Research any topic before you write.

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

David Eppstein

David Arthur Eppstein (born 1963) is an American computer scientist and mathematician. He is a distinguished professor of computer science at the University of California, Irvine, known for his work in computational geometry, graph algorithms, and recreational mathematics. Eppstein is also a Wikipedia editor and an administrator on the English Wikipedia.

Research, Career, Art & Science

Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.

Research this topic

Explore the main themes, entities and connections around David Eppstein. Start with the topic map, then use the sections below for research and deeper semantic analysis.

Explore this topic

Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Alma mater
Stanford University · Columbia University
Born
David Arthur Eppstein 1963 (age 62–63) Windsor, England
Citizenship
United States
Doctoral advisor
Zvi Galil
Fields
Computational geometry · Graph algorithms
Thesis
Efficient algorithms for sequence analysis with concave and convex gap costs (1989)

Topics to explore

Browse the full topic structure. Each item opens a new analysis centered on that subject.

Overview

Education and career

Research interests

Selected 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.

Map overview Semantic statistics

David Eppstein

Nodes51
Edges50
Triples24
Avg. degree1.96
Density0.039216
Components1

How this topic connects Entity context

See the strongest relationship patterns around the current topic before diving into the raw triples.

David Eppstein

Top relations

related to External links · 8
David Eppstein → California, DBLP Bibliography Server David, Eppstein, Google Scholar, IrvineDavid Eppstein, University, User, WikipediaDavid Eppstein's
Alma mater · 2
David Eppstein → Columbia University, Stanford University
Fields · 2
David Eppstein → Computational geometry, Graph algorithms
Born · 1
David Eppstein → David Arthur Eppstein 1963 (age 62–63) Windsor, England
Citizenship · 1
David Eppstein → United States
Doctoral advisor · 1
David Eppstein → Zvi Galil
Thesis · 1
David Eppstein → Efficient algorithms for sequence analysis with concave and convex gap costs (1989)
Website · 1
David Eppstein → 11011110.github.io/blog
Workplaces · 1
David Eppstein → University of California, Irvine

Important terminology Word statistics

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

Important terminology

eppstein doi isbn david computer science university graph algorithms 10 symposium wikipedia irvine geometry mathematics pdf also editor california computational

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
David EppsteinAlma materStanford University1.00infobox
David EppsteinAlma materColumbia University1.00infobox
David EppsteinBornDavid Arthur Eppstein 1963 (age 62–63) Windsor, England1.00infobox
David EppsteinCitizenshipUnited States1.00infobox
David EppsteinDoctoral advisorZvi Galil1.00infobox
David EppsteinFieldsComputational geometry1.00infobox
David EppsteinFieldsGraph algorithms1.00infobox
David EppsteinThesisEfficient algorithms for sequence analysis with concave and convex gap costs (1989)1.00infobox
David EppsteinWebsite11011110.github.io/blog1.00infobox
David EppsteinWorkplacesUniversity of California, Irvine1.00infobox
finite element meshinginstance ofHe has published also in application areas0.80text
which is used in engineering designinstance ofHe has published also in application areas0.80text

Related concept clusters Concept neighborhoods

These clusters group vocabulary that occurs around closely connected concepts in the source material.

    Connections between topic areas Semantic bridges

    Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.

    Min side: 3
    For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.