Research any topic before you write.

Find related topics. | Discover entities. | See connections. | Build a topical map.

ProCite: Science & Overview

ProCite, a commercial reference management software program, was designed in the early 1980s by Victor Rosenberg, associate professor in the School of Library and Information Studies at the University of Michigan, Ann Arbor. ProCite was published in 1983 by Personal Bibliographic Software of Ann Arbor, Michigan. In 1996, ProCite was purchased by the…

Language: English [EN]
Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.
100%
More settings
100% 100% 100% 100% 100%

ProCite topic overview

The analysis highlights Science and Overview as prominent areas in the source structure around ProCite.

Related topics
17
Source areas
1
Connected nodes
18
Extracted relationships
7
Concept neighborhoods
17
Bridge connections
18

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 · 17 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.

Developers
Personal Bibliographic Software, Thomson Reuters
Final release
5 / October 26, 1999 (Windows) and September 25, 2001 (Macintosh)
License
Proprietary
Operating system
Microsoft Windows, Mac OS X
Type
Reference management

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

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 ProCite connects Entity context

The extracted context around ProCite shows recurring relationship patterns in the source. For example, ProCite → Bibliography, Francesco Dell'Orso Another extracted example is ProCite → Personal Bibliographic Software, Thomson Reuters. Use these groups to spot repeated connection types before inspecting the individual relationships.

ProCite

Top relations

related to External links · 2
ProCite → Bibliography, Francesco Dell'Orso
Developers · 1
ProCite → Personal Bibliographic Software, Thomson Reuters
Final release · 1
ProCite → 5 / October 26, 1999 (Windows) and September 25, 2001 (Macintosh)
License · 1
ProCite → Proprietary
Operating system · 1
ProCite → Microsoft Windows, Mac OS X
Type · 1
ProCite → Reference management

Important terminology

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

Important terminology

versions reference software published thomson reuters windows science management program designed library information michigan ann arbor 2013 ran dos version

ProCite relationships Subject–Predicate–Object triples

TTTA extracted 7 structured relationships around ProCite. Examples in this analysis include ProCite → Developers → Personal Bibliographic Software, Thomson Reuters and ProCite → Final release → 5 / October 26, 1999 (Windows) and September 25, 2001 (Macintosh). The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
ProCiteDevelopersPersonal Bibliographic Software, Thomson Reuters1.00infobox
ProCiteFinal release5 / October 26, 1999 (Windows) and September 25, 2001 (Macintosh)1.00infobox
ProCiteLicenseProprietary1.00infobox
ProCiteOperating systemMicrosoft Windows, Mac OS X1.00infobox
ProCiteTypeReference management1.00infobox
ProCiterelated to External linksFrancesco Dell'Orso0.60section
ProCiterelated to External linksBibliography0.60section

Related concept clusters Concept neighborhoods

The concept neighborhoods around ProCite bring nearby vocabulary together. In this analysis, examples include Reference, Reuters and Software. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • ProCite
    • Reference
    • Reuters
    • Software
    • Thomson
    • Versions
    • Ann
    • Arbor
    • Archives
    • Bibliographic
    • Designed
    • Discussion
    • Dos
  • procite
    • Reference
    • Reuters
    • Software
    • Thomson
    • Versions
    • Ann
    • Arbor
    • Archives
    • Bibliographic
    • Designed
    • Discussion
    • Dos
  • reference management software
    • Bibliographic
    • Personal
    • Reference
    • Software
    • 1980s
    • Early
    • Victor
    • Also
    • Ann
    • Arbor
    • Archives
    • Designed
  • microsoft windows
    • Microsoft
    • Windows
    • Also
    • Archives
    • Discussion
    • List
    • Operating
    • Personal
    • Ran
    • Bibliographic
    • Management
    • Reference
  • ann arbor
    • Arbor
    • Michigan
    • Software
    • Commercial
    • Early
    • Victor
    • Bibliographic
    • Designed
    • Information
    • Library
    • Management
    • Personal
  • library catalogs
    • Client
    • Databases
    • Server
    • Victor
    • Ann
    • Arbor
    • Information
    • Management
    • Michigan
    • Program
    • Reference
    • Software
  • institute for scientific information
    • Victor
    • Ann
    • Arbor
    • Library
    • Management
    • Michigan
    • Program
    • Reference
    • Reuters
    • Software
    • Thomson
    • Procite
  • university of michigan
    • Ann
    • Arbor
    • Software
    • Victor
    • Bibliographic
    • Personal
    • Program
    • Published
    • Reference
    • Procite

Connections between topic areas Semantic bridges

Bridges highlight paths between different parts of the ProCite map and can reveal research angles that are easy to miss in a flat list.

Min side: 3

Map overview Semantic statistics

ProCite

Nodes19
Edges18
Triples7
Avg. degree1.89
Density0.105263
Components1

Source & methodology

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

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

For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.