Research any topic before you write.

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

Alan Perlis: Works, Technology & Science

Alan J. Perlis (April 1, 1922 – February 7, 1990) was an American computer scientist and professor at Purdue University, Carnegie Mellon University and Yale University. He is best known for his pioneering work in programming languages and in 1966 he became the first recipient of the ACM Turing Award.

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%

Alan Perlis topic overview

The analysis highlights Works, Technology and Science as prominent areas in the source structure around Alan Perlis.

Related topics
35
Source areas
3
Connected nodes
38
Extracted relationships
18
Concept neighborhoods
16
Bridge connections
38

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.

Biography · 23 topics
Overview · 6 topics
Publications · 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.

Known for
IT · ALGOL · APL
Education
Carnegie Mellon University (BS) · Massachusetts Institute of Technology (MS, PhD)
Born
(1922-04-01)April 1, 1922 Pittsburgh, Pennsylvania, U.S.
Died
February 7, 1990(1990-02-07) (aged 67) New Haven, Connecticut, U.S.
Doctoral advisor
Philip Franklin
Doctoral students
Gary Lindstrom · Zohar Manna · David Parnas · John R. Levine

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

Biography

Publications

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 Alan Perlis connects Entity context

The extracted context around Alan Perlis shows recurring relationship patterns in the source. For example, Alan Perlis → David Parnas, Gary Lindstrom, John R. Levine, Zohar Manna Another extracted example is Alan Perlis → Association for Computing Machinery, Carnegie Mellon University, Purdue University, Yale University. Use these groups to spot repeated connection types before inspecting the individual relationships.

Alan Perlis

Top relations

Doctoral students · 4
Alan Perlis → David Parnas, Gary Lindstrom, John R. Levine, Zohar Manna
Workplaces · 4
Alan Perlis → Association for Computing Machinery, Carnegie Mellon University, Purdue University, Yale University
Known for · 3
Alan Perlis → ALGOL, APL, IT
Education · 2
Alan Perlis → Carnegie Mellon University (BS), Massachusetts Institute of Technology (MS, PhD)
Born · 1
Alan Perlis → (1922-04-01)April 1, 1922 Pittsburgh, Pennsylvania, U.S.
Died · 1
Alan Perlis → February 7, 1990(1990-02-07) (aged 67) New Haven, Connecticut, U.S.
Doctoral advisor · 1
Alan Perlis → Philip Franklin
Fields · 1
Alan Perlis → Computer science
Thesis · 1
Alan Perlis → On Integral Equations, Their Solution by Iteration and Analytic Continuation (1950)

Important terminology

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

Important terminology

programming perlis computer university science epigrams institute carnegie yale acm alan mellon 1990 first apl technology purdue algol language work

Alan Perlis relationships Subject–Predicate–Object triples

TTTA extracted 18 structured relationships around Alan Perlis. Examples in this analysis include Alan Perlis → Born → (1922-04-01)April 1, 1922 Pittsburgh, Pennsylvania, U.S. and Alan Perlis → Died → February 7, 1990(1990-02-07) (aged 67) New Haven, Connecticut, U.S.. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
Alan PerlisBorn(1922-04-01)April 1, 1922 Pittsburgh, Pennsylvania, U.S.1.00infobox
Alan PerlisDiedFebruary 7, 1990(1990-02-07) (aged 67) New Haven, Connecticut, U.S.1.00infobox
Alan PerlisDoctoral advisorPhilip Franklin1.00infobox
Alan PerlisDoctoral studentsGary Lindstrom1.00infobox
Alan PerlisDoctoral studentsZohar Manna1.00infobox
Alan PerlisDoctoral studentsDavid Parnas1.00infobox
Alan PerlisDoctoral studentsJohn R. Levine1.00infobox
Alan PerlisEducationCarnegie Mellon University (BS)1.00infobox
Alan PerlisEducationMassachusetts Institute of Technology (MS, PhD)1.00infobox
Alan PerlisFieldsComputer science1.00infobox
Alan PerlisKnown forIT1.00infobox
Alan PerlisKnown forALGOL1.00infobox
Alan PerlisKnown forAPL1.00infobox
Alan PerlisThesisOn Integral Equations, Their Solution by Iteration and Analytic Continuation (1950)1.00infobox
Alan PerlisWorkplacesAssociation for Computing Machinery1.00infobox
Alan PerlisWorkplacesCarnegie Mellon University1.00infobox
Alan PerlisWorkplacesPurdue University1.00infobox
Alan PerlisWorkplacesYale University1.00infobox

Related concept clusters Concept neighborhoods

The concept neighborhoods around Alan Perlis bring nearby vocabulary together. In this analysis, examples include David, Gary and John. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Alan Perlis
    • David
    • Gary
    • John
    • Known
    • Lindstrom
    • Manna
    • Parnas
    • Zohar
    • Algol
    • Association
    • Computing
    • Purdue
  • alan perlis
    • Science
    • University
    • Mellon
    • Carnegie
    • Yale
    • David
    • Gary
    • John
    • Known
    • Lindstrom
    • Manna
    • Parnas
  • computer scientist
    • Science
    • University
    • Perlis
    • Mellon
    • Carnegie
    • Yale
    • Purdue
    • Institute
    • Programming
    • David
    • Gary
    • John
  • carnegie mellon university
    • Mellon
    • University
    • Purdue
    • Institute
    • Technology
    • Yale
    • Science
    • Perlis
    • Computer
    • David
    • Gary
    • John
  • programming languages
    • Languages
    • Programming
    • Turing
    • Language
    • Epigrams
    • Work
    • Algol
    • Association
    • Computing
    • Apl
    • David
    • Gary
  • computer science
    • Science
    • University
    • Perlis
    • Mellon
    • Carnegie
    • Yale
    • Purdue
    • Institute
    • Zohar
    • Programming
    • Mathematics
    • Work
  • algol
    • Award
    • David
    • Gary
    • John
    • Known
    • Lindstrom
    • Manna
    • Parnas
    • Zohar
    • Association
    • Computing
    • Purdue
  • epigrams
    • Association
    • Computing
    • Programming
    • Yale
    • Institute
    • University
    • David
    • Gary
    • John
    • Known
    • Lindstrom
    • Manna

Connections between topic areas Semantic bridges

For Alan Perlis, one of the stronger structural bridges in this analysis connects Alan Perlis with Biography. 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
Alan Perlis — Biography · splits 15 ⟂ 24
Alan Perlis — Overview · splits 32 ⟂ 7
Alan Perlis — Publications · splits 32 ⟂ 7

Map overview Semantic statistics

Alan Perlis

Nodes39
Edges38
Triples18
Avg. degree1.95
Density0.051282
Components1

Source & methodology

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

Source: Wikipedia — Alan Perlis · EN edition · Analysis: TopicsToTalkAbout

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