer studies impact

Mathematical Programming relationships Subject–Predicate–Object triples

TTTA extracted 29 structured relationships around Mathematical Programming. Examples in this analysis include Mathematical Programming → Discipline → Mathematics, Computer Science and Mathematical Programming → Edited by → Jon Lee (series A), Sven Leyffer (series B). The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
Mathematical ProgrammingDisciplineMathematics, Computer Science1.00infobox
Mathematical ProgrammingEdited byJon Lee (series A), Sven Leyffer (series B)1.00infobox
Mathematical ProgrammingFormer nameMathematical Programming Studies1.00infobox
Mathematical ProgrammingHistory1972–present1.00infobox
Mathematical ProgrammingImpact factor2.823 (2019)1.00infobox
Mathematical ProgrammingISO 4Math. Program.1.00infobox
Mathematical ProgrammingISSN0025-5610 (print) 1436-4646 (web)1.00infobox
Mathematical ProgrammingLanguageEnglish1.00infobox
Mathematical ProgrammingLCCN746186431.00infobox
Mathematical ProgrammingOCLC no.15859891.00infobox
Mathematical ProgrammingOpen accessHybrid1.00infobox
Mathematical ProgrammingPublisherSpringer Science+Business Media1.00infobox
Mathematical Programmingis apeer-reviewed scientific journal that was established in 1971 and is published by Springer Science0.90text

Related concept clusters Concept neighborhoods

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

  • Mathematical Programming
    • Programming
    • Journal
    • Series
    • Science
    • Business
    • Computer
    • Factor
    • Impact
    • Math
    • Mathematics
    • Media
    • Studies
  • mathematical programming
    • Programming
    • Science
    • Journal
    • Series
    • Computer
    • Factor
    • Impact
    • Math
    • Mathematics
    • Media
    • Studies
    • Business
  • springer science+business media
    • Media
    • Computer
    • Factor
    • Impact
    • Math
    • Mathematics
    • Science
    • Springer
    • Abstracting
    • Established
    • History
    • Peer-reviewed
  • mathematical optimization society
    • Society
    • Two
    • Programming
    • Journal
    • Series
    • Science
    • Business
    • Computer
    • Factor
    • Impact
    • Math
    • Mathematics
  • mathematical reviews
    • Programming
    • Journal
    • Series
    • Science
    • Business
    • Computer
    • Factor
    • Impact
    • Math
    • Mathematics
    • Media
    • Studies
  • scientific journal
    • Mathematical
    • Programming
    • Published
    • Science
    • Springer
    • Series
    • Consists
    • Established
    • Optimization
    • Peer-reviewed
    • Scientific
    • Society
  • sven leyffer
    • Jon
    • Lee
    • Leyffer
    • Sven
    • Abstracting
    • Argonne
    • Editor-in-chief
    • History
    • Michigan
    • Series
    • Access
    • Business
  • journal citation reports
    • Mathematical
    • Programming
    • Published
    • Science
    • Springer
    • Series
    • Consists
    • Established
    • Optimization
    • Peer-reviewed
    • Scientific
    • Society

Connections between topic areas Semantic bridges

For Mathematical Programming, one of the stronger structural bridges in this analysis connects Mathematical Programming 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
Mathematical ProgrammingAbstracting and indexing · splits 11 ⟂ 22
Mathematical ProgrammingOverview · splits 23 ⟂ 10

Map overview Semantic statistics

Mathematical Programming

Nodes33
Edges32
Triples29
Avg. degree1.94
Density0.060606
Components1

Source & methodology

TTTA analyzes the structure around Mathematical Programming 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 — Mathematical Programming · EN edition · Analysis: TopicsToTalkAbout

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